Uncertainty, Modeling, and Decision Making in Geotechnics

Uncertainty, Modeling, and Decision Making in Geotechnics is a book that helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. It provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and illustrates the value of this to decision-making using realistic examples.

Format: Hardback
Length: 502 pages
Publication date: 11 December 2023
Publisher: Taylor & Francis Ltd

Uncertainty, Modeling, and Decision Making in Geotechnics delves into the intricate interplay between uncertainty quantification and numerical modeling, offering a comprehensive approach to enhancing decision-making in the field of geotechnics. By bridging a critical gap in guidance, this book empowers practitioners to effectively address uncertainties head-on, guiding them toward informed and strategic choices.

The book serves as a valuable resource for practitioners seeking to acquire a deep understanding of geotechnical risk and reliability methods. It provides practical guidance on how to employ these methods judiciously alongside data and numerical modeling, enabling them to make well-informed decisions.

In particular, the book offers insightful recommendations on selecting realistic statistics and employing cost-effective and accessible methodologies to meet diverse design objectives, catering to various problem settings. Through illustrative examples, it demonstrates the profound value of incorporating uncertainty into decision-making, fostering a more robust and resilient approach to geotechnical design.

This comprehensive reference guide, compiled by an international team of experts, brings together a diverse range of disciplines, including statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights derived from case studies. It serves as an invaluable resource for specialist practitioners and the research community, providing state-of-the-art uncertainty-informed geotechnical design principles and practices.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032367491