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Problem of Uncertainties in Geotechnical Engineering Read chapter Read first chapter

2021 | OriginalPaper | Chapter

10. An Efficient Probabilistic Back-Analysis Method for Braced Excavations

Authors : Wan-Huan Zhou, Zhen-Yu Yin, Ka-Veng Yuen

Published in: Practice of Bayesian Probability Theory in Geotechnical Engineering

Publisher: Springer Singapore

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Abstract

In this chapter, we present an efficient Bayesian back-analysis procedure for braced excavations using wall deflection data at multiple points. A response surface method is adopted to efficiently evaluate the wall response. Deflection data for 49 wall sections from 11 case histories are collected to characterize the model error of the finite element method for evaluating the deflections at various points. A braced excavation project in Hangzhou, China is chosen to illustrate the effectiveness of the proposed procedure. The results indicate that the soil parameters could be updated more significantly for the updating that uses the deflection data at multiple points than that only uses the maximum deflection data. The predicted deflections from the updated parameters agree fairly well with the field observations. The main significance of the proposed procedure is that it improves the updating efficiency of the soil parameters without adding monitoring effort compared with the traditional method that uses the maximum deflection data.

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previous chapter Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement
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Metadata
Title
An Efficient Probabilistic Back-Analysis Method for Braced Excavations
Authors
Wan-Huan Zhou
Zhen-Yu Yin
Ka-Veng Yuen
Copyright Year
2021
Publisher
Springer Singapore
Book
Practice of Bayesian Probability Theory in Geotechnical Engineering

Print ISBN: 978-981-15-9104-4

Electronic ISBN: 978-981-15-9105-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9105-1_10