Uncertainty Modeling And Analysis In Civil Engineering

Author : Bilal M. Ayyub
Publisher : CRC Press
Page : 534 pages
File Size : 47,6 Mb
Release : 1997-12-29
Category : Technology & Engineering
ISBN : 0849331080

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Uncertainty Modeling and Analysis in Civil Engineering by Bilal M. Ayyub Pdf

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 high adverse consequences. The current political, societal, and financial climate requires engineers to formally consider the factors of uncertainty (e.g., floods, earthquakes, winds, environmental risks) in their decisions at all levels. Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics include Neural networks Genetic algorithms Numerical modeling Fuzzy sets and operations Reliability and risk analysis Systems control Uncertainty in probability estimates This compendium is a considerable reference for civil engineers as well as for engineers in other disciplines, computer scientists, general scientists, and students.

Author : Bilal M. Ayyub,George J. Klir
Publisher : CRC Press
Page : 401 pages
File Size : 43,8 Mb
Release : 2006-05-25
Category : Business & Economics
ISBN : 9781420011456

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Uncertainty Modeling and Analysis in Engineering and the Sciences by Bilal M. Ayyub,George J. Klir Pdf

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,Madan M. Gupta
Publisher : Elsevier Publishing Company
Page : 568 pages
File Size : 46,8 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015037255943

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Uncertainty Modelling and Analysis by Bilal M. Ayyub,Madan M. Gupta Pdf

Vital information on machine intelligence and pattern recognition is provided by this publication. In particular, the 31 papers discuss the ways in which uncertainty modelling and analysis are becoming an integral part of system definition and modelling in many fields. Contributions are sourced from an international base of researchers, scientists and engineers working on theoretical developments and diversified applications in engineering systems. The book is divided into two main parts. The first, Uncertainty Models and Measures, includes chapters on theoretical studies and developments carried out on uncertainty (including cognitive uncertainty and how it relates to information and intelligence), information, fuzzy logic, expert systems and neural networks. There are also chapters on modelling uncertainty in the reliability assessment of complex systems, linguistic connectives, the principle of maximum buoyancy, uncertain evidence, inductive learning, convex modelling, new uncertainty measures and information and uncertainty.The larger second part, Applications to Engineering Systems, contains application-oriented studies in fields related to civil, electrical, energy and general engineering systems. The papers cover studies on general uncertainty types in structural engineering, bridges, transmission structures, structural reliability, structural identification, system life cycle analysis, control, construction activities, decision analysis, signal detection, risk management, product quality, military command and control, data bases, long-term projections and predictions and assessment of insurance indices.The book conveys the excitement, advances and promises that all these fields offer to our expanding information-based technological society. It also hopes to stimulate the interest of other researchers around the world who are facing the challenge of new theoretical studies and innovative technological changes.

Author : Bilal Ayyub,Madan M. Gupta
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 40,6 Mb
Release : 1997-10-31
Category : Computers
ISBN : 0792380304

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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by Bilal Ayyub,Madan M. Gupta Pdf

Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.

Author : Wolfgang Fellin,Heimo Lessmann,Michael Oberguggenberger,Robert Vieider
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 50,9 Mb
Release : 2005-12-19
Category : Technology & Engineering
ISBN : 9783540268475

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Analyzing Uncertainty in Civil Engineering by Wolfgang Fellin,Heimo Lessmann,Michael Oberguggenberger,Robert Vieider Pdf

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 : Bilal M. Ayyub,George J. Klir
Publisher : Chapman & Hall
Page : 110 pages
File Size : 47,6 Mb
Release : 2006-01
Category : Business & Economics
ISBN : 1584886560

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Solutions Manual for Uncertainty Modeling and Analysis in Engineering and the Sciences by Bilal M. Ayyub,George J. Klir Pdf

Author : Bilal M. Ayyub,Richard H. McCuen
Publisher : CRC Press
Page : 660 pages
File Size : 47,9 Mb
Release : 2002-06-26
Category : Mathematics
ISBN : 1584882867

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Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition by Bilal M. Ayyub,Richard H. McCuen Pdf

Virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. The second edition of this bestselling text introduces probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. It also features expanded discussions of the analysis of variance including single- and two-factor analyses and a thorough treatment of Monte Carlo simulation. The authors clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition, was designed as both a reference and as a textbook, and it serves each purpose well. Ultimately, readers will find its content of great value in problem solving and decision making, particularly in practical applications.

Author : Bilal M. Ayyub
Publisher : Springer Science & Business Media
Page : 545 pages
File Size : 45,7 Mb
Release : 2007-12-29
Category : Business & Economics
ISBN : 9780387235509

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Applied Research in Uncertainty Modeling and Analysis by Bilal M. Ayyub Pdf

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 : Etienne de Rocquigny,Nicolas Devictor,Stefano Tarantola
Publisher : John Wiley & Sons
Page : 364 pages
File Size : 51,7 Mb
Release : 2008-09-15
Category : Mathematics
ISBN : 9780470770740

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Uncertainty in Industrial Practice by Etienne de Rocquigny,Nicolas Devictor,Stefano Tarantola Pdf

Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the quantification of uncertainties in the presence of data, model(s) and knowledge about the system, and offers a technical contribution to decision-making processes whilst acknowledging industrial constraints. The approach presented can be applied to a range of different business contexts, from research or early design through to certification or in-service processes. The authors aim to foster optimal trade-offs between literature-referenced methodologies and the simplified approaches often inevitable in practice, owing to data, time or budget limitations of technical decision-makers. Uncertainty in Industrial Practice: Features recent uncertainty case studies carried out in the nuclear, air & space, oil, mechanical and civil engineering industries set in a common methodological framework. Presents methods for organizing and treating uncertainties in a generic and prioritized perspective. Illustrates practical difficulties and solutions encountered according to the level of complexity, information available and regulatory and financial constraints. Discusses best practice in uncertainty modeling, propagation and sensitivity analysis through a variety of statistical and numerical methods. Reviews recent standards, references and available software, providing an essential resource for engineers and risk analysts in a wide variety of industries. This book provides a guide to dealing with quantitative uncertainty in engineering and modelling and is aimed at practitioners, including risk-industry regulators and academics wishing to develop industry-realistic methodologies.

