Probabilistic Design For Optimization And Robustness For Engineers

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Probabilistic Design for Optimization and Robustness for Engineers

Author : Bryan Dodson
Publisher : John Wiley & Sons
ISBN 13 : 1118796306
Total Pages : 272 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Probabilistic Design for Optimization and Robustness for Engineers by : Bryan Dodson

Download or read book Probabilistic Design for Optimization and Robustness for Engineers written by Bryan Dodson and published by John Wiley & Sons. This book was released on 2014-07-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.

Probabilistic Design for Optimization and Robustness for Engineers

Author : Bryan Dodson
Publisher : John Wiley & Sons
ISBN 13 : 1118796195
Total Pages : 267 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Probabilistic Design for Optimization and Robustness for Engineers by : Bryan Dodson

Download or read book Probabilistic Design for Optimization and Robustness for Engineers written by Bryan Dodson and published by John Wiley & Sons. This book was released on 2014-10-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.

Probabilistic and Randomized Methods for Design under Uncertainty

Author : Giuseppe Calafiore
Publisher : Springer Science & Business Media
ISBN 13 : 1846280958
Total Pages : 454 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Probabilistic and Randomized Methods for Design under Uncertainty by : Giuseppe Calafiore

Download or read book Probabilistic and Randomized Methods for Design under Uncertainty written by Giuseppe Calafiore and published by Springer Science & Business Media. This book was released on 2006-03-06 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world’s leading experts in a fast-emerging branch of control engineering and operations research. The book will be bought by university researchers and lecturers along with graduate students in control engineering and operational research.

14th International Probabilistic Workshop

Author : Robby Caspeele
Publisher : Springer
ISBN 13 : 3319478869
Total Pages : 526 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis 14th International Probabilistic Workshop by : Robby Caspeele

Download or read book 14th International Probabilistic Workshop written by Robby Caspeele and published by Springer. This book was released on 2016-11-20 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 14th International Probabilistic Workshop that was held in Ghent, Belgium in December 2016. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

Optimization in Practice with MATLAB®

Author : Achille Messac
Publisher : Cambridge University Press
ISBN 13 : 1316381374
Total Pages : 503 pages
Book Rating : 4.3/5 (163 download)

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Book Synopsis Optimization in Practice with MATLAB® by : Achille Messac

Download or read book Optimization in Practice with MATLAB® written by Achille Messac and published by Cambridge University Press. This book was released on 2015-03-19 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to both junior and senior undergraduate and graduate students, as well as industry practitioners. It provides a strongly practical perspective that allows the student to be ready to use optimization in the workplace. It covers traditional materials, as well as important topics previously unavailable in optimization books (e.g. numerical essentials - for successful optimization). Written with both the reader and the instructor in mind, Optimization in Practice with MATLAB® provides practical applications of real-world problems using MATLAB®, with a suite of practical examples and exercises that help the students link the theoretical, the analytical, and the computational in each chapter. Additionally, supporting MATLAB® m-files are available for download via www.cambridge.org.messac. Lastly, adopting instructors will receive a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter, and the text's unique flexibility enables instructors to structure one- or two-semester courses.

Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization

Author : Maosheng Zheng
Publisher : Springer Nature
ISBN 13 : 9819726611
Total Pages : 127 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization by : Maosheng Zheng

Download or read book Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization written by Maosheng Zheng and published by Springer Nature. This book was released on with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Design Optimization Under Uncertainty

Author : Weifei Hu
Publisher : Springer Nature
ISBN 13 : 3031492080
Total Pages : 282 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Design Optimization Under Uncertainty by : Weifei Hu

Download or read book Design Optimization Under Uncertainty written by Weifei Hu and published by Springer Nature. This book was released on 2023-12-22 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the fundamentals of probability, statistical, and reliability concepts, the classical methods of uncertainty quantification and analytical reliability analysis, and the state-of-the-art approaches of design optimization under uncertainty (e.g., reliability-based design optimization and robust design optimization). The topics include basic concepts of probability and distributions, uncertainty quantification using probabilistic methods, classical reliability analysis methods, time-variant reliability analysis methods, fundamentals of deterministic design optimization, reliability-based design optimization, robust design optimization, other methods of design optimization under uncertainty, and engineering applications of design optimization under uncertainty.

