Model Uncertainties in Foundation Design
|Author/Editor||Tang, Chong (NUS Singapore, Dept of Civi (Author)|
|Phoon, Kok-Kwang (NUS Singapore, Dept of (Author)|
|Dimensions (mm)||234(h) * 156(w)|
Geotechnical design codes worldwide are increasingly being directed to reliability-based design, for which the characterization of model uncertainty is a critical element. This practical book is based on a global load test database which provides information on the foundation, site or soil investigation, and load test results.
Availability: Available to order but dispatch within 7-10 days
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock).
All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration.
Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding - a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.