Cargando…

Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study

As an important feature, deformation analysis is of great significance to ensure the safety and stability of arch dam operation. In this paper, Jinping-I arch dam with a height of 305 m, which is the highest dam in the world, is taken as the research object. The deformation data representation metho...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Chongshi, Fu, Xiao, Shao, Chenfei, Shi, Zhongwen, Su, Huaizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981373/
https://www.ncbi.nlm.nih.gov/pubmed/31906513
http://dx.doi.org/10.3390/ijerph17010319
_version_ 1783491064947015680
author Gu, Chongshi
Fu, Xiao
Shao, Chenfei
Shi, Zhongwen
Su, Huaizhi
author_facet Gu, Chongshi
Fu, Xiao
Shao, Chenfei
Shi, Zhongwen
Su, Huaizhi
author_sort Gu, Chongshi
collection PubMed
description As an important feature, deformation analysis is of great significance to ensure the safety and stability of arch dam operation. In this paper, Jinping-I arch dam with a height of 305 m, which is the highest dam in the world, is taken as the research object. The deformation data representation method is analyzed, and the processing method of deformation spatiotemporal data is discussed. A deformation hybrid model is established, in which the hydraulic component is calculated by the finite element method, and other components are still calculated by the statistical model method. Since the relationship among the measuring points is not taken into account and the overall situation cannot be fully reflected in the hybrid model, a spatiotemporal hybrid model is proposed. The measured values and coordinates of all the typical points with pendulums of the arch dam are included in one spatiotemporal hybrid model, which is feasible, convenient, and accurate. The model can predict the deformation of any position on the arch dam. This is of great significance for real-time monitoring of deformation and stability of Jinping-I arch dam and ensuring its operation safety.
format Online
Article
Text
id pubmed-6981373
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-69813732020-02-07 Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study Gu, Chongshi Fu, Xiao Shao, Chenfei Shi, Zhongwen Su, Huaizhi Int J Environ Res Public Health Article As an important feature, deformation analysis is of great significance to ensure the safety and stability of arch dam operation. In this paper, Jinping-I arch dam with a height of 305 m, which is the highest dam in the world, is taken as the research object. The deformation data representation method is analyzed, and the processing method of deformation spatiotemporal data is discussed. A deformation hybrid model is established, in which the hydraulic component is calculated by the finite element method, and other components are still calculated by the statistical model method. Since the relationship among the measuring points is not taken into account and the overall situation cannot be fully reflected in the hybrid model, a spatiotemporal hybrid model is proposed. The measured values and coordinates of all the typical points with pendulums of the arch dam are included in one spatiotemporal hybrid model, which is feasible, convenient, and accurate. The model can predict the deformation of any position on the arch dam. This is of great significance for real-time monitoring of deformation and stability of Jinping-I arch dam and ensuring its operation safety. MDPI 2020-01-02 2020-01 /pmc/articles/PMC6981373/ /pubmed/31906513 http://dx.doi.org/10.3390/ijerph17010319 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gu, Chongshi
Fu, Xiao
Shao, Chenfei
Shi, Zhongwen
Su, Huaizhi
Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study
title Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study
title_full Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study
title_fullStr Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study
title_full_unstemmed Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study
title_short Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study
title_sort application of spatiotemporal hybrid model of deformation in safety monitoring of high arch dams: a case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981373/
https://www.ncbi.nlm.nih.gov/pubmed/31906513
http://dx.doi.org/10.3390/ijerph17010319
work_keys_str_mv AT guchongshi applicationofspatiotemporalhybridmodelofdeformationinsafetymonitoringofhigharchdamsacasestudy
AT fuxiao applicationofspatiotemporalhybridmodelofdeformationinsafetymonitoringofhigharchdamsacasestudy
AT shaochenfei applicationofspatiotemporalhybridmodelofdeformationinsafetymonitoringofhigharchdamsacasestudy
AT shizhongwen applicationofspatiotemporalhybridmodelofdeformationinsafetymonitoringofhigharchdamsacasestudy
AT suhuaizhi applicationofspatiotemporalhybridmodelofdeformationinsafetymonitoringofhigharchdamsacasestudy