ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ

DOI: https://doi.org/10.15407/itm2026.01.023 Hydraulic pipeline systems in liquid-propellant rocket engines (LPREs) are numerous and diverse. In staged-combustion LPREs, use is made of reconfigurable hydraulic systems, in which the propellant component flow directions change during an engine start-u...

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Hauptverfasser: CHERNIAVSKYI, O. S., DOLGOPOLOV, S. I., SHEVCHENKO, S. A.
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author CHERNIAVSKYI, O. S.
DOLGOPOLOV, S. I.
SHEVCHENKO, S. A.
author_facet CHERNIAVSKYI, O. S.
DOLGOPOLOV, S. I.
SHEVCHENKO, S. A.
author_institution_txt_mv [ { "author": "O. S. CHERNIAVSKYI", "institution": "https:\/\/orcid.org\/0009-0000-6401-7512 Oles Honchar Dnipro National University 72 Nauky Ave., Dnipro 49045, Ukraine; e-mail: o.s.cherniavskyi@gmail.com" }, { "author": "S. I. DOLGOPOLOV", "institution": "https:\/\/orcid.org\/0000-0002-0591-4106 Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine 15 Leshko-Popel St., Dnipro 49005, Ukraine; e-mail: dolmrut@gmail.com" }, { "author": "S. A. SHEVCHENKO", "institution": "https:\/\/orcid.org\/0000-0002-5495-7479 Institute of Transport Systems and Technologies of the National Academy of Sciences of Ukraine 5 Pysarzhevskoho St., Dnipro 49005, Ukraine; e-mail: sergiishevch@gmail.com" } ]
author_sort CHERNIAVSKYI, O. S.
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datestamp_date 2026-07-13T20:30:24Z
description DOI: https://doi.org/10.15407/itm2026.01.023 Hydraulic pipeline systems in liquid-propellant rocket engines (LPREs) are numerous and diverse. In staged-combustion LPREs, use is made of reconfigurable hydraulic systems, in which the propellant component flow directions change during an engine start-up. A reliable engine start-up requires a smooth transition from the start-up propellant supply to the main propellant supply. The objective of this study is to develop an approach to the mathematical simulation of dynamic processes in a branched reconfigurable hydraulic feed system. A methodological framework for modeling dynamic processes in such systems is proposed. It involves determining the frequency responses of several configurations of a hydraulic system realized at different stages of its operation as a distributed-parameter system. The next step is the construction of a lumped-parameter mathematical model with fluid motion and continuity equations in lumped parameters. Lumped compliances are typically introduced in the hydraulic network model at pipeline junctions. Their number and values are selected so that the frequency responses of the distributed- and lumped-parameter models for each hydraulic system configuration may be in agreement within a prescribed accuracy. To demonstrate the proposed approach, a test reconfigurable hydraulic system is considered. Two configurations of the hydraulic system are set off: from the start-up tank to the gas generator and from the pump outlet to the gas generator. For both configurations, frequency responses of the corresponding distributed-parameter systems are determined. A lumped-parameter mathematical model of dynamic processes in the hydraulic system under analysis is developed. The values of the lumped compliances at the network nodes are identified such that the frequency responses of the distributed- and lumped-parameter models are in satisfactory agreement. It is shown that the values of the lumped compliances remain practically unchanged for different hydraulic system configurations, boundary conditions, or propellant mixture ratios in the gas generator. REFERENCES 1. Thorley A. R. D. Fluid Transients in Pipeline Systems. London: City University, 2004. 304 pp. 2. Su H., Sheng L., Zhao Sh., Lu Ch., Zhu R., Chen Y., Fu Q. Water hammer characteristics and component fatigue analysis of the essential service water system in nuclear power plants. Processes. 2023. V. 11. Iss. 12. 3305.https://doi.org/10.3390/pr11123305 3. Quan L., Gao J., Guo C., Fu C. Analysis of water hammer and pipeline vibration characteristics of submarine local hydraulic system. J. Mar. Sci. Eng. 2023. V.11, Iss.10. 1885.https://doi.org/10.3390/jmse11101885 4. Pylypenko O. V., Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Mathematical modeling of the transient processes in propulsion system of the upper stage of the Cyclone-4M launch vehicle. Science and Innovation 2024. V. 20. No.1. Pp. 49-67. 5. Das D., Padmanabhan P. Study of pressure surge during priming phase of start transient in an initially unprimed pump-fed liquid rocket engine. Propulsion and Power Research. 2022. V. 11. No. 3. Pp. 353-375.https://doi.org/10.1016/j.jppr.2022.07.003 6. Das D., Waghmare Sh., Padmanabhan P., Kumaresan V., Sudhakar D. P. Control of opening duration in a pneumatically operated valve with two-fluid combination and quadratic damping. Journal of Engineering and Applied Science. 2023. V. 70. 41.https://doi.org/10.1186/s44147-023-00207-7 7. Cherniavskyi O. S., Dolgopolov S. I., Shevchenko S. A. Modeling of a check valve operation in the reconfigurable hydraulic feed system of a liquid rocket engine. Teh. Meh. 2025. No. 4. Pp. 19-30.https://doi.org/10.15407/itm2025.04.019 8. Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Dynamic interaction between clustered liquid propellant rocket engines under their asynchronous start-ups. Propuls. Power Res. 2021. V. 10. Iss. 4. Pp. 347-359.https://doi.org/10.1016/j.jppr.2021.12.001 9. Li H., Guo Y., Xu K., Yan X. Simulation of characteristics of staged combustion cycle rocket engine and control valve based on AMESim/Simulink. Journal of Aerospace Power. 2024. V. 39. Iss. 1. 8 pp. https://doi.org/10.13224/j.cnki.jasp.20210401 (In Chinese). 10. Su Q., Wang J., Yan M., Sun Z., Huang W., Zha B. Dynamic characteristics of LOX/Kerosene variable thrust liquid rocket engine test system based on general modular simulation method. International Journal of Aerospace Engineering. 2022. 14 pp. https://doi.org/10.1155/2022/2171471https://doi.org/10.1155/2022/2171471 11. Huang P., Yu H., Wang T. A study using optimized LSSVR for real-time fault detection of liquid rocket engine. Processes. 2022. V.10. Iss. 8. 1643.https://doi.org/10.3390/pr10081643 12. Dong L., Nie W., Li G. Modeling, simulation and experimental study of squeeze engine system. Journal of Physics: Conference Series. 2022. V. 2288. 012003.https://doi.org/10.1088/1742-6596/2228/1/012003 13. Naderi M., Karimi H., Guozhu L. Modeling the effect of reusability on the performance of an existing LPRE. Acta Astronautica. 2021. V. 181. Iss. 4. Pp. 201-216.https://doi.org/10.1016/j.actaastro.2020.12.001 14. Pérez-Roca S., Marzat J., Piet-Lahanier H., Langlois N., Galeotta M., Farago F., Le Gonidec S. Model-based robust transient control of reusable liquid-propellant rocket engines. IEEE Transactions on Aerospace and Electronic Systems. 2021. V. 57. Iss.1. Pp. 129-144.https://doi.org/10.1109/TAES.2020.3010668 15. Degtyarev A. V., Shulga V. A., Zhivotov A. I., Dibrivny A. V. The development of lox-kerosene liquid rocket engines family for perspective launch vehicles of Yuzhnoye SDO based on proven technologies. Aerospace Technic and Technology. 2013. No. 1. Pp. 44-50. (In Russian). 16. Prokopchuk А. А., Shulga V. А. The advanced liquid rocket engine line of SDO "Yuzhnoye" for the creation of new families of launch vehicles. Kosm Nauka Technol. 2015. V. 21, No. 5. Pp. 28-35. (In Russian).https://doi.org/10.15407/knit2015.05.028 17. Prokopchuk O. O., Shulga V. A. New and advanced liquid rocket engines of the Yuzhnoye SDO. Kosm. Teh. Raket. Vooruž. 2024. No 1 (121). Pp. 9-18. ( in Ukrainian).https://doi.org/10.33136/stma2024.01.009 18. Pylypenko V. V., Zadontsev V. A., Natanzon M. S. Cavitation Oscillations and Dynamics of Hydraulic Systems. Moscow: Mashinostroyeniye, 1977. 352 p. (In Russian). 19. Fox J. A. Hydraulic Analysis of Unsteady Flow in Pipe. London: Red Globe Press, 1977. 216 pp.https://doi.org/10.1007/978-1-349-02790-3 20. Pylypenko O., Dolgopolov S., Nikolayev O., Khoriak N., Kvasha Yu., Bashliy I. Determination of the thrust spread in the Cyclone-4M first stage multi-engine propulsion system during its start. Science and Innovation. 2022. V. 18. No. 6. Pp. 97-112. 21. Dolgopolov S., Cherniavskyi O., Shevchenko S. Mathematical modeling of dynamic processes in the branched reconfigurable fuel feed system of a liquid‑propellant rocket engine. CEAS Space Journal. 2025. 14 pp. https://doi.org/10.1007/s12567-025-00691-y 22. Shevyakov A. A., Kalnin V. M., Naumenkova M. V., Dyatlov V. G. Theory of Automatic Control of Rocket Engines. Moscow: Mashinostroyeniye, 1978. 288 pp. (in Russian). 23. Belyaev E. N., Chervakov V. V. Mathematical Modeling of LPRE. Moscow: MAI-PRINT Publ., 2009. 280 рp. (In Russian). 24. Yan Z., Peng X., Cheng Y., Wu J. Modeling and simulation of system dynamics for spacecraft propulsion system. Applied Mechanics and Materials. 2012. Vs. 229-231. Pp. 2112-2116.https://doi.org/10.4028/www.scientific.net/AMM.229-231.2112 25. Altshul A. D. Hydraulic Resistances. Moscow: Nedra, 1970. 216 pp. (In Russian).
