1st Edition

Databases for Data-Centric Geotechnics Two Volume Set

    1056 Pages 305 Color & 222 B/W Illustrations
    by CRC Press

    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.

    The first volume pertains to site characterization. The opening chapter presents a deep analysis of site data attributes, including the establishment of a new taxonomy of site data under “4S” (site generalizations, spatial features, sampling characteristics, and smart data) to provide a novel agenda for data-driven site characterization. Type 3 machine learning methods (disruptive value) are possible as sensors become more pervasive and more intelligent. A comprehensive overview of site characterization information is also presented with a focus on its availability, coverage, value to decision making, and challenges. The following 13 chapters then present databases of soil and rock properties and the application of these databases to rock socket behavior, rock classification, settlement on soft marine clays, permeability of fine-grained soils, and liquefaction among others.

    The 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 including Austria, Australia, Brazil, Canada, China, France, Finland, Germany, India, Iran, Japan, Korea, Malaysia, Mexico, New Zealand, Norway, Singapore, Sweden, Thailand, UK and USA.

    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.

    Volume 1 (Site Characterization)

    1. Role of site characterization information in data-centric geotechnics
    Kok-Kwang Phoon, Jianye Ching and Chong Tang
    2. Selection of rock hydromechanical parameters for rock foundation design: a database approach
    Pouyan Asem and Paolo Gardoni
    3. Evaluation of soil/rock properties using databases
    Jianye Ching
    4. Undrained shear strength of Finnish soft clays: a database perspective
    Marco D’Ignazio and Tim Länsivaara
    5. Role of databases in the evaluation of soil properties
    Abolfazl Eslami and Pin-Qiang Mo
    6. New laboratory database of hydraulic conductivity measurements on fine-grained soils
    Shuyin Feng and Paul Vardanega
    7. Normalised active undrained shear strengths of soft Scandinavian clays – a data-centric and a geomechanical approach
    Sølve Hov, Jean-Sébastien L'Heureux, Katharina Kahrs, Karin Lundström and David Gaharia
    8. Prediction for the mechanical response of gravels
    Jingmao Liu and Degao Zou
    9. Evaluation of compressibility properties for soft marine clay
    Monica S. Löfman and Leena Korkiala-Tanttu
    10. An engineering geological parameter database of tunnel surrounding rock and its application
    Junjie Ma and Tianbin Li
    11. Exploring challenges via analysis of multivariate geotechnical properties: insights from large-scale local sampling of Japanese marine clay
    Yu Otake, Taiga Saito, Stephen Wu, Ikumasa Yoshida and Daiki Takano
    12. In situ test-based evaluation of soil effective stress strength properties and stress history
    Zhongkun Ouyang, Paul W. Mayne and Shehab Agaiby
    13. Mechanical-statistical evaluation of soil properties
    Changhong Wang, Kun Wang and Daofei Tang
    14. Seismic soil liquefaction assessment: approaches, data, and tools
    Chaofeng Wang, Qiushi Chen and Pedro Arduino
    15. Prediction for soil design properties based on a multivariate database for Shanghai soft clay
    Yelu Zhou, Dongming Zhang and Hongwei Huang

     Volume 2 (Geotechnical Structures)

    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


    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.