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MODERN TUNNELLING TECHNOLOGY 2024, Vol. 61 Issue (1) :75-83    DOI:
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Construction Risk Assessment for Reconstruction and Expansion of Long-term Operating Metro Stations Based on DBN Model
(1. BCEG Civil Engineering Co., Ltd., Beijing 100085; 2. School of Civil Engineering, Beijing Jiaotong University, Beijing 100044)
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Abstract In order to ensure construction safety in reconstruction and expansion of long-term operating metro sta? tions in complex environment, the risk assessment and control for reconstruction and expansion of the Dongsi Shitiao Station (DSST) of Beijing Metro have been investigated by using such methods as Bayesian network, fuzzy theory,field survey and laboratory test. As the results indicate: (1) According to the station state evaluation, FEM-DBN prework prediction, risk control contingency plan and the OSM-DBN feedback in the construction period, the proposed construction risk assessment method for reconstruction and expansion of long-term operating metro stations can enable dynamic prediction before construction and dynamic feedback in the construction period; (2) This risk assessment method has been applied to reconstruction and expansion of DSST Station. After the risk control measures pro?posed are implemented, the maximum deformation values of the station structure of the existing Line 2 and Line 3 are -1.28 mm and -1.21 mm, and the structure remains safe and stable; (3) The risk assessment results of FEMDBN and OSM-DBN are consistent with the results of the experts' prediction and assessment, and the risk control measures are rational and reliable.
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LIU Bingke1 WU Rui2 MA Jianfei2 HE Shaohui2 BAI Shouxing1 MIAO Pengbo1
KeywordsLong-term operating metro station   Dynamic Bayesian   Risk assessment   Reconstruction and expansion     
Abstract: In order to ensure construction safety in reconstruction and expansion of long-term operating metro sta? tions in complex environment, the risk assessment and control for reconstruction and expansion of the Dongsi Shitiao Station (DSST) of Beijing Metro have been investigated by using such methods as Bayesian network, fuzzy theory,field survey and laboratory test. As the results indicate: (1) According to the station state evaluation, FEM-DBN prework prediction, risk control contingency plan and the OSM-DBN feedback in the construction period, the proposed construction risk assessment method for reconstruction and expansion of long-term operating metro stations can enable dynamic prediction before construction and dynamic feedback in the construction period; (2) This risk assessment method has been applied to reconstruction and expansion of DSST Station. After the risk control measures pro?posed are implemented, the maximum deformation values of the station structure of the existing Line 2 and Line 3 are -1.28 mm and -1.21 mm, and the structure remains safe and stable; (3) The risk assessment results of FEMDBN and OSM-DBN are consistent with the results of the experts' prediction and assessment, and the risk control measures are rational and reliable.
KeywordsLong-term operating metro station,   Dynamic Bayesian,   Risk assessment,   Reconstruction and expansion     
Cite this article:   
LIU Bingke1 WU Rui2 MA Jianfei2 HE Shaohui2 BAI Shouxing1 MIAO Pengbo1 .Construction Risk Assessment for Reconstruction and Expansion of Long-term Operating Metro Stations Based on DBN Model[J]  MODERN TUNNELLING TECHNOLOGY, 2024,V61(1): 75-83
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http://www.xdsdjs.com/EN/      或     http://www.xdsdjs.com/EN/Y2024/V61/I1/75
 
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