Risk Identification and Assessment during the Excavation of the Deep Foundation Pit | Zendy

Guowang Meng | Zendy; Xiang Li | Zendy; Hao Liu | Zendy; Bo Wu | Zendy; Yi Liu | Zendy; Wei Huang | Zendy; Yong Wang | Zendy; Shixiang Xu | Zendy

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Risk Identification and Assessment during the Excavation of the Deep Foundation Pit

Author(s) -

Guowang Meng,

Xiang Li,

Hao Liu,

Bo Wu,

Yi Liu,

Wei Huang,

Yong Wang,

Shixiang Xu

Publication year - 2021

Publication title -

advances in materials science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.356

H-Index - 42

eISSN - 1687-8442

pISSN - 1687-8434

DOI - 10.1155/2021/4291356

Subject(s) - foundation (evidence) , excavation , risk assessment , fuzzy logic , identification (biology) , risk management , civil engineering , entropy (arrow of time) , computer science , risk analysis (engineering) , engineering , geotechnical engineering , artificial intelligence , business , computer security , history , botany , physics , archaeology , quantum mechanics , biology , finance

This study presents a new model for identifying and evaluating high-risk factors in foundation pit excavation. The model combines the fuzzy decision-making trial and the evaluation laboratory (FDEMATEL), the entropy weight method, and the multiattributive border approximation area comparison (MABAC) method. Firstly, the risk factors such as geology, surrounding environment, monitoring, construction, and management are studied in detail. Secondly, the subjective weight is calculated by the fuzzy DEMATEL method, and the objective weight is calculated by the entropy weight method. Then, the MABAC method is introduced to identify the key risk factors of the foundation pit and the risk level of foundation pit construction. Finally, Jinan Rail Transit R2 Line Kaiyuan Road Station is used as a case study for analysis based on the risk assessment model. The results show that the model can identify key risk factors in different construction stages of foundation pits, which can provide guidance for risk management decision-making.

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