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fulltext 23 UDK 621.454.2 https://doi.org/10.15407/itm2026.01.023 O. S. CHERNIAVSKYI1, https://orcid.org/0009-0000-6401-7512 S. I. DOLGOPOLOV2, https://orcid.org/0000-0002-0591-4106 S. A. SHEVCHENKO3, https://orcid.org/0000-0002-5495-7479 FEATURES OF THE MATHEMATICAL SIMULATION OF DYNAMIC PROCESSES IN THE RECONFIGURABLE PROPELLANT FEED HYDRAULIC SYSTEM OF LIQUID-PROPELLANT ROCKET ENGINES 1 Oles Honchar Dnipro National University, 72 Nauky Avenue, Dnipro, 49045, Ukraine; e-mail: o.s.cherniavskyi@gmail.com 2Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and State Space Agency of Ukraine, 15 Leshko-Popelya Str., Dnipro, 49005, Ukraine; e-mail: dolmrut@gmail.com 3 Institute of Transport Systems and Technologies of the National Academy of Sciences of Ukraine, 5 Pisarzhev- sky Str., Dnipro, 49005, Ukraine; e-mail: sergiishevch@gmail.com Гідравлічні трубопровідні системи в рідинних ракетних двигунах (РРД) є численними та різномані- тними. У РРД з допалюванням генераторного газу відомі гідравлічні системи змінної структури, у яких під час запуску двигуна змінюється напрямок потоків компонентів палива. Для надійного запуску РРД необхідно забезпечити плавний перехід від живлення пусковим пальним до живлення основним пальним. Метою цієї роботи є розробка підходу до математичного моделювання динамічних процесів у розгалуже- ній гідравлічній системі живлення зі змінною структурою. Розроблено методичний підхід до математич- ного моделювання динамічних процесів у розгалуженій гідравлічній системі зі змінною структурою. Він передбачає визначення частотних характеристик кількох конфігурацій гідравлічної системи, які реалізу- ються на різних етапах її роботи, як системи з розподіленими параметрами. Надалі складається математи- чна модель із зосередженими параметрами, що містить рівняння руху та нерозривності рідини у зосере- джених параметрах. Зосереджені податливості розміщуються у розрахунковій гідравлічній схемі зазвичай у місцях розгалуження трубопроводів. Їхню кількість і значення задають таким чином, щоб частотні хара- ктеристики систем з розподіленими та зосередженими параметрами кожної конфігурації гідравлічної системи змінної структури узгоджувалися з заданою точністю. Для демонстрації запропонованого підходу розглянуто тестову гідравлічну систему змінної структури. Виділено дві конфігурації гідравлічної систе- ми: від пускового бачка до газогенератора та від виходу з насоса до газогенератора, для яких визначено частотні характеристики для систем з розподіленими параметрами. Побудовано математичну модель ди- намічних процесів у аналізованій гідравлічній системі із зосередженими параметрами. Визначено значен- ня зосереджених податливостей у вузлах, що дозволяють задовільно узгодити частотні характеристики з розподіленими та зосередженими параметрами. Встановлено, що значення зосереджених податливостей практично не змінюються за різних конфігурацій гідравлічної системи, граничних умов та співвідношень компонентів палива в газогенераторі. Ключові слова: рідинний ракетний двигун, система живлення змінної структури, розгалужений гі- дравлічний тракт, математичне моделювання, імпедансний метод, частотна характеристика. Hydraulic pipeline systems in liquid-propellant rocket engines (LPREs) are numerous and diverse. In staged-combustion LPREs, use is made of reconfigurable hydraulic systems, in which the propellant component flow directions change during an engine start-up. A reliable engine start-up requires a smooth transition from the start-up propellant supply to the main propellant supply. The objective of this study is to develop an approach to the mathematical simulation of dynamic processes in a branched reconfigurable hydraulic feed system. A meth- odological framework for modeling dynamic processes in such systems is proposed. It involves determining the frequency responses of several configurations of a hydraulic system realized at different stages of its operation as a distributed-parameter system. The next step is the construction of a lumped-parameter mathematical model with fluid motion and continuity equations in lumped parameters. Lumped compliances are typically introduced in the hydraulic network model at pipeline junctions. Their number and values are selected so that the frequency re- sponses of the distributed- and lumped-parameter models for each hydraulic system configuration may be in agreement within a prescribed accuracy. To demonstrate the proposed approach, a test reconfigurable hydraulic system is considered. Two configurations of the hydraulic system are set off: from the start-up tank to the gas generator and from the pump outlet to the gas generator. For both configurations, frequency responses of the corresponding distributed-parameter systems are determined. A lumped-parameter mathematical model of dynam- ic processes in the hydraulic system under analysis is developed. The values of the lumped compliances at the network nodes are identified such that the frequency responses of the distributed- and lumped-parameter models are in satisfactory agreement. It is shown that the values of the lumped compliances remain practically unchanged for different hydraulic system configurations, boundary conditions, or propellant mixture ratios in the gas generator. Keywords: liquid-propellant rocket engine, reconfigurable feed system, branched hydraulic circuit, math- ematical simulation, impedance method, frequency response. © O. S. Cherniavskyi, S. I. Dolgopolov, S. A. Shevchenko, 2026 The article is an open access article distributed underthe terms and conditions of the Creative Commons Attributions ( CC BY) license (https/creativecommons.org/licenses/by/4.0/) ISSN 1561-9184 (Print) ISSN 2616-6380 (Online) Технічна механіка. 2026. № 1. https://doi.org/10.15407/itm2026.01.023 mailto:o.s.cherniavskyi@gmail.com mailto:dolmrut@gmail.com mailto:sergiishevch@gmail.com 24 Introduction. Pipeline systems are widely used in industry, transportation, construction, and municipal utilities [1]. Particularly stringent reliability require- ments are imposed when transporting liquids and gases in the chemical and petro- leum industries, nuclear power engineering [2], and shipbuilding [3]. The most severe operating conditions, associated with structural vibrations of pipelines, oc- cur in aviation and, especially, rocket technology [4, 5]. In liquid-propellant rocket engines (LPREs), over a relatively short time interval, the pipeline systems may first be exposed to cryogenic propellant components during filling and subsequent- ly to high temperatures and intense heat fluxes from the regions where propellant combustion occurs, namely the gas generators and combustion chambers. Hydraulic and pneumatic pipeline systems in LPREs are numerous and di- verse. Mathematical modeling of dynamic processes in these systems is subject to the same stringent requirements as the modeling of individual LPRE units and as- semblies. At present, mathematical simulation of LPRE operating processes shows a tendency to focus on individual engine components [6, 7] and to incorporate an extensive range of phenomena and effects observed at different stages of LPRE operation [8–10]. This enables effective in-service diagnostics of rocket engines [11], investigation of LPRE dynamic characteristics [12], decision-making on LPRE reuse [13], and development of LPRE control loops [14]. A well-known LPRE configuration with gas-generator afterburning and non- hypergolic