Use of time series models to forecast the evolution of corrosion pit in steel rebars

This paper presents the time series method to forecast the evolution of pitting depth in corroded reinforcing steel bars. Basic time series analysis models are introduced, and the method for establishing the autoregressive integrated moving average (ARIMA) model is described through an example. Base...

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Veröffentlicht in:Functional Materials
Datum:2016
ISSN:1027-5495
1. Verfasser: Xu Yidong
Format: Artikel
Sprache:Englisch
Veröffentlicht: НТК «Інститут монокристалів» НАН України 2016
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Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/121415
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Zitieren:Use of time series models to forecast the evolution of corrosion pit in steel rebars / Xu Yidong // Functional Materials. — 2016. — Т. 23, № 3. — С. 457-462. — Бібліогр.: 15 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Xu Yidong
author_facet Xu Yidong
citation_txt Use of time series models to forecast the evolution of corrosion pit in steel rebars / Xu Yidong // Functional Materials. — 2016. — Т. 23, № 3. — С. 457-462. — Бібліогр.: 15 назв. — англ.
collection DSpace DC
container_title Functional Materials
description This paper presents the time series method to forecast the evolution of pitting depth in corroded reinforcing steel bars. Basic time series analysis models are introduced, and the method for establishing the autoregressive integrated moving average (ARIMA) model is described through an example. Based on ARIMA model, the pitting depth in reinforcing steel bars under two different corrosion environments is predicted. The results show that ARIMA model can describe the variation tendency of pitting depth in corroded reinforcing steel bars quantitatively. The predicted values and the observed ones are in good conformity.
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format Article
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
issn 1027-5495
language English
last_indexed 2025-12-07T16:46:54Z
publishDate 2016
publisher НТК «Інститут монокристалів» НАН України
record_format dspace
spelling Xu Yidong
2017-06-14T09:45:29Z
2017-06-14T09:45:29Z
2016
Use of time series models to forecast the evolution of corrosion pit in steel rebars / Xu Yidong // Functional Materials. — 2016. — Т. 23, № 3. — С. 457-462. — Бібліогр.: 15 назв. — англ.
1027-5495
DOI: dx.doi.org/10.15407/fm23.03.457
https://nasplib.isofts.kiev.ua/handle/123456789/121415
This paper presents the time series method to forecast the evolution of pitting depth in corroded reinforcing steel bars. Basic time series analysis models are introduced, and the method for establishing the autoregressive integrated moving average (ARIMA) model is described through an example. Based on ARIMA model, the pitting depth in reinforcing steel bars under two different corrosion environments is predicted. The results show that ARIMA model can describe the variation tendency of pitting depth in corroded reinforcing steel bars quantitatively. The predicted values and the observed ones are in good conformity.
en
НТК «Інститут монокристалів» НАН України
Functional Materials
Modeling and simulation
Use of time series models to forecast the evolution of corrosion pit in steel rebars
Article
published earlier
spellingShingle Use of time series models to forecast the evolution of corrosion pit in steel rebars
Xu Yidong
Modeling and simulation
title Use of time series models to forecast the evolution of corrosion pit in steel rebars
title_full Use of time series models to forecast the evolution of corrosion pit in steel rebars
title_fullStr Use of time series models to forecast the evolution of corrosion pit in steel rebars
title_full_unstemmed Use of time series models to forecast the evolution of corrosion pit in steel rebars
title_short Use of time series models to forecast the evolution of corrosion pit in steel rebars
title_sort use of time series models to forecast the evolution of corrosion pit in steel rebars
topic Modeling and simulation
topic_facet Modeling and simulation
url https://nasplib.isofts.kiev.ua/handle/123456789/121415
work_keys_str_mv AT xuyidong useoftimeseriesmodelstoforecasttheevolutionofcorrosionpitinsteelrebars