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Safety Monitoring of High Arch Dams in Initial Operation Period Using Vector Error Correction Model.

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Title: Safety Monitoring of High Arch Dams in Initial Operation Period Using Vector Error Correction Model.
Authors: Liang, Guohe1, Hu, Yu1, Li, Qingbin1 qingbinli@mail.tsinghua.edu.cn
Source: Rock Mechanics & Rock Engineering. Aug2018, Vol. 51 Issue 8, p2469-2481. 13p.
Subjects: Arch dams, Dam safety, Vector error-correction models, Deformations (Mechanics), Principal components analysis, Time series analysis
Abstract: Conventional statistical models for dam safety monitoring often require long-term, continuous and stationary monitoring time series, which are difficult to fulfill in the initial operation period of the dams. In this study, special attention was given to the nonstationarity and lack of monitoring time series, and a vector error correction model was proposed for the safety monitoring of arch dams in their initial operation period. Principal component analysis was used in the data preprocessing stage to extract uncorrelated representative temperature trends of the dam body from hundreds of multisensor temperature records to reduce variable dimensions. Then, the vector error correction model was proposed, to take into account the cointegration between the structural responses and the environmental variables. The model was further extended in order to take into account the autocorrelation and cross-correlation among multiple structural responses. The established model performed better in terms of fitting and prediction accuracy compared with existing models and provided better forecast even when limited observations were available. The proposed method was successfully implemented to analyze the deformation of the Xiluodu arch dam in southwest China. [ABSTRACT FROM AUTHOR]
Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Safety Monitoring of High Arch Dams in Initial Operation Period Using Vector Error Correction Model.
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  Data: <searchLink fieldCode="AR" term="%22Liang%2C+Guohe%22">Liang, Guohe</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hu%2C+Yu%22">Hu, Yu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Qingbin%22">Li, Qingbin</searchLink><relatesTo>1</relatesTo><i> qingbinli@mail.tsinghua.edu.cn</i>
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  Data: <searchLink fieldCode="DE" term="%22Arch+dams%22">Arch dams</searchLink><br /><searchLink fieldCode="DE" term="%22Dam+safety%22">Dam safety</searchLink><br /><searchLink fieldCode="DE" term="%22Vector+error-correction+models%22">Vector error-correction models</searchLink><br /><searchLink fieldCode="DE" term="%22Deformations+%28Mechanics%29%22">Deformations (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Principal+components+analysis%22">Principal components analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink>
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  Data: Conventional statistical models for dam safety monitoring often require long-term, continuous and stationary monitoring time series, which are difficult to fulfill in the initial operation period of the dams. In this study, special attention was given to the nonstationarity and lack of monitoring time series, and a vector error correction model was proposed for the safety monitoring of arch dams in their initial operation period. Principal component analysis was used in the data preprocessing stage to extract uncorrelated representative temperature trends of the dam body from hundreds of multisensor temperature records to reduce variable dimensions. Then, the vector error correction model was proposed, to take into account the cointegration between the structural responses and the environmental variables. The model was further extended in order to take into account the autocorrelation and cross-correlation among multiple structural responses. The established model performed better in terms of fitting and prediction accuracy compared with existing models and provided better forecast even when limited observations were available. The proposed method was successfully implemented to analyze the deformation of the Xiluodu arch dam in southwest China. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00603-017-1287-y
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 2469
    Subjects:
      – SubjectFull: Arch dams
        Type: general
      – SubjectFull: Dam safety
        Type: general
      – SubjectFull: Vector error-correction models
        Type: general
      – SubjectFull: Deformations (Mechanics)
        Type: general
      – SubjectFull: Principal components analysis
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      – SubjectFull: Time series analysis
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      – TitleFull: Safety Monitoring of High Arch Dams in Initial Operation Period Using Vector Error Correction Model.
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            – D: 01
              M: 08
              Text: Aug2018
              Type: published
              Y: 2018
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