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An Efficient Probabilistic Back-Analysis Method for Braced Excavations

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Practice of Bayesian Probability Theory in Geotechnical Engineering

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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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Author information

Authors and Affiliations

  1. State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering, University of Macau, Macau, China

    Wan-Huan Zhou

  2. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China

    Zhen-Yu Yin

  3. State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering, University of Macau, Macau, China

    Ka-Veng Yuen

Authors
  1. Wan-Huan Zhou
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  2. Zhen-Yu Yin
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  3. Ka-Veng Yuen
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Zhou, WH., Yin, ZY., Yuen, KV. (2021). An Efficient Probabilistic Back-Analysis Method for Braced Excavations . In: Practice of Bayesian Probability Theory in Geotechnical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-9105-1_10

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

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9104-4

  • Online ISBN: 978-981-15-9105-1

  • eBook Packages: EngineeringEngineering (R0)

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