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Uncertainty, Modeling, and Decision Making in Geotechnics (Challenges in Geotechnical and Rock Engineering)

By: Jianye Ching (Edited by) , Kok-Kwang Phoon (Edited by) , Takayuki Shuku (Edited by)

1 in stock

Ksh 37,700.00

Format: Hardback or Cased Book

ISBN-10: 1032367490

ISBN-13: 9781032367491

Collection / Series: Challenges in Geotechnical and Rock Engineering

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 11th, 2023

Publication Status: Active

Product extent: 502 Pages

Weight: 1094.00 grams

Dimensions (height x width x thickness): 18.50 x 26.00 x 3.30 cms

Product Classification / Subject(s): Geology & the lithosphere
Soil & rock mechanics

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This reference guide from an international team of experts shows how uncertainty quantification and numerical modeling can complement each other to enhance decision making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.

Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.

The book 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. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples.

Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of experts offers an excellent resource for state-of-the-practice uncertainty-informed geotechnical design for specialist practitioners and the research community.


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