1st Edition
Databases for Data-Centric Geotechnics Geotechnical Structures
Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods. This second volume pertains to geotechnical structures. The opening chapter presents a substantial survey of performance databases and the effectiveness of our prediction models in matching the field measurements in these databases, based on (1) full-scale field tests, (2) 39 prediction exercises organized as a part of international conferences, and (3) comparison between numerical analyses and in-situ or field measurements conducted by the French LCPC. The focus is on the evaluation of the statistical degree of confidence in predicting various of quantities of interest such as capacity and deformation. The following 18 chapters then present databases on the performance of shallow foundations, spudcan foundations, deep foundations, anchors and pipelines, retaining systems and excavations, and landslides. The databases were compiled from studies undertaken in many countries such as Australia, Belgium, Bolivia, Brazil, Canada, China, Egypt, France, Germany, Hungary, Iran, Ireland, Japan, Kenya, Malaysia, Netherlands, Norway, Poland, Portugal, South Africa, UK and USA.
This volume on geotechnical structures is a companion to the volume on site characterization. Databases for Data-Centric Geotechnics represents the most diverse and comprehensive assembly of database research in a single publication (consisting of two volumes) to date. It follows from Model Uncertainties for Foundation Design, also published by CRC Press, and suits specialist geotechnical engineers, researchers and graduate students.
1. Role of performance information in data-centric geotechnics
Kok-Kwang Phoon and Chong Tang
2. Variability of predictions for punch-through of foundation in layered soils
Chong Tang, Jun Yuan, Xiaoxuan Yu, Xiaowei Feng and Kok-Kwang Phoon
3. Development and use of LCPC pile database
Sébastien Burlon and Roger Frank
4. Development and use of CYCU pile load test database
Yit-Jin Chen, Anjerick Topacio, Suneelkumar Laveti, Mary Abigail Cacho Jos and Ming-Hsueh Hsiao
5. Pile load test database for southern Africa and evaluation of direct SPT-based pile design methods
Mahongo Dithinde and Hesbon Moriasi Okari
6. Relevant databased pile design approach
Abolfazl Eslami and S. Heidarie Golafzani
7. Driven cast-in-situ piles: new insights from a data-centric approach
Bryan McCabe and Kevin Flynn
8. Bored piles in tropical soils and rocks – a database approach to design
Y. H. Ong, C. T. Toh and S. K. Chee
9. Development and use of databases of pile foundation load tests in Japan
Yu Otake, Tomoka Nakamura, Tomohiro Fujita and Hideaki Nishida
10. The DINGO database of axial pile load tests for the UK: determination of ultimate load
Manar M. Othman, Elia Voyagaki, Jamie J. Crispin, Konstantina Ntassiou, Charlotte Gilder, Flavia De Luca, George Mylonakis and Paul J. Vardanega
11. Development and use of tensile loading test databases for analysis and design of helical piles
Cristina de Hollanda Cavalcanti Tsuha, Caio César de Sousa Oliveira, Bruno Oliveira da Silva, João M. S. M. Santos Filho, José Antonio Schiavon and Chong Tang
12. Experimental database and data-driven design method of dynamically installed anchors
Yong Fu, Kailin Ding and Congcong Han
13. Pipes and anchors
Shadi Najjar, Salah Sadek, Sahar Ismail and Rim Chahbaz
14. Mechanically stabilized earth walls
Richard J. Bathurst and Yoshihisa Miyata
15. Statistical evaluation and calibration of model uncertainty for reliability-based design of soil nail walls
Peiyuan Lin
16. Statistical analyses on a database of deep excavations in Shanghai soft clay
Yong Tan and Xiaozhen Fan
17. Probabilistic methods for slope failure time prediction
Jie Zhang, Hong-zeng Yao, Zi-peng Wang and Meng Dai
Biography
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 in 2020, and the Humboldt Research Award in 2017. He is the Founding Editor of Georisk and 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.
