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Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits

[Image: see text] Urban rail transportation and underground space development and utilization are initiatives to solve urban traffic congestion. The monitoring and prediction of the stability of underground enclosure piles in foundation pits is a key index for the dynamic evaluation of the stability...

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Autores principales: Dong, Yue, Luan, Yuanzhong, Wang, Fei, Yang, Huilong, Jia, Zheng, Luan, Hengxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323960/
https://www.ncbi.nlm.nih.gov/pubmed/37426226
http://dx.doi.org/10.1021/acsomega.2c00582
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author Dong, Yue
Luan, Yuanzhong
Wang, Fei
Yang, Huilong
Jia, Zheng
Luan, Hengxuan
author_facet Dong, Yue
Luan, Yuanzhong
Wang, Fei
Yang, Huilong
Jia, Zheng
Luan, Hengxuan
author_sort Dong, Yue
collection PubMed
description [Image: see text] Urban rail transportation and underground space development and utilization are initiatives to solve urban traffic congestion. The monitoring and prediction of the stability of underground enclosure piles in foundation pits is a key index for the dynamic evaluation of the stability of underground space engineering. In this paper, we focused on the problem that the dynamic prediction accuracy and stability of foundation pit retaining piles in the Qingdao area are not high. Based on the analysis of various time function curves and the physical meaning of the parameters, we proposed the Adjusted-Logistic time function model, which introduces three physical parameters to adjust the deformation velocity and deformation acceleration in different stages for better accuracy. It could predict the deformation process of underground enclosure piles under different geological engineering conditions. It was verified in the field that the root-mean-square error (RMSE) of the Adjusted-Logistic function was 0.5316, MAE was 0.3752, and R(2) was 0.9937, which were better than those of Gompertz, Weibull, and Knothe time function models. Meanwhile, it showed that with the increase of excavation depth, the maximum horizontal displacement of the underground enclosure piles gradually decreased and finally stabilized at 0.62–0.71 H. We established a catastrophe model of the horizontal displacement cusp at the observation point of the underground enclosure piles by using the time series of the measured data. It could determine the weak location of the underground enclosure pile stability and realize the multipoint warning of the foundation pit stability, which would ensure safe construction.
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spelling pubmed-103239602023-07-07 Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits Dong, Yue Luan, Yuanzhong Wang, Fei Yang, Huilong Jia, Zheng Luan, Hengxuan ACS Omega [Image: see text] Urban rail transportation and underground space development and utilization are initiatives to solve urban traffic congestion. The monitoring and prediction of the stability of underground enclosure piles in foundation pits is a key index for the dynamic evaluation of the stability of underground space engineering. In this paper, we focused on the problem that the dynamic prediction accuracy and stability of foundation pit retaining piles in the Qingdao area are not high. Based on the analysis of various time function curves and the physical meaning of the parameters, we proposed the Adjusted-Logistic time function model, which introduces three physical parameters to adjust the deformation velocity and deformation acceleration in different stages for better accuracy. It could predict the deformation process of underground enclosure piles under different geological engineering conditions. It was verified in the field that the root-mean-square error (RMSE) of the Adjusted-Logistic function was 0.5316, MAE was 0.3752, and R(2) was 0.9937, which were better than those of Gompertz, Weibull, and Knothe time function models. Meanwhile, it showed that with the increase of excavation depth, the maximum horizontal displacement of the underground enclosure piles gradually decreased and finally stabilized at 0.62–0.71 H. We established a catastrophe model of the horizontal displacement cusp at the observation point of the underground enclosure piles by using the time series of the measured data. It could determine the weak location of the underground enclosure pile stability and realize the multipoint warning of the foundation pit stability, which would ensure safe construction. American Chemical Society 2023-06-21 /pmc/articles/PMC10323960/ /pubmed/37426226 http://dx.doi.org/10.1021/acsomega.2c00582 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Dong, Yue
Luan, Yuanzhong
Wang, Fei
Yang, Huilong
Jia, Zheng
Luan, Hengxuan
Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits
title Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits
title_full Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits
title_fullStr Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits
title_full_unstemmed Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits
title_short Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits
title_sort monitoring and prediction of horizontal displacement of underground enclosure piles in subway foundation pits
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323960/
https://www.ncbi.nlm.nih.gov/pubmed/37426226
http://dx.doi.org/10.1021/acsomega.2c00582
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