propellant components employs a starting fuel for ignition [15 – 17]. This starting fuel is contained in a dedicated ampoule; after the ampoule is opened, the fuel is supplied to the ignition cavities of the gas generator and the combustion chamber, where it ignites spontaneously upon contact with the oxidizer. After LPRE start and transition to the main fuel, the hydraulic path that includes the starting-fuel ampoule is effectively shut off due to its high hydraulic resistance. In steady-state operation, the engine is supplied with the main fuel through the prima- ry hydraulic line. The described ignition scheme and the transition from starting fuel to the main fuel are based on the use of a reconfigurable propellant feed hydraulic system. For reliable LPRE start-up, it is necessary to ensure a smooth transition from starting- fuel supply to main-fuel supply. This transition changes the propellant mixture ratio in the gas generator and can significantly affect the stability of turbopump operating parameters during start-up. The objective of this study is to develop an approach for mathematical model- ing of dynamic processes in a branched reconfigurable propellant feed hydraulic system during its operation. 1. Mathematical Modeling of Dynamic Processes in Branched Pipelines. Pipeline systems in LPREs are often long and highly branched. The flow in these systems is predominantly turbulent, and wave processes may be significant. For most of these hydraulic systems, except for special cases, the characteristic flow velocity is much lower than the speed of sound; therefore, the convective terms in the unsteady momentum and continuity equations can be neglected [18]. On this basis, mathematical modeling of dynamic processes in LPRE pipeline systems should be formulated by solving the partial differential equations governing un- steady flow and continuity [18]: 25 , z ,   +  +  =      +  =    p m k m A t A m A p z tc 2 1 0 0 (1) where p and – are the fluid pressure and mass flow rate; t – time; z – axial co- ordinate along the pipeline; A m – the pipeline cross-sectional area; k – the equivalent linear friction coefficient per unit pipeline length    =  p A k l m 2 ; p – the hydraulic pressure loss; l – the length of the pipeline section; m –the steady- state mass flow rate; c – the speed of sound in the fluid flowing through a pipeline with elastic walls. To solve system (1), the method of characteristics is often used [5, 19]. A less common approach is the impedance method [18], despite its successful application to a wide range of problems related to LPRE hydraulic system dynamics. In partic- ular, the impedance method has recently been used to model the start-up of various propulsion systems [20], to simulate transient processes in a hydraulic system con- taining lumped gas cavities and undissolved gas in the liquid [20], and to analyze coupled longitudinal oscillations of the pipeline structure and the liquid. For branched pipeline systems, the impedance method is more appropriate be- cause it enables compact, universal models to be developed both for the initial LPRE start-up period during filling of the hydraulic lines with propellant compo- nents and for simulating dynamic processes during engine run-up to steady-state regime and under steady-state conditions. When the impedance method is applied, the solution of system (1) for a pipeline segment between nodes m and n can be represented as a passive two-port (four-terminal) network: , ,  =  +    =  +  n m m m m n m n nm m nn m p b p b m m b p b m where  mp and  np – are the pressure deviations at the inlet and outlet of the two-port network from their steady-state values;  nm and  mm – are the mass- flow-rate deviations at the inlet and outlet from their steady-state values of the two-port network; mmb , mnb , nmb and nnb – are the elements of the transfer matrix of the pipeline segment, which for a distributed-parameter system are de- fined as follows: ( ),=  m mb ch l ( ),= −   m n Bb Z sh l ( ) ,   = −nm B sh l b Z ( ) ,=  nnb ch l where  – complex wave propagation “constant” per unit pipeline length   = Z Y ; BZ – characteristic (wave) impedance of the pipeline,   =B Z Z Y ; Z – hydraulic series impedance per unit pipeline length, ( ) = +Z j k A 1 ; Y – shunt admittance (conductance) per unit pipeline length,    = A j Y c 2 ; j – imaginary unit;  – angular frequency. 26 Using the passive two-port network representation, the input impedance ( )mZ j and the gain (transfer) factor ( )W j of the considered pipeline segment can be determined when the output impedance is known ( )nZ j . ( ) ( ) ( ) ( ) ( )   −    = =     − m m n nn n m m nm n m m p j b b Z j Z j m j b Z j b , ( ) ( ) ( ) ( )    = = +    n m m m n m p j W j b b p j Z j1 1 . The dynamic gain of the entire hydraulic system composed of pipeline seg- ments con-nected in series is determined as the product of the gain factors of the individual segments. At branching points where three or more segments are con- nected, the frequency characteristics ( )Z j and are obtained from the conditions of mass-flow balance for the incoming and outgoing flows, and from equality of pressures in all connected branches [18]. With boundary conditions specified at the ends of the pipeline system, the im- pedance-method approach presented enables the solution of system (1) for a pipe- line network of virtually any complexity. The solution yields the natural (resonant) frequencies of fluid oscillations and the results of a stability analysis for the dis- tributed-parameter pipeline system. In contrast to the method of characteristics, the impedance method also provides insight into the frequency range of the dynamic processes involved. For a reconfigurable hydraulic system, the impedance-based approach pre- sented requires refinement. It is proposed to consider several configurations of such a system that occur at different stages of its operation. The transition from one configuration to another during start-up simulation is accomplished either by the operation of the check valves or, in a forced manner, by programmatically clos- ing some valves and opening others [21]. 2. Lumped-Parameter Mathematical Model. To simulate transient process- es in the hydraulic system during LPRE start-up, a lumped-parameter model of the hydraulic system dynamics is commonly used [4, 20]. Its construction relies on solutions of the differential equation system (1) obtained for the hydraulic line treated as a distributed-parameter system. In general, the proposed approach to mathematical modeling of dynamic processes in a branched reconfigurable propel- lant feed hydraulic system comprises several stages. At the first stage, the frequency characteristics of several configurations of the reconfigurable hydraulic system that occur at different stages of its operation are determined by treating the system as a distributed-parameter system. Next, a lumped-parameter mathematical model is formulated, including the lumped- parameter forms of the fluid momentum and continuity equations. ( ) , ,  =  + +     = −   +  n m m m m n m m m p p R j J m m j C p m where mR , mJ – are the coefficients of hydraulic (resistive) and inertial re- sistance of the pipeline segment; mC – is the lumped compliance of the pipeline segment [22–24]. 