Quantification of statistical uncertainties of unconfined compressive strength of rock using Bayesian learning method-Reference-Cited by-同舟云学术

Quantification of statistical uncertainties of unconfined compressive strength of rock using Bayesian learning method

Published:2021-07-27 Issue: Volume: Page:1-16
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:

Han Liang¹,Wang Lin¹,Zhang Wengang²¹³,Chen Zhixiong¹

Affiliation:

1. School of Civil Engineering, Chongqing University, Chongqing, People’s Republic of China

2. Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing, People’s Republic of China

3. National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas, Chongqing University, Chongqing, People’s Republic of China

Funder

National Natural Science Foundation of China

Program of Distinguished Young Scholars, Natural Science Foundation of Chongqing, China

Chongqing Construction Science and Technology Plan Project

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/10.1080/17499518.2021.1952612

Reference53 articles.

1. Probabilistic characterisation of uniaxial compressive strength of rock using test results from multiple types of punch tests

2. Evaluation of rock property variability

3. Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

4. Hierarchical Bayesian modelling of geotechnical data: application to rock strength

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