Uncertainty Modeling and Decision Making in Geotechnics Book [PDF] Download

Download the fantastic book titled Uncertainty Modeling and Decision Making in Geotechnics written by Kok-Kwang Phoon, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Uncertainty Modeling and Decision Making in Geotechnics", which was released on 11 December 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Uncertainty Modeling and Decision Making in Geotechnics by Kok-Kwang Phoon PDF

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.


Detail About Uncertainty Modeling and Decision Making in Geotechnics PDF

  • Author : Kok-Kwang Phoon
  • Publisher : CRC Press
  • Genre : Technology & Engineering
  • Total Pages : 521 pages
  • ISBN : 1003801250
  • PDF File Size : 21,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Uncertainty, Modeling, and Decision Making in Geotechnics

Uncertainty, Modeling, and Decision Making in Geotechnics
  • Publisher : CRC Press
  • File Size : 33,9 Mb
  • Release Date : 11 December 2023
GET BOOK

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

Uncertainty, Modelling, and Decision Making in Geotechnics

Uncertainty, Modelling, and Decision Making in Geotechnics
  • Publisher : Unknown Publisher
  • File Size : 51,7 Mb
  • Release Date : 20 May 2024
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"This book 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

Uncertainty, Modeling, and Decision Making in Geotechnics

Uncertainty, Modeling, and Decision Making in Geotechnics
  • Publisher : Unknown Publisher
  • File Size : 52,6 Mb
  • Release Date : 20 May 2024
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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

Uncertainty Modeling and Analysis in Civil Engineering

Uncertainty Modeling and Analysis in Civil Engineering
  • Publisher : CRC Press
  • File Size : 50,5 Mb
  • Release Date : 29 December 1997
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With the expansion of new technologies, materials, and the design of complex systems, the expectations of society upon engineers are becoming larger than ever. Engineers make critical decisions with potentially

Analyzing Uncertainty in Civil Engineering

Analyzing Uncertainty in Civil Engineering
  • Publisher : Springer Science & Business Media
  • File Size : 40,7 Mb
  • Release Date : 19 December 2005
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This volume addresses the issue of uncertainty in civil engineering from design to construction. Failures do occur in practice. Attributing them to a residual system risk or a faulty execution

Reliability and Statistics in Geotechnical Engineering

Reliability and Statistics in Geotechnical Engineering
  • Publisher : John Wiley & Sons
  • File Size : 28,8 Mb
  • Release Date : 19 August 2005
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Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to

Model Uncertainties in Foundation Design

Model Uncertainties in Foundation Design
  • Publisher : CRC Press
  • File Size : 25,6 Mb
  • Release Date : 16 March 2021
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Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven

Geotechnical Modelling

Geotechnical Modelling
  • Publisher : CRC Press
  • File Size : 52,6 Mb
  • Release Date : 21 December 2017
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Modelling forms an implicit part of all engineering design but many engineers engage in modelling without consciously considering the nature, validity and consequences of the supporting assumptions. Derived from courses

Risk and Reliability in Geotechnical Engineering

Risk and Reliability in Geotechnical Engineering
  • Publisher : CRC Press
  • File Size : 38,6 Mb
  • Release Date : 09 October 2018
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Establishes Geotechnical Reliability as Fundamentally Distinct from Structural Reliability Reliability-based design is relatively well established in structural design. Its use is less mature in geotechnical design, but there is a

Probabilistic Methods in Geotechnical Engineering

Probabilistic Methods in Geotechnical Engineering
  • Publisher : Springer Science & Business Media
  • File Size : 37,7 Mb
  • Release Date : 14 December 2007
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Learn to use probabilistic techniques to solve problems in geotechnical engineering. The book reviews the statistical theories needed to develop the methodologies and interpret the results. Next, the authors explore