27 The coefficients mJ are determined from the geometric characteristics of the hydraulic lines, whereas the coefficients mR are obtained from engine balance calculations or from the corresponding pressure-drop relations for hydraulic losses [25]. Lumped compliances are typically placed in the computational hydraulic scheme at pipeline branching nodes or at locations associated with long pipeline sections. The values of the compliance coefficients mC are selected so that, for each configuration of the reconfigurable hydraulic system, the frequency charac- teristics of the distributed-parameter and lumped-parameter models match within a prescribed accuracy over a specified frequency range. The lumped-parameter mathematical model is then used directly to simulate transient processes in the reconfigurable hydraulic system. Compared with the method of characteristics [19], determining transient pro- cesses using the approach proposed in this work includes one additional intermedi- ate stage, namely, the evaluation and matching of the frequency characteristics of the hydraulic system represented by distributed-parameter and lumped-parameter models. However, this stage is not redundant, because it enables a compact math- ematical model to be constructed that describes the dynamic processes over a guaranteed frequency range, which is required for transient process simulation in a reconfigurable LPRE propellant feed system. 3. Example of a Reconfigurable Propellant Feed Hydraulic System. To demonstrate the proposed approach, we consider the simplest reconfigurable hy- draulic system, namely the fuel feed system of the gas generator of a test restarta- ble staged-combustion LPRE. This hydraulic system includes (see Fig. 1) three hydraulic lines: from the starting tank ( Bp ) to the branching node ( p3 ), from the pump outlet ( pp ) to the branching node, and from the branching node to the gas generator ( ggp ). The first and second lines contain check valves (labeled valve 1 and valve 2 in the scheme). The third line includes a solenoid valve, labeled valve 3, which is intended to isolate the fuel cavity from oxidizer vapors and purge gases. oggm – oxidizer flow rate to the gas generator; fggm , fpm , fbm , fm 23 , fm 12 – fuel flow rates in the corre- sponding sections; p1 , p2 , p3 – pressures at the nodes; ggp – pressure in the gas generator; Bp – pressure in the starting tank; pp – pressure at the fuel pump outlet Fig. 1 – Computational scheme of the feed system of the test LPRE 28 The reconfigurable hy- draulic system operates as follows. Upon a command from the control system, valve 3 is opened. At this initial time, the pump shaft is not yet spinning up, and the pressure at the fuel pump outlet pp is much lower than the pressure in the start- ing tank Bp . Therefore, the fuel flows from the starting tank through the branching node ( p3 ) to the gas genera- tor. Check valve 2 prevents fuel from entering the pump line. After ignition of the propellant components in the gas generator and sufficient spin-up of the pump shaft, the pressure at the fuel pump outlet pp becomes higher than the starting-tank pres- sure Bp . Check valve 1 clo- ses, the fuel flow from the starting tank stops, and the gas generator is supplied with fuel from the pump line. Thus, during operation of the reconfigurable hydraulic system, the configuration of the hydraulic path supplying fuel to the gas generator changes. Initially, fuel flows from the starting tank ( Bp ) through the branching node ( p3 ) to the gas generator ( ggp ). Subsequently, fuel is supplied from the pump ( pp ) through the branching node ( p3 ) to the gas generator ( ggp ). Therefore, mathe-matical modeling of dy- namic processes in the reconfigurable hydra-ulic system under consideration re- quires developing dynamic models for each of these two branches. 4. Results of Mathematical Modeling. The frequency characteristics were determined for two selected branches of the reconfigurable hydraulic system: from the starting tank to the gas generator ( ) gg B    p j p and from the fuel pump outlet to the gas generator ( ) gg P    p j p . In evaluating these frequency characteristics, each check valve was assumed to be either fully open or fully closed. In the fully open state, the valve provides minimal hydraulic resistance; in the fully closed state, the 0.0 0.5 1.0 1.5 0 200 400 1 2 3 f, Hz ( )   j p p P gg mod a -6 -4 -2 0 0 200 400 1 3 2 f , Hz ( ),arg    j p p P gg rad b 1 – distributed-parameter model; 2 – lumped-parameter model; 3 – lumped-parameter model with =jC 0 Fig. 2 – Magnitude (a) and phase (b) of the gain factor ( ) gg P    p j p 29 hydraulic line containing the check valve is blocked. The boundary condition at the gas generator cross-section (impedance ( ) gg fgg    p j m ) was specified using the equations for determining the gas-generator pressure under choked discharge of the combustion products. gg gg ogg fgg sgg gg gg gg = + −  V dp m m m R T dt , gg gggg gg sgg gg gggg gg  +  −  =      +  A p m R T 1 12 1 . (2) Assuming ogg =m const and gg gg =R T const , we obtain, where ggV – is the volume of the gas generator combustion zone; ggR – is the specific gas constant of the combustion products in the gas generator; ggT – is the temperature of the gg gggg gg gg gg gg gg gg gggg gg  +  −       +   =      +       fgg V A j p m R T R T 1 12 1 combustion prod- ucts in the gas generator; gg – is the specific heat ratio of the combustion products in the gas genera- tor; ggA – is the critical (throat) area of the gas generator. The frequency de- pendences of the gain fac- tors ( ) gg B    p j p and ( ) gg P    p j p for the dis- tributed-parameter mo-dels are shown in Figs. 2 and 3. They were obtai-ned under boundary conditions corres-ponding to the nom- inal propellant mixture ra- tio in the gas generator. The frequency range over which gain factors ( ) gg B    p j p and ( ) gg P    p j p are presented was selected to include at least one reso- nant frequency. 0.0 0.5 1.0 1.5 0 200 400 1 2 3 f, Hz ( )   j p p B gg mod а -8 -6 -4 -2 0 0 200 400 1 2 3 f , Hz ( ),arg    j p p B gg rad б 1 – distributed-parameter model; 2 – lumped-parameter model; 3 – lumped-parameter model with =jC 0 Fig. 3 – Magnitude (a) and phase (b) of the gain factor ( ) gg B    p j p 30 For the feedline from the pump, the resonant frequency is 459 Hz, whereas for the feedline from the starting tank, two resonant frequencies fall within the same range – 272 Hz and 541 Hz. This range was selected with a margin, because the working frequency range typically considered in mathematical modeling of low- frequency dynamic processes in LPREs does not exceed 100 Hz [4]. It should be noted that the “gas generator-starting tank” line exhibits a larger number of reso- nant frequencies, which is attributed to its greater length. When constructing the lumped-parameter dynamic model of the hydraulic system, the large length of the “gas generator–starting tank” line was taken into account. For this purpose, this line was divided into three sections and therefore includes two intermediate nodes (nodes p1 and p2 in Fig. 1). Another node is lo- cated at the branching point ( p3 ). Lumped compliances С1 , С 2 andС 3 . are placed at these nodes. In the pipelines between the nodes, the liquid is treated as incompressible and its dynamics are described by the momentum equations. The hydraulic resistances introduced by the check valves are determined by their effec- tive flow areas and depend primarily on the pressure drop between the valve inlet and outlet. According to the proposed approach, the lumped-parameter dynamic model of the reconfigurable fuel hydraulic system can be written as follows: fb fb B 1 fb fb= − −    dm J p p m dt 2 , (3) fb f12= − dp C m m dt 1 1 , (4) f12 f12 1 2 f12 f12= − −    dm J p p m dt 2 , (5) f12 f23= − dp C m m dt 2 2 , (6) ( )f f23 3 f23 V1 f23= − −  +    dm J p p m dt 223 2 , (7) ( )fp fp p 3 fp V2 fp= − −  +   dm J p p m dt 2 , (8) f23 fp fgg= + − dp C m m m dt 3 3 , (9) ( )fgg fgg gg fgg V3 fgg= − −  +   dm J p p m dt 2 3 , (10) where – is the fuel density; fb , f12 , f23 , fp , fgg – are hydraulic resistance coefficients determined from hydraulic calculations; fbJ , f12J , f23J , fpJ , fggJ – are inertial resistance coefficients obtained from the geometric characteristics of the pipelines; V1 , V2 , V3 – are the hydraulic resistance coefficients of the check valves, determined by their effective flow areas V1A , V2A , V3A : V1 V1  = A 1 2 , V2 V2  = A 1 2 , V3 V3  = A 1 2 . (11) Thus, the dynamic behavior of the analyzed lumped-parameter reconfigurable hydraulic system is described by a system consisting of the ordinary differential 31 equations (3)–(10), the expressions for the hydraulic resistance coefficients of the check valves (11), and the gas-generator boundary conditions (2). The values of the lumped compliancesС1 , С 2 and С 3 are selected to achieve the required accuracy in matching the frequency characteristics of the hydraulic system obtained from the distributed-parameter and lumped-parameter models. Figures 2 and 3 show the gain factors of the lumped-parameter hydraulic system ( ) gg B    p j p and ( ) gg P    p j p , obtained with the same compliance values С1 , С 2 and С 3 , used for both gain factors. An analysis of Figs. 2 and 3 indicates that the gain factors predicted by the distributed-parameter and lumped-parameter models are in satisfactory agreement over the considered frequency range. In addition, it was found that the gain factors ( ) gg B    p j p and ( ) gg P    p j p obtained under different boundary conditions and different propellant mixture ratios in the gas generator, can also be described satisfactorily by the lumped-parameter system using the same compliance values С1 , С 2 and С 3 . This makes it possible to use constant compliance values , and С 3 throughout the entire engine start-up process. Introducing compliances С1 and С 2 into the lumped-parameter model made it possible to reproduce two resonances in the frequency response ( ) gg B    p j p . The introduced compliance values were set equal to the compliance at the pipeline branching node. = = C C C 2 2 3 1.04, = = C C C 1 1 3 0.65. Figures 2 and 3 also present the gain factors of the lumped-parameter hydrau- lic system ( ) gg B    p j p and ( ) gg P    p j p obtained with zero values of the lumped compliances С1 , and . These results indicate that, for the lumped-parameter model describes the dynamic processes satisfactorily within the frequency range up to 70 Hz. This model is simpler and can be used for mathematical modeling of low-frequency dynamic processes; however, in this case the system equations take a slightly different form. The absence of compliances implies equality of the flow rates at the node. Therefore, to determine the nodal pressure, instead of the conti- nuity equation it is necessary to use a set of momentum equations in which the time derivatives of the flow rates are set to zero. Conclusions. 1. A methodological approach to the mathematical modeling of dynamic pro- cesses in a branched reconfigurable hydraulic system has been developed. First, the frequency characteristics of several configurations of the reconfigurable hy- draulic system occurring at different stages of its operation are determined using a distributed-parameter model. Next, a lumped-parameter mathematical model is formulated, incorporating the corresponding fluid momentum and continuity equa- tions. The inertial resistance coefficients are determined from the geometric char- acteristics of the hydraulic lines, whereas the coefficients of hydraulic resistance 32 are obtained from engine balance calculations or from the corresponding pressure- drop relations for hydraulic losses. Lumped compliances are placed in the compu- tational hydraulic scheme, typically at pipeline branching nodes or at locations associated with long pipeline sections. Their number and values are selected so that, for each configuration of the reconfigurable hydraulic system, the frequency characteristics of the distributed-parameter and lumped-parameter models match within a prescribed accuracy over a specified frequency range. 2. To demonstrate the proposed approach, a reconfigurable hydraulic system was considered, namely the fuel feed system of the gas generator of a test restarta- ble LPRE employing a gas-generator afterburning (staged-combustion) cycle. Two configurations of the hydraulic system were identified: from the starting tank to the gas generator, and from the fuel pump outlet to the gas generator. For each configuration, the frequency characteristics were determined using distributed- parameter models. One resonant frequency of 459 Hz was identified in the pump line, whereas two resonant frequencies, 272 Hz and 541 Hz, were found in the longer line from the starting tank. A lumped-parameter model of the dynamic pro- cesses in the analyzed hydraulic system was then developed. It includes one node at the pipeline branching point and two nodes along the long pipeline between the starting tank and the gas generator. The values of the lumped compliances at the nodes were determined to achieve satisfactory agreement between the frequency characteristics of the distributed-parameter and lumped-parameter models. It was found that the lumped compliance values remain virtually unchanged under differ- ent system configurations, boundary conditions, and propellant mixture ratios in the gas generator. 1. Thorley A. R. D. Fluid Transients in Pipeline Systems. London: City University. 2004. 304 p. 2. Su H., Sheng L., Zhao Sh., Lu Ch., Zhu R., Chen Y., Fu Q. Water Hammer Characteristics and Component Fatigue Analysis of the Essential Service Water System in Nuclear Power Plants. Processes 11. 2023. 14 p. https://doi.org/10.3390/pr11123305 3. Quan L., Gao J., Guo C., Fu C. Analysis of water hammer and pipeline vibration characteristics of submarine local hydraulic system. J. Mar. Sci. Eng. 2023. 11. 1885. https://doi.org/10.3390/jmse11101885 4. Pylypenko O. V., Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Mathematical modeling of the transient processes in propulsion system of the upper stage of the Cyclone-4M launch vehicle. Science and Innovation. 2024. 20(1). P. 49–67. 5. Das D., Padmanabhan P. Study of pressure surge during priming phase of start transient in an initially unprimed pump-fed liquid rocket engine. Propulsion and Power Research. 2022. 11(3). P. 353–375. https://doi.org/10.1016/j.jppr.2022.07.003 6. Das D., Waghmare Sh., Padmanabhan P., Kumaresan V., Sudhakar D. P. Control of opening duration in a pneumatically operated valve with two-fuid combination and quadratic damping. Journal of Engineering and Applied Science. 2023. Р. 20. https://doi.org/10.1186/s44147-023-00207-7 7. Cherniavskyi O. S., Dolgopolov S. I., Shevchenko S. A. Modeling of a check valve operation in the reconfigurable hydraulic feed system of a liquid rocket engine. Tech. Mech. 2025. № 4. P. 19–30. https://doi.org/10.15407/itm2025.04.019 8. Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Dynamic interaction between clustered liquid propellant rocket engines under their asynchronous start-ups. Propuls. Power Res. 2021. 