Cover Image

Prediction of residual strength of pipeline elements with detected corrosion defects based on Monte-Carlo method

Saved in:

Bibliographic Details
Date:	2019
Main Authors:	A. S. Milenin, E. A. Velikoivanenko, G. F. Rozynka, N. I. Pivtorak
Format:	Article
Language:	English
Published:	2019
Series:	Technical diagnostics and non-destructive testing
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001177896
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Numerical methodology of prediction of the reliability and residual life of welded pipeline elements with corrosion-erosion defects
by: O. S. Milenin, et al.
Published: (2020)

Probabilistic estimate of the condition of pipeline elements with detected thinning defects
by: E. A. Velikoivanenko, et al.
Published: (2014)

Methodology of numerical prediction of serviceability of pipeline elements with corrosion-erosion defects under conditions of high-temperature operation
by: A. S. Milenin, et al.
Published: (2017)

Numerical prediction of effectiveness of reinforcement of defective pipelines by composite material bands
by: E. A. Velikoivanenko, et al.
Published: (2016)

High-performance methods for analyzing the statistical strength of welded pipelines and pressure vessels using the Monte–Carlo method
by: E. A. Velikoivanenko, et al.
Published: (2020)

Simulation of processes of initiation and propagation of subcritical damage of metal in welded pipeline elements at low-cycle loading
by: E. A. Velikoivanenko, et al.
Published: (2016)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
by: Biblik, Irina V., et al.
Published: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
by: Biblik, Irina V., et al.
Published: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
by: I. V. Biblik, et al.
Published: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
by: Biblik, I.V., et al.
Published: (2018)

A Monte Carlo study of contraband detection using fast neutron resonance technique
by: Jinhyoung Bae, et al.
Published: (2004)

Procedure of ranging corrosion defects of the main gas pipelines found at in-pipe diagnostics
by: V. I. Makhnenko, et al.
Published: (2009)

Numerical assessment of brittle strength of field welds of the main gas pipelines at transportation of gas-hydrogen mixtures
by: O. S. Milenin, et al.
Published: (2023)

On the optimization of approximate integration by Monte Carlo methods
by: Babenko, V. F., et al.
Published: (1997)

Evaluation of serviceability of main pipeline with a local thinning of wall in arc surfacing repair
by: E. A. Velikoivanenko, et al.
Published: (2015)

Geometry-dependent residual life of a pipeline with corrosion damage
by: P. S. Jukhimets
Published: (2010)

Monte Carlo simulation of nitrogen crystalline atomic phase
by: Yakub, L.N.
Published: (1996)

Residual strength of the above-ground section of the main pipeline with circumferential cracks
by: A. R. Dziubyk, et al.
Published: (2018)

Large scale Monte Carlo simulations of fluids under gravity
by: A. Brandt, et al.
Published: (2015)

Large scale Monte Carlo simulations of fluids under gravity
by: A. Brandt, et al.
Published: (2015)

Monte Carlo method study of instability of nanowires on contacts of joints
by: N. A. Pasichnyj, et al.
Published: (2014)

Analysis of conditions of initiation and propagation of corrosion cracks in the zone of circumferential joints of main gas pipelines
by: V. I. Makhnenko, et al.
Published: (2009)

Prediction of residual pipeline resource taking into account the operation loading conditions
by: Banahevych, Yu.V., et al.
Published: (2009)

Using the Monte Carlo method for calculating the error of the measurement system
by: Ye. I. Baida, et al.
Published: (2024)

Monte-carlo modeling for unstable particle ensembles with thermal fluctuations
by: Kharchenko, D.O.
Published: (2009)

Monte-Carlo simulation of random hyperbranched polymers with flexible branches
by: Ratner, M.
Published: (2009)

Monte Carlo and molecular dynamics studies for the colour rewritable films
by: Okajima, H., et al.
Published: (2001)

Monte Carlo simulation of phase equilibria in Ising fluids and their mixtures
by: Fenz, W., et al.
Published: (2003)

Monte Carlo simulations of the critical properties of the restricted primitive model
by: Caillol, J.-M.
Published: (2004)

Monte-Carlo simulation of response of semiconductor detectors for radionuclide identification devices
by: Skrypnyk, A.I., et al.
Published: (2015)

Estimation of the efficiency of composite bands for restoration of strength of defective regions in pipelines
by: E. F. Garf, et al.
Published: (2011)

Numerical analysis of the features of limiting state of welded pipeline elements under ultra-low-cycle loading
by: O. V. Makhnenko, et al.
Published: (2021)

Mutual influence of defects in welded joint zone at different force loading
by: V. I. Makhnenko, et al.
Published: (2012)

Solution of the First-Passage Problem by Advanced Monte Carlo Simulation Technique
by: Labou, M.
Published: (2003)

A Monte Carlo study of the Falicov–Kimball model in the perturbative regime
by: Musiał, G., et al.
Published: (2007)

Monte Carlo simulation of migration of fusion plasma neutrons - optimization and traps
by: Robouch, B.V., et al.
Published: (2002)

Permissible pressure for filler of sealed sleeves used to repair main pipelines
by: V. I. Makhnenko, et al.
Published: (2011)

Monte Carlo code Serpent calculation of the parameters of the stationary nuclear fission wave
by: V. M. Khotiaintsev, et al.
Published: (2017)

Monte Carlo simulation of anisotropic Shastry–Sutherland lattice in the framework of classical Heisenberg model
by: V. V. Slavin, et al.
Published: (2011)

Monte Carlo simulation of anisotropic Shastry–Sutherland lattice in the framework of classical Heisenberg model
by: Slavin, V.V., et al.
Published: (2011)