Uncertainty Modeling and Analysis in Civil Engineering

Uncertainty Modeling and Analysis in Civil Engineering
Author :
Publisher : CRC Press
Total Pages : 534
Release :
ISBN-10 : 0849331080
ISBN-13 : 9780849331084
Rating : 4/5 (80 Downloads)

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

Download or read book Uncertainty Modeling and Analysis in Civil Engineering written by Bilal M. Ayyub and published by CRC Press. This book was released on 1997-12-29 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
Author :
Publisher : Springer Science & Business Media
Total Pages : 414
Release :
ISBN-10 : 0792380304
ISBN-13 : 9780792380306
Rating : 4/5 (04 Downloads)

Book Synopsis Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by : Bilal Ayyub

Download or read book Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach written by Bilal Ayyub and published by Springer Science & Business Media. This book was released on 1997-10-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems
Author :
Publisher : IGI Global
Total Pages : 442
Release :
ISBN-10 : 9781466649927
ISBN-13 : 1466649925
Rating : 4/5 (27 Downloads)

Book Synopsis Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems by : Chakraverty, S.

Download or read book Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems written by Chakraverty, S. and published by IGI Global. This book was released on 2014-01-31 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications"--Provided by publisher.

Sensitivity & Uncertainty Analysis, Volume 1

Sensitivity & Uncertainty Analysis, Volume 1
Author :
Publisher : CRC Press
Total Pages : 304
Release :
ISBN-10 : 9780203498798
ISBN-13 : 0203498798
Rating : 4/5 (98 Downloads)

Book Synopsis Sensitivity & Uncertainty Analysis, Volume 1 by : Dan G. Cacuci

Download or read book Sensitivity & Uncertainty Analysis, Volume 1 written by Dan G. Cacuci and published by CRC Press. This book was released on 2003-05-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Uncertainty Modeling in Finite Element, Fatigue and Stability of Systems

Uncertainty Modeling in Finite Element, Fatigue and Stability of Systems
Author :
Publisher : World Scientific
Total Pages : 437
Release :
ISBN-10 : 9789810231286
ISBN-13 : 9810231288
Rating : 4/5 (86 Downloads)

Book Synopsis Uncertainty Modeling in Finite Element, Fatigue and Stability of Systems by : Achintya Haldar

Download or read book Uncertainty Modeling in Finite Element, Fatigue and Stability of Systems written by Achintya Haldar and published by World Scientific. This book was released on 1997 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: The functionality of modern structural, mechanical and electrical or electronic systems depends on their ability to perform under uncertain conditions. Consideration of uncertainties and their effect on system behavior is an essential and integral part of defining systems. In eleven chapters, leading experts present an overview of the current state of uncertainty modeling, analysis and design of large systems in four major areas: finite and boundary element methods (common structural analysis techniques), fatigue, stability analysis, and fault-tolerant systems. The content of this book is unique; it describes exciting research developments and challenges in emerging areas, and provide a sophisticated toolbox for tackling uncertainty modeling in real systems.

Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems

Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems
Author :
Publisher : World Scientific
Total Pages : 382
Release :
ISBN-10 : 9789810231347
ISBN-13 : 9810231342
Rating : 4/5 (47 Downloads)

Book Synopsis Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems by : Bilal M. Ayyub

Download or read book Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems written by Bilal M. Ayyub and published by World Scientific. This book was released on 1997 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition

Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition
Author :
Publisher : CRC Press
Total Pages : 660
Release :
ISBN-10 : 1584882867
ISBN-13 : 9781584882862
Rating : 4/5 (67 Downloads)

Book Synopsis Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition by : Bilal M. Ayyub

Download or read book Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition written by Bilal M. Ayyub and published by CRC Press. This book was released on 2002-06-26 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.