10(4), P. 347–359. https://doi.org/10.1016/j.jppr.2021.12.001 9. Li H., Guo Y., Xu K., Yan X. Simulation of characteristics of staged combustion cycle rocket engine and control valve based on AMESim/Simulink. Journal of Aerospace Power. 2024. 39(1), 8 р. https://doi.org/10.13224/j.cnki.jasp.20210401 (in Chinese) 10. Su Q., Wang J., Yan M., Sun Z., Huang W., Zha B. Dynamic characteristics of LOX/Kerosene variable thrust liquid rocket engine test system based on general modular simulation method International. Journal of Aero- space Engineering. 2022. 14 p. https://doi.org/10.1155/2022/2171471 11. Huang P., Yu H., Wang T. A Study Using Optimized LSSVR for Real-Time Fault Detection of Liquid Rocket Engine. 2022. Processes 10. P. 16. https://doi.org/10.3390/pr10081643 12. Dong L., Nie W., Li G. Modeling, simulation and experimental study of squeeze engine system. Journal of Physics: Conference Series. 2022. P. 8. https://doi:10.1088/1742-6596/2228/1/012003 13. Naderi M., Karimi H., Guozhu L. Modeling the effect of reusability on the performance of an existing LPRE. Acta Astronautica. 2021. 181(4), P. 201–216. https://doi.org/10.1016/j.actaastro.2020.12.001 https://doi.org/10.3390/pr11123305 https://doi.org/10.3390/jmse11101885 https://doi.org/10.1016/j.jppr.2022.07.003 https://doi.org/10.1186/s44147-023-00207-7 https://doi.org/10.15407/itm2025.04.019 https://doi.org/10.1016/j.jppr.2021.12.001 https://doi.org/10.13224/j.cnki.jasp.20210401 https://doi.org/10.1155/2022/2171471 https://doi.org/10.3390/pr10081643 https://doi:10.1088/1742-6596/2228/1/012003 https://doi.org/10.1016/j.actaastro.2020.12.001 33 14. Pérez-Roca S., Marzat J., Piet-Lahanier H., Langlois N., Galeotta M., Farago F., Le Gonidec S. Model- based robust transient control of reusable liquid-propellant rocket engines. IEEE Transactions on Aerospace and Electronic Systems. 2021. 57(1), P. 129–144. https://doi.org/10.1109/TAES.2020.3010668 15. Degtyarev A. V., Shulga V. A., Zhivotov A. I., Dibrivny A. V. The development of lox-kerosene liquid rocket engines family for perspective launch vehicles of Yuzhnoye SDO based on proven technologies. Aerospace Technic and Technology. 2013. No 1. P. 44–50. (In Russian). 16. Prokopchuk А. А., Shulga V. А. The advanced liquid rocket engine line of SDO “Yuzhnoye” for the creation of new families of launch vehicles. Space Science and Technology. 2015. 21(5), P. 28–35. (In Russian). https://doi.org/10.15407/knit2015.05.028 17. Prokopchuk O. O., Shulga V. A. New and advanced liquid rocket engines of the Yuzhnoye SDO. Kosm. teh. Raket. vooruž. 2024. No 1 (121). P. 9–18. ( in Ukrainian) https://doi.org/10.33136/stma2024.01.009 18. Pylypenko V. V., Zadontsev V. A., Natanzon M. S. Cavitation Oscillations and Dynamics of Hydraulic Sys- tems. Mechanical Engineering. Moscow: Mashinostroenie. 1977. 352 p. (In Russian). 19. Fox J. A. Hydraulic Analysis of Unsteady Flow in Pipe. London: Red Globe Press. 1977. 216 p. https://doi.org/10.1007/978-1-349-02790-3 20. Pylypenko O., Dolgopolov S., Nikolayev O., Khoriak N., Kvasha Yu., Bashliy I. Determination of the thrust spread in the Cyclone-4M first stage multi-engine propulsion system during its start. Science and Innovation. 2022. Vol. 18, № 6. P. 97–112. 21. Dolgopolov S., Cherniavskyi O., Shevchenko S. Mathematical modeling of dynamic processes in the branched reconfigurable fuel feed system of a liquid‑propellant rocket engine. CEAS Space Journal. 2025. P. 14. https://doi.org/10.1007/s12567-025-00691-y 22. Shevyakov A. A., Kalnin V. M., Naumenkova M. V., Dyatlov V. G. Theory of automatic control of rocket en- gines. Moscow: Mashinostroenie. 1978. 288 p. (in Russian). 23. Belyaev E. N., Chervakov V. V. Mathematical Modeling of LPRE. Moscow: MAI-PRINT Publ. 2009. 280 р. (in Russian). 24. Yan Z., Peng X., Cheng Y., Wu J. Modeling and simulation of system dynamics for spacecraft propulsion system. Applied Mechanics and Materials. 2012. Vols 229-231. Pp. 2112–2116. https://doi.org/10.4028/www.scientific.net/AMM.229-231.2112 25. Altshul, A. D. Hydraulic Resistances. M: Nedra, 1970. 216 p. (in Russian). Received on February 18, 2026; approved on March 26, 2026; published on March 31, 2026 https://doi.org/10.1109/TAES.2020.3010668 https://doi.org/10.15407/knit2015.05.028 https://journal.yuzhnoye.com/search/Prokopchuk+O.+O./ https://journal.yuzhnoye.com/search/Shulga+V.+A./ https://doi.org/10.33136/stma2024.01.009 https://doi.org/10.1007/978-1-349-02790-3 https://doi.org/10.1007/s12567-025-00691-y https://doi.org/10.4028/www.scientific.net/AMM.229-231.2112
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spelling oai:ojs2.journal-itm.dp.ua:article-1692026-07-13T20:30:24Z FEATURES OF THE MATHEMATICAL SIMULATION OF DYNAMIC PROCESSES IN THE RECONFIGURABLE PROPELLANT FEED HYDRAULIC SYSTEM OF LIQUID-PROPELLANT ROCKET ENGINES ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ CHERNIAVSKYI, O. S. DOLGOPOLOV, S. I. SHEVCHENKO, S. A. liquid-propellant rocket engine, reconfigurable feed system, branched hydraulic circuit, mathematical simulation, impedance method, frequency response. рідинний ракетний двигун, система живлення змінної структури, розгалужений гідравлічний тракт, математичне моделювання, імпедансний метод, частотна характеристика. DOI: https://doi.org/10.15407/itm2026.01.023 Hydraulic pipeline systems in liquid-propellant rocket engines (LPREs) are numerous and diverse. In staged-combustion LPREs, use is made of reconfigurable hydraulic systems, in which the propellant component flow directions change during an engine start-up. A reliable engine start-up requires a smooth transition from the start-up propellant supply to the main propellant supply. The objective of this study is to develop an approach to the mathematical simulation of dynamic processes in a branched reconfigurable hydraulic feed system. A methodological framework for modeling dynamic processes in such systems is proposed. It involves determining the frequency responses of several configurations of a hydraulic system realized at different stages of its operation as a distributed-parameter system. The next step is the construction of a lumped-parameter mathematical model with fluid motion and continuity equations in lumped parameters. Lumped compliances are typically introduced in the hydraulic network model at pipeline junctions. Their number and values are selected so that the frequency responses of the distributed- and lumped-parameter models for each hydraulic system configuration may be in agreement within a prescribed accuracy. To demonstrate the proposed approach, a test reconfigurable hydraulic system is considered. Two configurations of the hydraulic system are set off: from the start-up tank to the gas generator and from the pump outlet to the gas generator. For both configurations, frequency responses of the corresponding distributed-parameter systems are determined. A lumped-parameter mathematical model of dynamic processes in the hydraulic system under analysis is developed. The values of the lumped compliances at the network nodes are identified such that the frequency responses of the distributed- and lumped-parameter models are in satisfactory agreement. It is shown that the values of the lumped compliances remain practically unchanged for different hydraulic system configurations, boundary conditions, or propellant mixture ratios in the gas generator. REFERENCES 1. Thorley A. R. D. Fluid Transients in Pipeline Systems. London: City University, 2004. 