Uncertainty In Engineering

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Uncertainty in Engineering

Author : Louis J. M. Aslett,Frank P. A. Coolen,Jasper De Bock
Publisher : Springer Nature
Page : 148 pages
File Size : 49,6 Mb
Release : 2022
Category : Electronic
ISBN : 9783030836405

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Uncertainty in Engineering by Louis J. M. Aslett,Frank P. A. Coolen,Jasper De Bock Pdf

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.

Mastering Uncertainty in Mechanical Engineering

Author : Peter F. Pelz,Peter Groche,Marc E. Pfetsch,Maximilian Schaeffner
Publisher : Springer Nature
Page : 483 pages
File Size : 44,5 Mb
Release : 2021-10-11
Category : Technology & Engineering
ISBN : 9783030783549

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Mastering Uncertainty in Mechanical Engineering by Peter F. Pelz,Peter Groche,Marc E. Pfetsch,Maximilian Schaeffner Pdf

This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

Uncertainty Analysis for Engineers and Scientists

Author : Faith A. Morrison
Publisher : Cambridge University Press
Page : 389 pages
File Size : 53,8 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781108478359

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Uncertainty Analysis for Engineers and Scientists by Faith A. Morrison Pdf

Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.

Experimentation, Validation, and Uncertainty Analysis for Engineers

Author : Hugh W. Coleman,W. Glenn Steele
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 49,8 Mb
Release : 2018-04-09
Category : Technology & Engineering
ISBN : 9781119417705

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Experimentation, Validation, and Uncertainty Analysis for Engineers by Hugh W. Coleman,W. Glenn Steele Pdf

Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

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

Author : Bilal Ayyub,Madan M. Gupta
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 53,5 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.

Uncertainty in Mechanical Engineering

Author : Peter F. Pelz,Peter Groche
Publisher : Springer
Page : 0 pages
File Size : 42,7 Mb
Release : 2021-05-27
Category : Technology & Engineering
ISBN : 3030772551

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Uncertainty in Mechanical Engineering by Peter F. Pelz,Peter Groche Pdf

This open access book reports on methods and technologies to describe, evaluate and control uncertainty in mechanical engineering applications. It brings together contributions by engineers, mathematicians and legal experts, offering a multidisciplinary perspective on the main issues affecting uncertainty throughout the complete system lifetime, which includes process and product planning, development, production and usage. The book is based on the proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), organized by the Collaborative Research Center (CRC) 805 of the TU Darmstadt, and held online on June 7–8, 2021. All in all, it offers a timely resource for researchers, graduate students and practitioners in the field of mechanical engineering, production engineering and engineering optimization.

Analyzing Uncertainty in Civil Engineering

Author : Wolfgang Fellin,Heimo Lessmann,Michael Oberguggenberger,Robert Vieider
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 49,5 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.

Uncertainty Modeling for Engineering Applications

Author : Flavio Canavero
Publisher : Springer
Page : 0 pages
File Size : 43,9 Mb
Release : 2019-01-16
Category : Technology & Engineering
ISBN : 3030048691

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Uncertainty Modeling for Engineering Applications by Flavio Canavero Pdf

This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change. Written by leading international experts from different fields, the book demonstrates the unifying property of UQ theme that can be profitably adopted to solve problems of different domains. The collection in one place of different methodologies for different applications has the great value of stimulating the cross-fertilization and alleviate the language barrier among areas sharing a common background of mathematical modeling for problem solution. The book is designed for researchers, professionals and graduate students interested in quantitatively assessing the effects of uncertainties in their fields of application. The contents build upon the workshop “Uncertainty Modeling for Engineering Applications” (UMEMA 2017), held in Torino, Italy in November 2017.

Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students

Author : Supreet Singh Bahga
Publisher : Supreet Singh Bahga
Page : 186 pages
File Size : 45,6 Mb
Release : 2021-07-06
Category : Technology & Engineering
ISBN : 9781636402321

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Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students by Supreet Singh Bahga Pdf

Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.

