Model Uncertainties in Foundation Design

Model Uncertainties in Foundation Design is unique in its compilation of large and diverse load test databases, covering various foundation types and ground conditions. It presents a comprehensive evaluation of model factor mean and coefficient of variation for ultimate and serviceability limit state, providing valuable statistics for AASHTO LRFD calibration. Additionally, performance databases for other geo-structures and their model factor statistics are included, and a practical three-tier scheme for classifying model uncertainty is proposed.

Format: Paperback / softback
Length: 588 pages
Publication date: 30 September 2022
Publisher: Taylor & Francis Ltd

Model Uncertainties in Foundation Design stands out as a remarkable achievement in the compilation of the largest and most diverse load test databases to date, encompassing a wide array of foundation types such as shallow foundations, spudcans, driven piles, drilled shafts, rock sockets, and helical piles, along with a diverse range of ground conditions spanning from soil to soft rock. To facilitate access to these invaluable datasets, all databases with names prefixed by NUS are readily available upon request.

In this comprehensive volume, the authors present a thorough evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state, derived from these extensive databases. These statistics hold significant value for AASHTO LRFD calibration purposes. Furthermore, the book extends its coverage to include performance databases for other geo-structures, presenting model factor statistics that can be utilized for calibration.

Through a comprehensive literature survey, the authors propose a practical three-tier scheme for classifying the model uncertainty of geo-structures based on the model factor mean and COV. This empirically grounded scheme provides a solid foundation for calibrating resistance factors, a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the upcoming draft of Eurocode 7 Part 1 (EN 1997-1:202x).

Chapter 7, specifically dedicated to helical pile research, earned recognition by being awarded the 2020 ASCE Norman Medal. This recognition highlights the significant contributions made by the authors in this field.

In summary, Model Uncertainties in Foundation Design serves as a valuable resource for engineers, researchers, and practitioners involved in foundation design and analysis. By compiling extensive load test and performance databases, along with proposing a practical classification scheme for model uncertainty, this book contributes to advancing the understanding and application of geotechnical engineering principles.

Weight: 880g
Dimension: 154 x 233 x 38 (mm)
ISBN-13: 9780367683955