Bayesian ensemble methods for predicting ground deformation due to tunnelling with sparse monitoring data-Reference-Cited by-同舟云学术

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Bayesian ensemble methods for predicting ground deformation due to tunnelling with sparse monitoring data

Published:2024-06 Issue: Volume:16 Page:79-93
ISSN:2467-9674
Container-title:Underground Space
language:en
Short-container-title:Underground Space

Author:

Zhang Zilong,Zhang Tingting,Li Xiaozhou,Dias Daniel

Funder

China Scholarship Council

Fundamental Research Funds for Central Universities of the Central South University

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Reference51 articles.

1. A new adaptive importance sampling scheme for reliability calculations;Au;Structural safety,1999

2. Analytical solutions for shallow tunnels in saturated ground;Bobet;Journal of Engineering Mechanics,2001

3. Reliability-based design in rock engineering: Application of Bayesian regression methods to rock strength data;Bozorgzadeh;Journal of Rock Mechanics and Geotechnical Engineering,2019

4. Urban underground space: Solving the problems of today’s cities;Broere;Tunnelling and Underground Space Technology,2016

5. Bayesian model comparison and characterization of undrained shear strength;Cao;Journal of Geotechnical and Geoenvironmental Engineering,2014

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