Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”

Author:

Phoon Kok-Kwang1ORCID,Cao Zi-Jun2,Liu Zhongqiang3ORCID,Ching Jianye4ORCID

Affiliation:

1. Information Systems Technology and Design/Architecture and Sustainable Design, Singapore University of Technology and Design, Singapore, Singapore

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. Norwegian Geotechnical Institute, Oslo, Norway

4. Department of Civil Engineering, National Taiwan University, Taipei, Taiwan

Publisher

Informa UK Limited

Subject

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

Reference12 articles.

1. Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data

2. Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow

3. Digital Twin: Enabling Technologies, Challenges and Open Research

4. Institution of Civil Engineers. 2017. “State of the Nation Report: Digital Transformation.” https://www.ice.org.uk/getattachment/news-and-insight/policy/state-of-the-nation-2017-digital-transformation/ICE-SoN-Report-Web-Updated.pdf.aspx.

5. Institution of Civil Engineers. 2018. “Blockchain technology in the construction industry.” https://myice.ice.org.uk/ICEDevelopmentWebPortal/media/Documents/News/Blog/Blockchain-technology-in-Construction-2018-12-17.pdf.

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