304 pp. 2. Su H., Sheng L., Zhao Sh., Lu Ch., Zhu R., Chen Y., Fu Q. Water hammer characteristics and component fatigue analysis of the essential service water system in nuclear power plants. Processes. 2023. V. 11. Iss. 12. 3305.https://doi.org/10.3390/pr11123305 3. Quan L., Gao J., Guo C., Fu C. Analysis of water hammer and pipeline vibration characteristics of submarine local hydraulic system. J. Mar. Sci. Eng. 2023. V.11, Iss.10. 1885.https://doi.org/10.3390/jmse11101885 4. Pylypenko O. V., Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Mathematical modeling of the transient processes in propulsion system of the upper stage of the Cyclone-4M launch vehicle. Science and Innovation 2024. V. 20. No.1. Pp. 49-67. 5. Das D., Padmanabhan P. Study of pressure surge during priming phase of start transient in an initially unprimed pump-fed liquid rocket engine. Propulsion and Power Research. 2022. V. 11. No. 3. Pp. 353-375.https://doi.org/10.1016/j.jppr.2022.07.003 6. Das D., Waghmare Sh., Padmanabhan P., Kumaresan V., Sudhakar D. P. Control of opening duration in a pneumatically operated valve with two-fluid combination and quadratic damping. Journal of Engineering and Applied Science. 2023. V. 70. 41.https://doi.org/10.1186/s44147-023-00207-7 7. Cherniavskyi O. S., Dolgopolov S. I., Shevchenko S. A. Modeling of a check valve operation in the reconfigurable hydraulic feed system of a liquid rocket engine. Teh. Meh. 2025. No. 4. Pp. 19-30.https://doi.org/10.15407/itm2025.04.019 8. Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Dynamic interaction between clustered liquid propellant rocket engines under their asynchronous start-ups. Propuls. Power Res. 2021. V. 10. Iss. 4. Pp. 347-359.https://doi.org/10.1016/j.jppr.2021.12.001 9. Li H., Guo Y., Xu K., Yan X. Simulation of characteristics of staged combustion cycle rocket engine and control valve based on AMESim/Simulink. Journal of Aerospace Power. 2024. V. 39. Iss. 1. 8 pp. https://doi.org/10.13224/j.cnki.jasp.20210401 (In Chinese). 10. Su Q., Wang J., Yan M., Sun Z., Huang W., Zha B. Dynamic characteristics of LOX/Kerosene variable thrust liquid rocket engine test system based on general modular simulation method. International Journal of Aerospace Engineering. 2022. 14 pp. https://doi.org/10.1155/2022/2171471https://doi.org/10.1155/2022/2171471 11. Huang P., Yu H., Wang T. A study using optimized LSSVR for real-time fault detection of liquid rocket engine. Processes. 2022. V.10. Iss. 8. 1643.https://doi.org/10.3390/pr10081643 12. Dong L., Nie W., Li G. Modeling, simulation and experimental study of squeeze engine system. Journal of Physics: Conference Series. 2022. V. 2288. 012003.https://doi.org/10.1088/1742-6596/2228/1/012003 13. Naderi M., Karimi H., Guozhu L. Modeling the effect of reusability on the performance of an existing LPRE. Acta Astronautica. 2021. V. 181. Iss. 4. Pp. 201-216.https://doi.org/10.1016/j.actaastro.2020.12.001 14. Pérez-Roca S., Marzat J., Piet-Lahanier H., Langlois N., Galeotta M., Farago F., Le Gonidec S. Model-based robust transient control of reusable liquid-propellant rocket engines. IEEE Transactions on Aerospace and Electronic Systems. 2021. V. 57. Iss.1. Pp. 129-144.https://doi.org/10.1109/TAES.2020.3010668 15. Degtyarev A. V., Shulga V. A., Zhivotov A. I., Dibrivny A. V. The development of lox-kerosene liquid rocket engines family for perspective launch vehicles of Yuzhnoye SDO based on proven technologies. Aerospace Technic and Technology. 2013. No. 1. Pp. 44-50. (In Russian). 16. Prokopchuk А. А., Shulga V. А. The advanced liquid rocket engine line of SDO "Yuzhnoye" for the creation of new families of launch vehicles. Kosm Nauka Technol. 2015. V. 21, No. 5. Pp. 28-35. (In Russian).https://doi.org/10.15407/knit2015.05.028 17. Prokopchuk O. O., Shulga V. A. New and advanced liquid rocket engines of the Yuzhnoye SDO. Kosm. Teh. Raket. Vooruž. 2024. No 1 (121). Pp. 9-18. ( in Ukrainian).https://doi.org/10.33136/stma2024.01.009 18. Pylypenko V. V., Zadontsev V. A., Natanzon M. S. Cavitation Oscillations and Dynamics of Hydraulic Systems. Moscow: Mashinostroyeniye, 1977. 352 p. (In Russian). 19. Fox J. A. Hydraulic Analysis of Unsteady Flow in Pipe. London: Red Globe Press, 1977. 216 pp.https://doi.org/10.1007/978-1-349-02790-3 20. Pylypenko O., Dolgopolov S., Nikolayev O., Khoriak N., Kvasha Yu., Bashliy I. Determination of the thrust spread in the Cyclone-4M first stage multi-engine propulsion system during its start. Science and Innovation. 2022. V. 18. No. 6. Pp. 97-112. 21. Dolgopolov S., Cherniavskyi O., Shevchenko S. Mathematical modeling of dynamic processes in the branched reconfigurable fuel feed system of a liquid‑propellant rocket engine. CEAS Space Journal. 2025. 14 pp. https://doi.org/10.1007/s12567-025-00691-y 22. Shevyakov A. A., Kalnin V. M., Naumenkova M. V., Dyatlov V. G. Theory of Automatic Control of Rocket Engines. Moscow: Mashinostroyeniye, 1978. 288 pp. (in Russian). 23. Belyaev E. N., Chervakov V. V. Mathematical Modeling of LPRE. Moscow: MAI-PRINT Publ., 2009. 280 рp. (In Russian). 24. Yan Z., Peng X., Cheng Y., Wu J. Modeling and simulation of system dynamics for spacecraft propulsion system. Applied Mechanics and Materials. 2012. Vs. 229-231. Pp. 2112-2116.https://doi.org/10.4028/www.scientific.net/AMM.229-231.2112 25. Altshul A. D. Hydraulic Resistances. Moscow: Nedra, 1970. 216 pp. (In Russian). DOI: https://doi.org/10.15407/itm2026.01.023 Гідравлічні трубопровідні системи в рідинних ракетних двигунах (РРД) є численними та різноманітними. У РРД з допалюванням генераторного газу відомі гідравлічні системи змінної структури, у яких під час запуску двигуна змінюється напрямок потоків компонентів палива. Для надійного запуску РРД необхідно забезпечити плавний перехід від живлення пусковим пальним до живлення основним пальним. Метою цієї роботи є розробка підходу до математичного моделювання динамічних процесів у розгалуженій гідравлічній системі живлення зі змінною структурою. Розроблено методичний підхід до математичного моделювання динамічних процесів у розгалуженій гідравлічній системі зі змінною структурою. Він передбачає визначення частотних характеристик кількох конфігурацій гідравлічної системи, які реалізуються на різних етапах її роботи, як системи з розподіленими параметрами. Надалі складається математична модель із зосередженими параметрами, що містить рівняння руху та нерозривності рідини у зосереджених параметрах. Зосереджені податливості розміщуються у розрахунковій гідравлічній схемі зазвичай у місцях розгалуження трубопроводів. Їхню кількість і значення задають таким чином, щоб частотні характеристики систем з розподіленими та зосередженими параметрами кожної конфігурації гідравлічної системи змінної структури узгоджувалися з заданою точністю. Для демонстрації запропонованого підходу розглянуто тестову гідравлічну систему змінної структури. Виділено дві конфігурації гідравлічної системи: від пускового бачка до газогенератора та від виходу з насоса до газогенератора, для яких визначено частотні характеристики для систем з розподіленими параметрами. Побудовано математичну модель динамічних процесів у аналізованій гідравлічній системі із зосередженими параметрами. Визначено значення зосереджених податливостей у вузлах, що дозволяють задовільно узгодити частотні характеристики з розподіленими та зосередженими параметрами. Встановлено, що значення зосереджених податливостей практично не змінюються за різних конфігурацій гідравлічної системи, граничних умов та співвідношень компонентів палива в газогенераторі. ПОСИЛАННЯ 1. Thorley A. R. D. Fluid Transients in Pipeline Systems. London: City University. 