Probability Methods for Cost Uncertainty Analysis

Author : Paul R. Garvey,Stephen A. Book,Raymond P. Covert
Publisher : CRC Press
Page : 526 pages
File Size : 40,6 Mb
Release : 2016-01-06
Category : Mathematics
ISBN : 9781482219760

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Probability Methods for Cost Uncertainty Analysis by Paul R. Garvey,Stephen A. Book,Raymond P. Covert Pdf

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to

What Every Engineer Should Know About Decision Making Under Uncertainty

Author : John X. Wang
Publisher : CRC Press
Page : 342 pages
File Size : 53,9 Mb
Release : 2002-07-01
Category : Technology & Engineering
ISBN : 0203910753

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What Every Engineer Should Know About Decision Making Under Uncertainty by John X. Wang Pdf

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.

Decisions Under Uncertainty

Author : Ian Jordaan
Publisher : Cambridge University Press
Page : 696 pages
File Size : 54,9 Mb
Release : 2005-04-07
Category : Business & Economics
ISBN : 0521782775

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Decisions Under Uncertainty by Ian Jordaan Pdf

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Hydrosystems Engineering Uncertainty Analysis

Author : Yeou-Koung Tung,Ben-Chie Yen
Publisher : McGraw Hill Professional
Page : 306 pages
File Size : 42,9 Mb
Release : 2005-04-14
Category : Technology & Engineering
ISBN : 9780071467087

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Hydrosystems Engineering Uncertainty Analysis by Yeou-Koung Tung,Ben-Chie Yen Pdf

Failure of hydrosystems, such as dams, levees, storm sewers, or pollution control systems, pose threats to the public safety and health as well as potentially inflict enormous damages on properties and environments. Many failures of hydrosystems are mainly attributed by the existence of various uncertainties, including inherent natural randomness and the lack of complete understanding of involved geophysical processes. It is therefore essential to systematically quantify the degree of uncertainty for the problem in hand so that reliability assessment and risk-based design of hydrosystems can be made. The conventional approach of frequency analysis of heavy rainfalls or large floods consider only portion of the uncertainties involved in hydrosystem engineering problems. Over the past two decades or so, there has been a steady growth on the development and application of uncertainty analysis techniques in hydrosystems engineering and other disciplines. The aim of this book is to bring together these uncertainty analysis techniques in one book and to demonstrate their applications and limitations for a wide variety of hydrosystem engineering problems.

Engineering Uncertainty and Risk Analysis

Author : Sergio E. Serrano
Publisher : Hydroscience Incorporated
Page : 461 pages
File Size : 49,9 Mb
Release : 2011
Category : Technology & Engineering
ISBN : 0965564312

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Engineering Uncertainty and Risk Analysis by Sergio E. Serrano Pdf

Engineering Uncertainty and Risk Analysis offers an integrated coverage of the subjects of probability, statistics, Monte Carlo simulation, descriptive and inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance (ANOVA), stochastic processes, and stochastic differential equations. The author for first time presents an introduction to the broad field of engineering uncertainty analysis in one comprehensive, friendly, coverage. The focus is on engineering applications, rather than theoretical or mathematical considerations. Each concept is illustrated with several examples (177 solved examples) of relevance in engineering applications (no cards, colored balls, or dice). This second edition includes many new research advances in nonlinear stochastic equations; new simple methods to solve and graph boundary-value problems in several dimensions without the need of perturbation, or complex traditional analytical or numerical techniques; 478 pages; 177 solved examples; 147 proposed problems; 174 illustrations, 69 short computer programs; and 51 data and statistical tables

Uncertainty Quantification

Author : Christian Soize
Publisher : Springer
Page : 329 pages
File Size : 44,6 Mb
Release : 2017-04-24
Category : Computers
ISBN : 9783319543390

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Uncertainty Quantification by Christian Soize Pdf

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a stochastic model of uncertainty when experimental data is available. This book is intended to be a graduate-level textbook for students as well as professionals interested in the theory, computation, and applications of risk and prediction in science and engineering fields.