Bayesian Framework for Assessing Effectiveness of Geotechnical Site Investigation Programs-Reference-Cited by-同舟云学术

Bayesian Framework for Assessing Effectiveness of Geotechnical Site Investigation Programs

Published:2023-03 Issue:1 Volume:9 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Hu Jin-zheng¹^ORCID,Zheng Jian-guo²,Zhang Jie³^ORCID,Huang Hong-wei⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Geotechnical Engineering and Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China. ORCID: .

2. Chief Engineer, Shaanxi Key Laboratory for Property and Treatment of Special Rock and Soil, China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd., 51 Xianning Middle Rd., Xi’an, Shaanxi 710043, China.

3. Professor, Dept. of Geotechnical Engineering and Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China (corresponding author). ORCID: .

4. Professor, Dept. of Geotechnical Engineering and Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001278

Reference42 articles.

1. Ang, A. H., and W. H. Tang. 1984. Probability concepts in engineering planning and design, decision, risk, and reliability. New York: Wiley.

2. Reliability analysis of the bearing capacity of a shallow foundation resting on cohesive soil

3. Introduction to Probability

4. Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values

5. Reliability-Based Design Optimization under Mixed Aleatory/Epistemic Uncertainties: Theory and Applications

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