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Author | : Kok-Kwang Phoon |
Publisher | : CRC Press |
Total Pages | : 521 |
Release | : 2023-12-11 |
Genre | : Technology & Engineering |
ISBN | : 1003801250 |
Download Uncertainty, Modeling, and Decision Making in Geotechnics Book in PDF, ePub and Kindle
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.
Author | : Kok-Kwang Phoon |
Publisher | : |
Total Pages | : 0 |
Release | : 2024 |
Genre | : Geotechnical engineering |
ISBN | : 9781032367507 |
Download Uncertainty, Modelling, and Decision Making in Geotechnics Book in PDF, ePub and Kindle
"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"--
Author | : |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Geotechnical engineering |
ISBN | : 9781003333586 |
Download Uncertainty, Modeling, and Decision Making in Geotechnics Book in PDF, ePub and Kindle
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.
Author | : Bilal M. Ayyub |
Publisher | : CRC Press |
Total Pages | : 401 |
Release | : 2006-05-25 |
Genre | : Business & Economics |
ISBN | : 1420011456 |
Download Uncertainty Modeling and Analysis in Engineering and the Sciences Book in PDF, ePub and Kindle
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
Author | : Bilal M. Ayyub |
Publisher | : Springer Science & Business Media |
Total Pages | : 547 |
Release | : 2007-12-29 |
Genre | : Business & Economics |
ISBN | : 0387235507 |
Download Applied Research in Uncertainty Modeling and Analysis Book in PDF, ePub and Kindle
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.
Author | : Asadullah Khalid |
Publisher | : BoD – Books on Demand |
Total Pages | : 204 |
Release | : 2024-07-17 |
Genre | : Mathematics |
ISBN | : 0854665668 |
Download Applications and Optimizations of Kalman Filter and Their Variants Book in PDF, ePub and Kindle
Applications and Optimizations of Kalman Filter and Their Variants is a comprehensive exploration of Kalman filters’ diverse applications and refined optimizations across various domains. It meticulously examines their role in microgrid management, offering adaptive estimation techniques for effective control strategies. The book then delves into distribution system state estimation, showcasing an innovative stochastic programming model using extended Kalman filters for reliable monitoring and control. In the realm of financial modeling, readers gain insights into how Kalman filters enhance trading strategies like pairs trading and partial co-integration, bridging finance and analytics. Moreover, the book discusses Kalman filter optimization, addressing challenges in object tracking and error reduction with techniques like dynamic stochastic approximation algorithms and M-robust estimates. With practical examples and interdisciplinary approaches, this book serves as a valuable resource for researchers, practitioners, and students looking to harness Kalman filter techniques for enhanced efficiency and accuracy across diverse fields.
Author | : Peter Kwok Kin Leung |
Publisher | : |
Total Pages | : 412 |
Release | : 1979 |
Genre | : Bayesian statistical decision theory |
ISBN | : |
Download Modeling Uncertainty in Geotechnical Engineering Book in PDF, ePub and Kindle
Author | : Phung Duc Long |
Publisher | : Springer Nature |
Total Pages | : 2890 |
Release | : |
Genre | : |
ISBN | : 9819997224 |
Download Proceedings of the 5th International Conference on Geotechnics for Sustainable Infrastructure Development Book in PDF, ePub and Kindle
Author | : Wolfgang Fellin |
Publisher | : Springer Science & Business Media |
Total Pages | : 244 |
Release | : 2005-12-19 |
Genre | : Technology & Engineering |
ISBN | : 3540268472 |
Download Analyzing Uncertainty in Civil Engineering Book in PDF, ePub and Kindle
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 of the project does not properly cover the range of causes. A closer scrutiny of the adopted design, the engineering model, the data, the soil-construction-interaction and the model assumptions is required. Usually, the uncertainties in initial and boundary conditions are abundant. Current engineering practice often leaves these issues aside, despite the fact that new scientific tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to have a critical look at current engineering risk concepts in order to raise awareness of uncertainty in numerical computations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure mechanisms and their implications for construction management, execution, and the juristic question of responsibility. In addition, a number of the new procedures for modelling uncertainty are explained. The book is a result of a collaborate effort of mathematicians, engineers and construction managers who met regularly in a post graduate seminar at the University of Innsbruck during the past years.
Author | : Pijush Samui |
Publisher | : Academic Press |
Total Pages | : 518 |
Release | : 2020-12-01 |
Genre | : Technology & Engineering |
ISBN | : 0128218525 |
Download Modeling in Geotechnical Engineering Book in PDF, ePub and Kindle
Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds. Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application. Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering Includes case studies to help readers apply the methods described in their own work