Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation

For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. Th...

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Main Authors: Fan Xuefeng, Zhenyu Wu, Liu Lijun, Yanfeng Wen, Shu Yu, Zhao Zepeng, Zefa Li
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2019/2850916
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author Fan Xuefeng
Zhenyu Wu
Liu Lijun
Yanfeng Wen
Shu Yu
Zhao Zepeng
Zefa Li
author_facet Fan Xuefeng
Zhenyu Wu
Liu Lijun
Yanfeng Wen
Shu Yu
Zhao Zepeng
Zefa Li
author_sort Fan Xuefeng
collection DOAJ
description For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. The seepage field in the whole foundation can be analyzed by numerical simulation. The permeability coefficients of the foundation materials significantly affect the numerical simulation results; however, it is difficult to accurately determine the values of permeability coefficients. In this paper, an approach based on response surface method (RSM) for calibration of permeability coefficients was proposed, and the efficiency of parameter calibration is improved by constructing the response surface equation instead of time-consuming finite element calculation of foundation seepage. The seepage in a sluice foundation was analyzed using monitoring data and numerical simulation. The monitoring data showed that the seepage pressure in the foundation periodically varies with high value in flood season and low value in dry season. After calibration of the permeability coefficients of the foundation materials using the measured seepage pressure, the seepage fields in the foundation for different water levels were numerically simulated to investigate the cause for the periodical variation of the seepage pressure and the seepage safety of the foundation was assessed with the calculated seepage gradients. The methods adopted in this study could be applied to seepage analysis for sluice foundations with similar geologic conditions and antiseepage measures.
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spelling doaj-art-8c95d389ec3c4e23aee5a7fd525dc2ba2025-08-20T02:09:33ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/28509162850916Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical SimulationFan Xuefeng0Zhenyu Wu1Liu Lijun2Yanfeng Wen3Shu Yu4Zhao Zepeng5Zefa Li6Kunming Engineering Corporation Limited, Power China, Kunming 650000, ChinaCollege of Hydraulic and Hydroelectric Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaCollege of Hydraulic and Hydroelectric Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100048, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100048, ChinaCollege of Hydraulic and Hydroelectric Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaCollege of Hydraulic and Hydroelectric Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, ChinaFor sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. The seepage field in the whole foundation can be analyzed by numerical simulation. The permeability coefficients of the foundation materials significantly affect the numerical simulation results; however, it is difficult to accurately determine the values of permeability coefficients. In this paper, an approach based on response surface method (RSM) for calibration of permeability coefficients was proposed, and the efficiency of parameter calibration is improved by constructing the response surface equation instead of time-consuming finite element calculation of foundation seepage. The seepage in a sluice foundation was analyzed using monitoring data and numerical simulation. The monitoring data showed that the seepage pressure in the foundation periodically varies with high value in flood season and low value in dry season. After calibration of the permeability coefficients of the foundation materials using the measured seepage pressure, the seepage fields in the foundation for different water levels were numerically simulated to investigate the cause for the periodical variation of the seepage pressure and the seepage safety of the foundation was assessed with the calculated seepage gradients. The methods adopted in this study could be applied to seepage analysis for sluice foundations with similar geologic conditions and antiseepage measures.http://dx.doi.org/10.1155/2019/2850916
spellingShingle Fan Xuefeng
Zhenyu Wu
Liu Lijun
Yanfeng Wen
Shu Yu
Zhao Zepeng
Zefa Li
Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation
Advances in Civil Engineering
title Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation
title_full Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation
title_fullStr Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation
title_full_unstemmed Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation
title_short Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation
title_sort analysis of sluice foundation seepage using monitoring data and numerical simulation
url http://dx.doi.org/10.1155/2019/2850916
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