Author : Bernd Möller,Michael Beer
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 41,5 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9783662073582

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Fuzzy Randomness by Bernd Möller,Michael Beer Pdf

sections dealing with fuzzy functions and fuzzy random functions are certain to be of special interest. The reader is expected to be in command of the knowledge gained in a basic university mathematics course, with the inclusion of stochastic elements. A specification of uncertainty in any particular case is often difficult. For this reason Chaps. 3 and 4 are devoted solely to this problem. The derivation of fuzzy variables for representing informal and lexical uncertainty reflects the subjective assessment of objective conditions in the form of a membership function. Techniques for modeling fuzzy random variables are presented for data that simultaneously exhibit stochastic and nonstochastic properties. The application of fuzzy randomness is demonstrated in three fields of civil engineering and computational mechanics: structural analysis, safety assessment, and design. The methods of fuzzy structural analysis and fuzzy probabilistic structural analysis developed in Chap. 5 are applicable without restriction to arbitrary geometrically and physically nonlinear problems. The most important forms of the latter are the Fuzzy Finite Element Method (FFEM) and the Fuzzy Stochastic Finite Element Method (FSFEM).

Author : Ove Ditlevsen
Publisher : Unknown
Page : 440 pages
File Size : 44,7 Mb
Release : 1981
Category : Mathematics
ISBN : UOM:39015004567692

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Uncertainty Modeling with Applications to Multidimensional Civil Engineering Systems by Ove Ditlevsen Pdf

Author : Jim W. Hall,Michael Beer,Siu-Kui Au
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2024-06-17
Category : Electronic
ISBN : 0784413606

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Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management by Jim W. Hall,Michael Beer,Siu-Kui Au Pdf

Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), held in Liverpool, UK, July 13-16, 2014. Sponsored by the Institute for Risk and Uncertainty and the Virtual Engineering Centre of the University of Liverpool, the Environmental Change Institute of the University of Oxford, and the Council on Disaster Risk Management of ASCE. Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, CDRM 9, contains 290 peer-reviewed papers that build upon recent significant advances in the quantification, mitigation, and management of risk and uncertainty. These papers focus on decision making and multi-disciplinary developments to address the demands and challenges evolving from the rapidly growing complexity of real-world problems. Topics include: risk assessment and management of critical infrastructure projects; performance-based and reliability-based structural optimization under uncertainty; verified and stochastic approaches to modeling and simulation under uncertainty; risk management for floods, tsunamis, earthquakes, and other natural hazards; risk and uncertainty modeling in transportation and logistics; and geotechnical risk, uncertainty, and decision making. These papers will be valuable to experts, decision-makers, and others involved in assessing, planning responses to, and managing vulnerability and risk.

Author : Dan G. Cacuci
Publisher : CRC Press
Page : 304 pages
File Size : 46,8 Mb
Release : 2003-05-28
Category : Mathematics
ISBN : 9781135442989

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Sensitivity & Uncertainty Analysis, Volume 1 by Dan G. Cacuci Pdf

As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable investigative scientific tools in their own right. While most techniques used for these analyses are well documented, there has yet to appear a systematic treatment of the method based on adjoint operators, which is applicable to a much wider variety of problems than methods traditionally used in control theory. This book fills that gap, focusing on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP) and the use of deterministically obtained sensitivities for subsequent uncertainty analysis.

Author : Bilal M. Ayyub
Publisher : CRC Press
Page : 628 pages
File Size : 53,9 Mb
Release : 2014-03-18
Category : Business & Economics
ISBN : 9781466518261

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Risk Analysis in Engineering and Economics by Bilal M. Ayyub Pdf

Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes the fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science, economics, and finance. Drawing on his extensive e

Author : Bilal M. Ayyub,Ard‚shir Guran,Achintya Haldar
Publisher : World Scientific
Page : 382 pages
File Size : 51,8 Mb
Release : 1997
Category : Technology & Engineering
ISBN : 9789810231347

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Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems by Bilal M. Ayyub,Ard‚shir Guran,Achintya Haldar Pdf

This book gives an overview of the current state of uncertainty modeling in vibration, control, and fuzzy analysis of structural and mechanical systems. It is a coherent compendium written by leading experts and offers the reader a sampling of exciting research areas in several fast-growing branches in this field. Uncertainty modeling and analysis are becoming an integral part of system definition and modeling in many fields. The book consists of ten chapters that report the work of researchers, scientists and engineers on theoretical developments and diversified applications in engineering systems. They deal with modeling for vibration, control, and fuzzy analysis of structural and mechanical systems under uncertain conditions. The book designed for readers who are familiar with the fundamentals and wish to study a particular topic or use the book as an authoritative reference. It gives readers a sophisticated toolbox for tackling modeling problems in mechanical and structural systems in real-world situations. The book is part of a series on Stability, Vibration and Control of Structures, and provides vital information in these areas.