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Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Volume 17, 2023 - Issue 1: Machine learning and AI in Geotechnics
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Articles

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

3 December 2021, Norwegian Geotechnical Institute, Oslo, Norway (Online)

Kok-Kwang Phoona Information Systems Technology and Design/Architecture and Sustainable Design, Singapore University of Technology and Design, Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0003-2577-8639
ORCID Icon,
Zi-Jun Caob State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of Engineering Risk and Disaster Prevention, Wuhan University, Wuhan, People’s Republic of ChinaCorrespondence[email protected]
,
Zhongqiang Liuc Norwegian Geotechnical Institute, Oslo, NorwayORCID Iconhttps://orcid.org/0000-0002-1693-5746
ORCID Icon &
Jianye Chingd Department of Civil Engineering, National Taiwan University, Taipei, TaiwanORCID Iconhttps://orcid.org/0000-0001-6028-1674
ORCID Icon
Pages 227-238 | Received 24 Jan 2022, Accepted 20 Jul 2022, Published online: 01 Aug 2022

References

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  • Depina, I., S. Jain, S. Mar Valsson, and H. Gotovac. 2022. “Application of Physics-informed Neural Networks to Inverse Problems in Unsaturated Groundwater Flow.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16 (1): 21–36.
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  • 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.
  • 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.
  • Phoon, K. K., Z. J. Cao, and Y. Wang. 2019. “ISSMGE TC304/309/210 Machine Learning Dialogue for Geotechnics 2019.” Proceedings, 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019), Taipei, Taiwan, December 11–13, 905–911. https://www.issmge.org/uploads/publications/96/97/IS18-1.pdf.
  • Phoon, K. K., and J. Ching. 2021. “Project DeepGeo – Data-driven 3D Subsurface Mapping.” Journal of GeoEngineering 16 (2): 47–59.
  • Phoon, K. K., J. Ching, and Z. J. Cao. 2022. “Unpacking Data-centric Geotechnics.” Underground Space 7 (4): 483–497. doi:10.1016/j.undsp.2021.11.002.
  • Phoon, K. K., J. Ching, and T. Shuku. 2022. “Challenges in Data-driven Site Characterization.” Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards 16 (1): 114–126.
  • Phoon, K. K., J. Ching, and Y. Wang. 2019. “Managing Risk in Geotechnical Engineering – from Data to Digitalization.” Proceedings, 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019), Taipei, Taiwan, 13–34. http://rpsonline.com.sg/proceedings/isgsr2019/pdf/SL.pdf.
  • Phoon, K. K., T. Shuku, J. Ching, and I. Ikumasa. 2022. “Benchmark Examples for Data-driven Site Characterization.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, in press. doi:10.1080/17499518.2022.2025541.
  • Phoon, K. K., and W. Zhang. 2022. “Future of machine learning in geotechnics.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. Advance online publication. doi:10.1080/17499518.2022.2087884.

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