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Reliability-Based Design in Soil and Rock Engineering: Enhancing Partial Factor Design Approaches

Reliability-Based Design in Soil and Rock Engineering: Enhancing Partial Factor Design Approaches

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  • More about Reliability-Based Design in Soil and Rock Engineering: Enhancing Partial Factor Design Approaches

This book provides probabilistic analyses and reliability-based designs (RBDs) for Eurocode 7 (EC7) and load and resistance factor design (LRFD) methods, with an intuitive perspective and efficient computational procedure for the first-order reliability method (FORM). It demonstrates solutions for soil and rock engineering cases, ideal for practitioners, graduate students, and researchers.

Format: Paperback / softback
Length: 383 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd


This comprehensive book delves into probabilistic analyses and reliability-based designs (RBDs) to enhance Eurocode 7 (EC7) and load and resistance factor design (LRFD) methods. It offers an intuitive perspective and efficient computational procedures for the first-order reliability method (FORM), encompassing the Hasofer-Lind reliability index. The book explores the similarities and differences between the design point of EC7/LRFD and RBD-via-FORM, providing valuable insights.

Probability-based designs for soil and rock engineering are showcased, encompassing shallow and deep foundations, earth-retaining structures, soil slopes, 2D rock slopes with discontinuities, 3D rock slopes with wedge mechanisms, and underground rock excavations. Renowned cases in soil and rock engineering are analyzed both deterministically and probabilistically, offering comparisons with other probabilistic methods.

Ideal for practitioners, graduate students, and researchers, this book aims to deepen understanding of geotechnical RBD accounting for uncertainty and overcome limitations and potential pitfalls of evolving LRFD and EC7. Solutions for the book's examples are available online, fostering a hands-on appreciation of the subject matter.

Weight: 739g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367631406

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