9780367864132-0367864134-Reliability-Based Design in Geotechnical Engineering: Computations and Applications

Reliability-Based Design in Geotechnical Engineering: Computations and Applications

ISBN-13: 9780367864132
ISBN-10: 0367864134
Edition: 1
Author: Kok-Kwang Phoon
Publication date: 2019
Publisher: CRC Press
Format: Paperback 532 pages
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Book details

ISBN-13: 9780367864132
ISBN-10: 0367864134
Edition: 1
Author: Kok-Kwang Phoon
Publication date: 2019
Publisher: CRC Press
Format: Paperback 532 pages

Summary

Reliability-Based Design in Geotechnical Engineering: Computations and Applications (ISBN-13: 9780367864132 and ISBN-10: 0367864134), written by authors Kok-Kwang Phoon, was published by CRC Press in 2019. With an overall rating of 4.5 stars, it's a notable title among other Civil & Environmental (Engineering) books. You can easily purchase or rent Reliability-Based Design in Geotechnical Engineering: Computations and Applications (Paperback) from BooksRun, along with many other new and used Civil & Environmental books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Reliability-based design is the only engineering methodology currently available which can ensure self-consistency in both physical and probabilistic terms. It is also uniquely compatible with the theoretical basis underlying other disciplines such as structural design. It is especially relevant as geotechnical design becomes subject to increasing codification and to code harmonization across national boundaries and material types. Already some codes of practice describe the principles and requirements for safety, serviceability, and durability of structures in reliability terms.
This book presents practical computational methods in concrete steps that can be followed by practitioners and students. It also provides geotechnical examples illustrating reliability analysis and design. It aims to encourage geotechnical engineers to apply reliability-based design in a realistic context that recognises the complex variabilities in geomaterials and model uncertainties arising from a profession steeped in empiricism. By focusing on learning through computations and examples, this book serves as a valuable reference for engineers and a resource for students.

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