Structural Design Optimization Considering Uncertainties

Author : Yannis Tsompanakis
Publisher : Taylor & Francis
ISBN 13 : 1134055064
Total Pages : 669 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Structural Design Optimization Considering Uncertainties by : Yannis Tsompanakis

Download or read book Structural Design Optimization Considering Uncertainties written by Yannis Tsompanakis and published by Taylor & Francis. This book was released on 2008-02-07 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fixed coefficients, but random variables with a certain probability distribution. The increasing necessity to solve complex problems in Structural Optimization, Structural Reliability and Probabilistic Mechanics, requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest findings on structural optimization considering uncertainties. It contains selected contributions dealing with the use of probabilistic methods for the optimal design of different types of structures and various considerations of uncertainties. The first part is focused on reliability-based design optimization and the second part on robust design optimization. Comprising twenty-one, self-contained chapters by prominent authors in the field, it forms a complete collection of state-of-the-art theoretical advances and applications in the fields of structural optimization, structural reliability, and probabilistic computational mechanics. It is recommended to researchers, engineers, and students in civil, mechanical, naval and aerospace engineering and to professionals working on complicated costs-effective design problems.

Engineering Design under Uncertainty and Health Prognostics

Author : Chao Hu
Publisher : Springer
ISBN 13 : 3319925741
Total Pages : 342 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Engineering Design under Uncertainty and Health Prognostics by : Chao Hu

Download or read book Engineering Design under Uncertainty and Health Prognostics written by Chao Hu and published by Springer. This book was released on 2018-06-16 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It seeks to facilitate practical application of probabilistic analysis and design by providing an authoritative, in-depth, and practical description of what probabilistic analysis and design is and how it can be implemented. The text is packed with many practical engineering examples (e.g., electric power transmission systems, aircraft power generating systems, and mechanical transmission systems) and exercise problems. It is an up-to-date, fully illustrated reference suitable for both undergraduate and graduate engineering students, researchers, and professional engineers who are interested in exploring the fundamentals, implementation, and applications of probabilistic analysis and design methods.

Engineering Design Reliability Handbook

Author : Efstratios Nikolaidis
Publisher : CRC Press
ISBN 13 : 0203483936
Total Pages : 1216 pages
Book Rating : 4.2/5 (34 download)

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Book Synopsis Engineering Design Reliability Handbook by : Efstratios Nikolaidis

Download or read book Engineering Design Reliability Handbook written by Efstratios Nikolaidis and published by CRC Press. This book was released on 2004-12-22 with total page 1216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini

Accelerated Testing

Author : Bryan Dodson
Publisher : SAE International
ISBN 13 : 1468603515
Total Pages : 252 pages
Book Rating : 4.4/5 (686 download)

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Book Synopsis Accelerated Testing by : Bryan Dodson

Download or read book Accelerated Testing written by Bryan Dodson and published by SAE International. This book was released on 2021-08-16 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of accelerated testing theory is a difficult proposition, yet one that can result in considerable time and cost savings, as well as increasing a product's useful life. In Accelerated Testing: A Practitioner's Guide to Accelerated and Reliability Testing, readers are exposed to the latest, most practical knowledge available in this dynamic and important discipline. Authors Bryan Dodson and Harry Schwab draw on their considerable experience in the field to present comprehensive, insightful views in this book. Development and quality assurance tests are defined in detail and are presented from a practical viewpoint. Included are testing fundamentals, plans and models, and equipment and methods most commonly used in accelerated testing. Individuals seeking to evaluate and improve the design lives of components and systems will find this book a valuable reference, with special attention being paid to testing in the mobility industries.

Engineering Design Optimization

Author : Joaquim R. R. A. Martins
Publisher : Cambridge University Press
ISBN 13 : 110898861X
Total Pages : 653 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Engineering Design Optimization by : Joaquim R. R. A. Martins

Download or read book Engineering Design Optimization written by Joaquim R. R. A. Martins and published by Cambridge University Press. This book was released on 2021-11-18 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.

Active Robust Optimization: Optimizing for Robustness of Changeable Products

Author : Shaul Salomon
Publisher : Springer
ISBN 13 : 303015050X
Total Pages : 194 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Active Robust Optimization: Optimizing for Robustness of Changeable Products by : Shaul Salomon

Download or read book Active Robust Optimization: Optimizing for Robustness of Changeable Products written by Shaul Salomon and published by Springer. This book was released on 2019-07-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and optimizing changeable products. Since any product that can change its configuration during normal operation may be considered a “changeable product,” the framework is widely applicable. Further, the methodology enables designers to use adaptability to deal with uncertainties and so avoid over-conservative designs. Offering a comprehensive overview of the framework, including its unique features, such as its ability to optimally respond to uncertain situations, the book also defines a new class of optimization problem and examines the effects of changes in various parameters on their solution. Lastly, it discusses innovative approaches for solving the problem and demonstrates these ‎with two examples from different fields in engineering design: optimization of an optical table and optimization of a gearbox.

Ambient Communications and Computer Systems

Author : Gregorio Martinez Perez
Publisher : Springer
ISBN 13 : 9811073864
Total Pages : 777 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Ambient Communications and Computer Systems by : Gregorio Martinez Perez

Download or read book Ambient Communications and Computer Systems written by Gregorio Martinez Perez and published by Springer. This book was released on 2018-03-20 with total page 777 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality, peer-reviewed papers from the International Conference on Recent Advancement in Computer, Communication and Computational Sciences (RACCCS-2017), held at Aryabhatta College of Engineering & Research Center, Ajmer, India on September 2–3, 2017, presenting the latest developments and technical solutions in computational sciences. Data science, data- and knowledge engineering require networking and communication as a backbone and have a wide scope of implementation in engineering sciences. Keeping this ideology in mind, the book offers insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. Covering a variety of topics, such as intelligent hardware and software design, advanced communications, intelligent computing technologies, advanced software engineering, the web and informatics, and intelligent image processing, it helps those in the computer industry and academia use the advances of next-generation communication and computational technology to shape real-world applications.

Optimization of Systems with Uncertainty

Author : National Aeronautics and Space Administration (NASA)
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781720655251
Total Pages : 28 pages
Book Rating : 4.6/5 (552 download)

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Book Synopsis Optimization of Systems with Uncertainty by : National Aeronautics and Space Administration (NASA)

Download or read book Optimization of Systems with Uncertainty written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-06-03 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a study on the optimization of systems with structured uncertainties, whose inputs and outputs can be exhaustively described in the probabilistic sense. By propagating the uncertainty from the input to the output in the space of the probability density functions and the moments, optimization problems that pursue performance, robustness and reliability based designs are studied. Be specifying the desired outputs in terms of desired probability density functions and then in terms of meaningful probabilistic indices, we settle a computationally viable framework for solving practical optimization problems. Applications to static optimization and stability control are used to illustrate the relevance of incorporating uncertainty in the early stages of the design. Several examples that admit a full probabilistic description of the output in terms of the design variables and the uncertain inputs are used to elucidate the main features of the generic problem and its solution. Extensions to problems that do not admit closed form solutions are also evaluated. Concrete evidence of the importance of using a consistent probabilistic formulation of the optimization problem and a meaningful probabilistic description of its solution is provided in the examples. In the stability control problem the analysis shows that standard deterministic approaches lead to designs with high probability of running into instability. The implementation of such designs can indeed have catastrophic consequences.Crespo, Luis G. and Bushnell, Dennis M. (Technical Monitor)Langley Research CenterOPTIMIZATION; PROBABILITY THEORY; UNCERTAIN SYSTEMS; ROBUSTNESS (MATHEMATICS); RELIABILITY; DESIGN ANALYSIS; PROBABILITY DENSITY FUNCTIONS

Handbook of Probabilistic Models

Author : Pijush Samui
Publisher : Butterworth-Heinemann
ISBN 13 : 0128165464
Total Pages : 590 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Probabilistic Models by : Pijush Samui

Download or read book Handbook of Probabilistic Models written by Pijush Samui and published by Butterworth-Heinemann. This book was released on 2019-10-05 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-Objective Optimization

Author : Maosheng Zheng
Publisher : Springer
ISBN 13 : 9789819726608
Total Pages : 0 pages
Book Rating : 4.7/5 (266 download)

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Book Synopsis Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-Objective Optimization by : Maosheng Zheng

Download or read book Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-Objective Optimization written by Maosheng Zheng and published by Springer. This book was released on 2024-06-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems. Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product’s quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn’t characterize the issue of simultaneous optimization of above two independent sub-responses sufficiently for robust design, so an appropriate approach is needed. The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous optimization of both mean value of a response and its dispersion in manner of joint probability. Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, which provide miraculous treatment for the 'target the best' case flexibly.