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Uncertainty, Modeling, and Decision Making in Geotechnics

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Release : 2023-12-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 250/5 ( reviews)

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Book Synopsis Uncertainty, Modeling, and Decision Making in Geotechnics by : Kok-Kwang Phoon

Download or read book Uncertainty, Modeling, and Decision Making in Geotechnics written by Kok-Kwang Phoon. This book was released on 2023-12-11. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertainty, Modeling, and Decision Making in Geotechnics

Download Uncertainty, Modeling, and Decision Making in Geotechnics PDF Online Free

Author :
Release : 2023
Genre : Geotechnical engineering
Kind : eBook
Book Rating : 586/5 ( reviews)

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Book Synopsis Uncertainty, Modeling, and Decision Making in Geotechnics by :

Download or read book Uncertainty, Modeling, and Decision Making in Geotechnics written by . This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertainty, Modelling, and Decision Making in Geotechnics

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Author :
Release : 2024
Genre : Geotechnical engineering
Kind : eBook
Book Rating : 507/5 ( reviews)

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Book Synopsis Uncertainty, Modelling, and Decision Making in Geotechnics by : Kok-Kwang Phoon

Download or read book Uncertainty, Modelling, and Decision Making in Geotechnics written by Kok-Kwang Phoon. This book was released on 2024. Available in PDF, EPUB and Kindle. Book excerpt: "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 directly. It 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. 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"--

Uncertainty Modeling and Analysis in Engineering and the Sciences

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Author :
Release : 2006-05-25
Genre : Business & Economics
Kind : eBook
Book Rating : 456/5 ( reviews)

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Book Synopsis Uncertainty Modeling and Analysis in Engineering and the Sciences by : Bilal M. Ayyub

Download or read book Uncertainty Modeling and Analysis in Engineering and the Sciences written by Bilal M. Ayyub. This book was released on 2006-05-25. Available in PDF, EPUB and Kindle. Book excerpt: Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge a

Applied Research in Uncertainty Modeling and Analysis

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Release : 2007-12-29
Genre : Business & Economics
Kind : eBook
Book Rating : 507/5 ( reviews)

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Book Synopsis Applied Research in Uncertainty Modeling and Analysis by : Bilal M. Ayyub

Download or read book Applied Research in Uncertainty Modeling and Analysis written by Bilal M. Ayyub. This book was released on 2007-12-29. Available in PDF, EPUB and Kindle. Book excerpt: The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.

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