Modified dam deformation monitoring model considering periodic component contained in residual sequence

Structural Control and Health MonitoringVolume 27, Issue 12 e2633 RESEARCH ARTICLE Modified dam deformation monitoring model considering periodic component contained in residual sequence Dongyang Yuan, Corresponding Author Dongyang Yuan yuandongyangcn@gmail.com yuandongyang@hhu.edu.cn orcid.org/0000-0002-3784-3963 State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098 China College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210098 China School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 China Correspondence Dongyang Yuan, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China. Email: yuandongyangcn@gmail.com; yuandongyang@hhu.edu.cnSearch for more papers by this authorBowen Wei, Bowen Wei orcid.org/0000-0001-9866-0303 School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 ChinaSearch for more papers by this authorBin Xie, Bin Xie School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 ChinaSearch for more papers by this authorZimeng Zhong, Zimeng Zhong School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 ChinaSearch for more papers by this author Dongyang Yuan, Corresponding Author Dongyang Yuan yuandongyangcn@gmail.com yuandongyang@hhu.edu.cn orcid.org/0000-0002-3784-3963 State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098 China College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210098 China School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 China Correspondence Dongyang Yuan, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China. Email: yuandongyangcn@gmail.com; yuandongyang@hhu.edu.cnSearch for more papers by this authorBowen Wei, Bowen Wei orcid.org/0000-0001-9866-0303 School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 ChinaSearch for more papers by this authorBin Xie, Bin Xie School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 ChinaSearch for more papers by this authorZimeng Zhong, Zimeng Zhong School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031 ChinaSearch for more papers by this author First published: 24 September 2020 https://doi.org/10.1002/stc.2633Citations: 1Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary Considering that dam deformation and its influencing factors present complex nonlinearities, a modified deformation monitoring model is proposed in this study. On the basis of the systematic analysis of the effects of environmental influencing factors on dam deformation, this study attempts to explore the functional relation between dam deformation and sediment deposition based on the theory of classical dam deformation monitoring model, and the theory of dam deformation monitoring is developed. Meanwhile, considering that the residual sequence of monitoring model contains certain periodic components, singular spectrum analysis is adopted to denoise and to reconstruct residual by extracting the trend and periodic components, and then the reconstructed residual sequence is trained and forecasted by autoregressive integrated moving average model. By superimposing the residual forecast value with forecast value of classical statistical model, a modified deformation monitoring modeling method is established. Examples show that, compared with conventional models, the forecast capacity of the proposed method is improved to a large extent, which effectively corroborates the rationality and effectiveness of the modeling method. A new technical support for guaranteeing the safe operation of dams is provided. Citing Literature Volume27, Issue12December 2020e2633 RelatedInformation