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Numerical analysis on zone-divided deep excavation in soft clays using a new small strain elasto–plastic constitutive model

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Underground Space 2022年第1期7卷 19-36页

作者： Afnan Younis Tanoli Bin Yan Yong-lin Xiong Guan-lin Ye Usama Khalid Zhong-hua Xu Department of Civil Engineering State Key Laboratory of Ocean Engineering and ShanghaiKey Laboratory for Digital Maintenance of Buildings and InfrastructureShanghai Jiao Tong UniversityShanghai 200240China Institute of Geotechnical Engineering Ningbo UniversityNingbo 315211China Department of Civil Engineering Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan 64200Pakistan East China Architectural Design&Research Institute Shanghai 200002China

Accurate prediction of displacements associated with deep excavations is essential to ensure safety and stability of the excavation and to prevent any damage and distress to the adjoining *** paper presents a numerical approach for prediction of ground displacements related to a zone-divided deep excavation construction executed in Shanghai soft clays based on a new elasto–plastic con-stitutive model(small-strain Shanghai model)that incorporates small strain *** model can describe the mechanical properties and structural and over-consolidated characteristics of natural *** model is implemented into a finite element analysis *** analysis on the deep excavation in Shanghai using zone-divided method is conducted.A comparison between monitored and simulated results of horizontal displacements along the diaphragm wall,the settlements in the surroundings,and the effects on the adjoin-ing metro tunnel due to excavation construction is carried *** attention is paid to the stiffness degradation of representative elements in the *** simulated displacements show a good agreement with the monitored ***,this study provides an integrated solution for predicting displacements related to deep excavation in soft clays.

关键词： Deep excavation Soft clays small strain Elasto-plastic model Ground displacements Metro tunnels

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