2004. 304 p. 2. Su H., Sheng L., Zhao Sh., Lu Ch., Zhu R., Chen Y., Fu Q. Water Hammer Characteristics and Component Fatigue Analysis of the Essential Service Water System in Nuclear Power Plants. Processes 11. 2023. 14 p. https://doi.org/10.3390/pr11123305 3. Quan L., Gao J., Guo C., Fu C. Analysis of water hammer and pipeline vibration characteristics of submarine local hydraulic system. J. Mar. Sci. Eng. 2023. 11. 1885. https://doi.org/10.3390/jmse11101885 4. Pylypenko O. V., Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Mathematical modeling of the transient processes in propulsion system of the upper stage of the Cyclone-4M launch vehicle. Science and Innovation. 2024. 20(1). P. 49–67. 5. Das D., Padmanabhan P. Study of pressure surge during priming phase of start transient in an initially unprimed pump-fed liquid rocket engine. Propulsion and Power Research. 2022. 11(3). P. 353–375. https://doi.org/10.1016/j.jppr.2022.07.003 6. Das D., Waghmare Sh., Padmanabhan P., Kumaresan V., Sudhakar D. P. Control of opening duration in a pneumatically operated valve with two-fuid combination and quadratic damping. Journal of Engineering and Applied Science. 2023. Р. 20. https://doi.org/10.1186/s44147-023-00207-7 7. Cherniavskyi O. S., Dolgopolov S. I., Shevchenko S. A. Modeling of a check valve operation in the reconfigurable hydraulic feed system of a liquid rocket engine. Tech. Mech. 2025. № 4. P. 19–30. https://doi.org/10.15407/itm2025.04.019 8. Dolgopolov S. I., Nikolayev O. D., Khoriak N. V. Dynamic interaction between clustered liquid propellant rocket engines under their asynchronous start-ups. Propuls. Power Res. 2021. 10(4), P. 347–359. https://doi.org/10.1016/j.jppr.2021.12.001 9. Li H., Guo Y., Xu K., Yan X. Simulation of characteristics of staged combustion cycle rocket engine and control valve based on AMESim/Simulink. Journal of Aerospace Power. 2024. 39(1), 8 р. https://doi.org/10.13224/j.cnki.jasp.20210401 (in Chinese) 10. Su Q., Wang J., Yan M., Sun Z., Huang W., Zha B. Dynamic characteristics of LOX/Kerosene variable thrust liquid rocket engine test system based on general modular simulation method International. Journal of Aerospace Engineering. 2022. 14 p. https://doi.org/10.1155/2022/2171471 11. Huang P., Yu H., Wang T. A Study Using Optimized LSSVR for Real-Time Fault Detection of Liquid Rocket Engine. 2022. Processes 10. P. 16. https://doi.org/10.3390/pr10081643 12. Dong L., Nie W., Li G. Modeling, simulation and experimental study of squeeze engine system. Journal of Physics: Conference Series. 2022. P. 8. https://doi:10.1088/1742-6596/2228/1/012003 13. Naderi M., Karimi H., Guozhu L. Modeling the effect of reusability on the performance of an existing LPRE. Acta Astronautica. 2021. 181(4), P. 201–216. https://doi.org/10.1016/j.actaastro.2020.12.001 14. Pérez-Roca S., Marzat J., Piet-Lahanier H., Langlois N., Galeotta M., Farago F., Le Gonidec S. Model-based robust transient control of reusable liquid-propellant rocket engines. IEEE Transactions on Aerospace and Electronic Systems. 2021. 57(1), P. 129–144. https://doi.org/10.1109/TAES.2020.3010668 15. Degtyarev A. V., Shulga V. A., Zhivotov A. I., Dibrivny A. V. The development of lox-kerosene liquid rocket engines family for perspective launch vehicles of Yuzhnoye SDO based on proven technologies. Aerospace Technic and Technology. 2013. No 1. P. 44–50. (In Russian). 16. Prokopchuk А. А., Shulga V. А. The advanced liquid rocket engine line of SDO “Yuzhnoye” for the creation of new families of launch vehicles. Space Science and Technology. 2015. 21(5), P. 28–35. (In Russian). https://doi.org/10.15407/knit2015.05.028 17. Prokopchuk O. O., Shulga V. A. New and advanced liquid rocket engines of the Yuzhnoye SDO. Kosm. teh. Raket. vooruž. 2024. No 1 (121). P. 9–18. ( in Ukrainian) https://doi.org/10.33136/stma2024.01.009 18. Pylypenko V. V., Zadontsev V. A., Natanzon M. S. Cavitation Oscillations and Dynamics of Hydraulic Systems. Mechanical Engineering. Moscow: Mashinostroenie. 1977. 352 p. (In Russian). 19. Fox J. A. Hydraulic Analysis of Unsteady Flow in Pipe. London: Red Globe Press. 1977. 216 p. https://doi.org/10.1007/978-1-349-02790-3 20. Pylypenko O., Dolgopolov S., Nikolayev O., Khoriak N., Kvasha Yu., Bashliy I. Determination of the thrust spread in the Cyclone-4M first stage multi-engine propulsion system during its start. Science and Innovation. 2022. Vol. 18, № 6. P. 97–112. 21. Dolgopolov S., Cherniavskyi O., Shevchenko S. Mathematical modeling of dynamic processes in the branched reconfigurable fuel feed system of a liquid‑propellant rocket engine. CEAS Space Journal. 2025. P. 14. https://doi.org/10.1007/s12567-025-00691-y 22. Shevyakov A. A., Kalnin V. M., Naumenkova M. V., Dyatlov V. G. Theory of automatic control of rocket engines. Moscow: Mashinostroenie. 1978. 288 p. (in Russian). 23. Belyaev E. N., Chervakov V. V. Mathematical Modeling of LPRE. Moscow: MAI-PRINT Publ. 2009. 280 р. (in Russian). 24. Yan Z., Peng X., Cheng Y., Wu J. Modeling and simulation of system dynamics for spacecraft propulsion system. Applied Mechanics and Materials. 2012. Vols 229-231. Pp. 2112–2116. https://doi.org/10.4028/www.scientific.net/AMM.229-231.2112 25. Altshul, A. D. Hydraulic Resistances. M: Nedra, 1970. 216 p. (in Russian). текст 3 2026-03-31 Article Article application/pdf https://journal-itm.dp.ua/ojs/index.php/ITM_j1/article/view/169 Technical Mechanics; No. 1 (2026): Technical Mechanics; 23-33 Институт технической механики Национальной академии наук Украины и Государственного космического агентства Украины; № 1 (2026): Technical Mechanics; 23-33 ТЕХНІЧНА МЕХАНІКА; № 1 (2026): ТЕХНІЧНА МЕХАНІКА; 23-33 en https://journal-itm.dp.ua/ojs/index.php/ITM_j1/article/view/169/71 Copyright (c) 2026 Technical Mechanics
spellingShingle рідинний ракетний двигун
система живлення змінної структури
розгалужений гідравлічний тракт
математичне моделювання
імпедансний метод
частотна характеристика.
CHERNIAVSKYI, O. S.
DOLGOPOLOV, S. I.
SHEVCHENKO, S. A.
ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ
title ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ
title_alt FEATURES OF THE MATHEMATICAL SIMULATION OF DYNAMIC PROCESSES IN THE RECONFIGURABLE PROPELLANT FEED HYDRAULIC SYSTEM OF LIQUID-PROPELLANT ROCKET ENGINES
title_full ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ
title_fullStr ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ
title_full_unstemmed ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ
title_short ОДНОШАРОВИЙ АЛГОРИТМ МАРШОВОГО РОЗРАХУНКУ НАДЗВУКОВОГО ОБТІКАННЯ РАКЕТ З РОЗБИТТЯМ РОЗРАХУНКОВОЇ ОБЛАСТІ НА ДЕКІЛЬКА ПІДОБЛАСТЕЙ
title_sort одношаровий алгоритм маршового розрахунку надзвукового обтікання ракет з розбиттям розрахункової області на декілька підобластей
topic рідинний ракетний двигун
система живлення змінної структури
розгалужений гідравлічний тракт
математичне моделювання
імпедансний метод
частотна характеристика.
topic_facet liquid-propellant rocket engine
reconfigurable feed system
branched hydraulic circuit
mathematical simulation
impedance method
frequency response.
рідинний ракетний двигун
система живлення змінної структури
розгалужений гідравлічний тракт
математичне моделювання
імпедансний метод
частотна характеристика.
url https://journal-itm.dp.ua/ojs/index.php/ITM_j1/article/view/169
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