Challenges in data-driven site characterization-Reference-Cited by-同舟云学术

Challenges in data-driven site characterization

Published:2021-03-09 Issue: Volume: Page:1-13
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:

Phoon Kok-Kwang¹^ORCID,Ching Jianye²^ORCID,Shuku Takayuki³^ORCID

Affiliation:

1. Dept. of Civil and Environmental Engineering, National Univ. of Singapore, Singapore

2. Dept. of Civil Engineering, National Taiwan University, Taipei, Taiwan

3. Dept. of Environmental Management Engineering, Okayama Univ., Okayama, Japan

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/10.1080/17499518.2021.1896005

Reference49 articles.

1. Bayesian inference for categorical data analysis

2. Bayesian identification of soil stratigraphy based on soil behaviour type index

3. 3D Probabilistic Site Characterization by Sparse Bayesian Learning

4. Chapter 4 Statistical characterization of multivariate geotechnical data

5. Transformations and correlations among some clay parameters — the global database

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