Databases for Data-Centric Geotechnics

Auteur

Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and Provost at the Singapore University of Technology and Design. He was awarded the ASCE Norman Medal twice in 2005 and 2020, and the Humboldt Research Award in 2017. He is the Founding Editor of Georisk, a Board Member of ISSMGE, and Fellow of the Academy of Engineering Singapore.

Chong Tang is a Professor at Dalian University of Technology in China and former senior research fellow at the National University of Singapore. He was awarded the ASCE Norman Medal in 2020.

Résumé
This is the second of a definitive guide to databases in geotechnical and rock engineering to enhance decision-making in geotechnical practice using data-driven methods. This volume presents databases on the performance of shallow, spudcan, and deep foundations; anchors and pipelines; retaining systems and excavations; and landslides.

Contenu

1. Role of performance information in data-centric geotechnics. 2. Variability of predictions for punch-through of foundation in layered soils. 3. Development and use of LCPC pile database. 4. Development and use of CYCU pile load test database. 5. Pile load test database for Southern Africa and evaluation of direct SPT-based pile design methods. 6. Relevant databased pile design approach. 7. Piling insights from a data-centric approach. 8. Bored piles in tropical soils and rocks - a database approach to design. 9. Development and use of databases of pile foundation load tests in Japan. 10. The DINGO database of axial pile load tests for the UK: determination of ultimate load. 11. Development and use of tensile loading test databases for analysis and design of helical piles. 12. Experimental database and data-driven design method of dynamically installed anchors. 13. Pipes and anchors. 14. Mechanically stabilized earth (MSE) walls. 15. Statistical evaluation and calibration of model uncertainty for reliability-based design of soil nail walls. 16. Statistical analyses on a database of deep excavations in Shanghai soft clays. 17. Probabilistic methods for slope failure time prediction.