Indexed by:
Abstract:
The accurate prediction of ground surface settlement remains a crucial undertaking in shield tunnelling, particularly for tunnels with super large diameters. Instead of employing conventional deterministic analysis, this study employed 3D random finite element method (RFEM) to probabilistically investigate the longitudinal ground surface settlement induced by super large diameter shield tunneling. Through large quantities of numerical simulations, a new modified Logistic function with parameters of maximum ground settlement Smax, settlement upon face arrival S0, and settlement speed during face passage v was proposed to represent the longitudinal ground surface settlement curves. The probabilistic distribution of longitudinal ground settlement was transformed into a multivariate Gaussian distribution of Smax, S0, and v. A randomness transfer coefficient η was innovatively proposed to evaluate the effects of randomness transferred from modulus random field to the ground settlements. It was found that the mean values of Smax, S0, and v were rarely affected by random field statistics. The randomness transferring coefficient η was determined by the vertical and horizontal scales of fluctuation (δv and δh). The correlation coefficients between Smax, S0, and v were only sensitive to δh. © 2025 Elsevier Ltd
Keyword:
Reprint 's Address:
Email:
Source :
Computers and Geotechnics
ISSN: 0266-352X
Year: 2025
Volume: 181
5 . 3 0 0
JCR@2023
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 0
Affiliated Colleges: