Homogenizing spatially variable Young modulus using pseudo incremental energy method

Tabarroki, Mohammad; Ching, Jianye; Lin, Chia-pei; Liou, Jin-Jia; Phoon, Kok‐Kwang

doi:10.1016/j.strusafe.2022.102226

Cited by 8 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To reproduce the spatial correlation of the soil property, another method is developed named random field method. According to the random field theory, researchers investigate a variety of geotechnical issues such as the bearing capacity of footings (Griffiths et al, 2006;Tabarroki et al, 2022aTabarroki et al, , 2022b, the stability of the slopes (Li et al, 2015;Huang and Leung, 2021), the basal-heave failure in braced excavation (Luo et al, 2012), the face stability of tunnels (Pan and Dias, 2017;Cheng et al, 2019a) and the ground movement induced by tunnelling (Cheng et al, 2019b).…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of ground movement in tunnelling in spatially variable soil using equivalent parameters

Yang

Liu²,

Zheng³

et al. 2022

Front. Earth Sci.

View full text Add to dashboard Cite

The evaluation of the ground movement induced by tunnelling is of vital importance for the tunnel construction and the safety of the adjacent facilities. As the spatial variability of soil was widely acknowledged, more and more researches take insight into the uncertainty analysis for tunnelling. However, reliability analysis considering the spatial variability of soil is still a tough task since the accurate failure probability generally needs time-consuming calculation of random finite element/difference. Instead of conducting the direct Monte-Carlo simulation, this study utilizes a simplified framework to analyze the reliability of the ground movement of tunnelling. The main concept of this framework is adopting random variable model with equivalent parameters by producing the comparable failure probability as the results of random field model. Coupling with the variance reduction technique, the reliability analysis of tunnel ground movement considering more than one spatial variable can be addressed. Two tunnel cases are studied to explain the adaptability and accuracy of this simplified framework in tunnelling. The characteristic of the spatially variable soil is thoroughly comprehended through various parametric study, based on the robustness of the simplified framework. Results show that the simplified framework precisely predicts the tunnel reliability considering spatially variability of soil in a relatively efficient manner.

show abstract