Benchmarking Data-Driven Site Characterization-Reference-Cited by-同舟云学术

Benchmarking Data-Driven Site Characterization

Published:2023-06 Issue:2 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:

Phoon Kok-Kwang¹^ORCID,Shuku Takayuki²^ORCID,Ching Jianye³^ORCID,Yoshida Ikumasa⁴^ORCID

Affiliation:

1. Professor, Information Systems Technology and Design/Architecture and Sustainable Design, Singapore Univ. of Technology and Design, Singapore 487372 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Environmental Management, Okayama Univ., Kita-ku, Okayama 700-8530, Japan. ORCID: .

3. Professor, Dept. of Civil Engineering, National Taiwan Univ., Taipei 10617, Taiwan. ORCID: .

4. Professor, Dept. of Urban and Civil Engineering, Tokyo City Univ., Setagaya-ku, Tokyo 158-8557, Japan. ORCID: .

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.RUENG-1058

Reference20 articles.

1. ASCE. 2019. Future world vision: Infrastructure reimagined. Reston, VA: ASCE.

2. Data-Drive Site Characterization for Benchmark Examples: Sparse Bayesian Learning versus Gaussian Process Regression

3. Comparison of trend models for geotechnical spatial variability: Sparse Bayesian learning vs. Gaussian process regression;Ching J.;Gondwana Res.,2023

4. Bayesian Framework for Assessing Effectiveness of Geotechnical Site Investigation Programs

5. Jaksa M. 1995. “The influence of spatial variability on the geotechnical design properties of a stiff overconsolidated clay.” Ph.D. dissertation Dept. of Civil and Environmental Engineering Univ. of Adelaide.

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