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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
1. Verfasser:	Xu Yidong
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	НТК «Інститут монокристалів» НАН України 2016
Schlagworte:	Modeling and simulation
Online Zugang:	https://nasplib.isofts.kiev.ua/handle/123456789/121415
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Digital Library of Periodicals of National Academy of Sciences of Ukraine
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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