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CLC number: TU476+.3

On-line Access: 2011-06-27

Received: 2011-01-20

Revision Accepted: 2011-05-20

Crosschecked: 2011-09-07

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Journal of Zhejiang University SCIENCE A 2011 Vol.12 No.10 P.737-746

http://doi.org/10.1631/jzus.A1100016


Probability-based method using RFEM for predicting wall deflection caused by excavation


Author(s):  Yu-geng Tang

Affiliation(s):  Department of Architecture, Hwa-Hsia Institute of Technology, Taiwan 23568, Taipei

Corresponding email(s):   tang@cc.hwh.edu.tw

Key Words:  Excavation, Random finite element method (RFEM), Uncertainty, Wall deflection


Yu-geng Tang. Probability-based method using RFEM for predicting wall deflection caused by excavation[J]. Journal of Zhejiang University Science A, 2011, 12(10): 737-746.

@article{title="Probability-based method using RFEM for predicting wall deflection caused by excavation",
author="Yu-geng Tang",
journal="Journal of Zhejiang University Science A",
volume="12",
number="10",
pages="737-746",
year="2011",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1100016"
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%T Probability-based method using RFEM for predicting wall deflection caused by excavation
%A Yu-geng Tang
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%D 2011
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1100016

TY - JOUR
T1 - Probability-based method using RFEM for predicting wall deflection caused by excavation
A1 - Yu-geng Tang
J0 - Journal of Zhejiang University Science A
VL - 12
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SP - 737
EP - 746
%@ 1673-565X
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1100016


Abstract: 
This study employs the random finite element method (RFEM) to analyze the wall deflection caused by excavation. The RFEM combined random fields of material properties with the FEM through the Monte Carlo simulation. A well-documented excavation case history is employed to evaluate the influence of uncertainty of analysis parameters. This study shows that RFEM can provide reasonable estimations of the exceedance probability of wall deflection caused by excavation, and has the potential to be a useful tool to account for the uncertainties of material and model parameters in the numerical analysis.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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