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...
Autores principales: | , , , , |
---|---|
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 |