A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating-Reference-Cited by-同舟云学术

A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating

Published:2021-12-01 Issue: Volume: Page:1-20
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Jiang Shui-Hua¹²,Wang Lei¹,Ouyang Su¹,Huang Jinsong¹³^ORCID,Liu Yuan¹

Affiliation:

1. School of Civil Engineering and Architecture, Nanchang University, Nanchang, People’s Republic of China

2. State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of Engineering Risk and Disaster Prevention, Wuhan University, Wuhan, People’s Republic of China

3. Discipline of Civil, Surveying and Environmental Engineering, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW, Australia

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation

Opening Fund of State Key Laboratory of Water Resources and Hydropower Engineering Science

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2021.2010098

Reference51 articles.

1. Estimation of small failure probabilities in high dimensions by subset simulation

2. Bayesian inference with Subset Simulation: Strategies and improvements

3. Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization

4. Geotechnical system reliability of slopes

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