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Introduction To Optimization And Multidisciplinary Design
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Book Synopsis Multidisciplinary Design Optimization in Computational Mechanics by : Piotr Breitkopf
Download or read book Multidisciplinary Design Optimization in Computational Mechanics written by Piotr Breitkopf and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.
Book Synopsis Multidisciplinary Design Optimization Supported by Knowledge Based Engineering by : Jaroslaw Sobieszczanski-Sobieski
Download or read book Multidisciplinary Design Optimization Supported by Knowledge Based Engineering written by Jaroslaw Sobieszczanski-Sobieski and published by John Wiley & Sons. This book was released on 2015-09-28 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.
Book Synopsis Multidisciplinary Design Optimization by : Natalia M. Alexandrov
Download or read book Multidisciplinary Design Optimization written by Natalia M. Alexandrov and published by SIAM. This book was released on 1997-01-01 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidisciplinary design optimization (MDO) has recently emerged as a field of research and practice that brings together many previously disjointed disciplines and tools of engineering and mathematics. MDO can be described as a technology, environment, or methodology for the design of complex, coupled engineering systems, such as aircraft, automobiles, and other mechanisms, the behavior of which is determined by interacting subsystems.
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.
Book Synopsis Multidisciplinary Design Optimization Supported by Knowledge Based Engineering by : Jaroslaw Sobieszczanski-Sobieski
Download or read book Multidisciplinary Design Optimization Supported by Knowledge Based Engineering written by Jaroslaw Sobieszczanski-Sobieski and published by John Wiley & Sons. This book was released on 2017-05-08 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.
Book Synopsis Introduction to Optimization and Multidisciplinary Design by : Jacques Periaux
Download or read book Introduction to Optimization and Multidisciplinary Design written by Jacques Periaux and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV)"--Preface.
Book Synopsis Introduction to Optimization and Multidisciplinary Design by : Jacques Periaux
Download or read book Introduction to Optimization and Multidisciplinary Design written by Jacques Periaux and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Optimization and Multidisciplinary Design by : Jacques Periaux
Download or read book Introduction to Optimization and Multidisciplinary Design written by Jacques Periaux and published by . This book was released on 2006 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery by : Jacques Periaux
Download or read book Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery written by Jacques Periaux and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery by : Jacques Periaux
Download or read book Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery written by Jacques Periaux and published by . This book was released on 2012 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Optimization Methods and Tools for Multidisciplinary Design in Aeronautics and Turbomachinery by : Jacques Periaux
Download or read book Introduction to Optimization Methods and Tools for Multidisciplinary Design in Aeronautics and Turbomachinery written by Jacques Periaux and published by . This book was released on 2008 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery by : Von Karman Institute for Fluid Dynamics
Download or read book Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery written by Von Karman Institute for Fluid Dynamics and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multidisciplinary Design Optimization by : Tommy Haynes
Download or read book Multidisciplinary Design Optimization written by Tommy Haynes and published by . This book was released on 2017-06-15 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidisciplinary Design Optimization is a rapidly growing field of study. It falls under the umbrella of engineering and focuses on solving design related problems with the help of optimization methods. The techniques are also helpful and useful in other fields like automobile design, electronics, computers, etc. This book aims to elaborately discuss the various problem solving techniques under the broader category of design optimization like gradient based methods, population based methods and gradient free methods, etc. As this field is emerging at a rapid pace, the contents of this book will help the readers understand the modern concepts and applications of the subject. From theories to research to practical applications, case studies related to all contemporary topics of relevance to the field of multidisciplinary design optimization have been included in this book.
Book Synopsis Introduction to Optimum Design by : Jasbir Singh Arora
Download or read book Introduction to Optimum Design written by Jasbir Singh Arora and published by Elsevier. This book was released on 2004-06-02 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is a mathematical tool developed in the early 1960's used to find the most efficient and feasible solutions to an engineering problem. It can be used to find ideal shapes and physical configurations, ideal structural designs, maximum energy efficiency, and many other desired goals of engineering. This book is intended for use in a first course on engineering design and optimization. Material for the text has evolved over a period of several years and is based on classroom presentations for an undergraduate core course on the principles of design. Virtually any problem for which certain parameters need to be determined to satisfy constraints can be formulated as a design optimization problem. The concepts and methods described in the text are quite general and applicable to all such formulations. Inasmuch, the range of application of the optimum design methodology is almost limitless, constrained only by the imagination and ingenuity of the user. The book describes the basic concepts and techniques with only a few simple applications. Once they are clearly understood, they can be applied to many other advanced applications that are discussed in the text. Allows engineers involved in the design process to adapt optimum design concepts in their work using the material in the text Basic concepts of optimality conditions and numerical methods are described with simple examples, making the material high teachable and learnable Classroom-tested for many years to attain optimum pedagogical effectiveness
Book Synopsis Algorithms for Optimization by : Mykel J. Kochenderfer
Download or read book Algorithms for Optimization written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2019-03-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Book Synopsis Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures by : Ann-Britt Ryberg
Download or read book Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures written by Ann-Britt Ryberg and published by Linköping University Electronic Press. This book was released on 2017-09-14 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. In this thesis, a metamodel-based MDO process that fits normal company organizations and CAE-based development processes is presented. The introduction of global metamodels offers means to increase computational efficiency and distribute work without implementing complicated multi-level MDO methods. The presented MDO process is proven to be efficient for thickness optimization studies with the objective to minimize mass. It can also be used for spot weld optimization if the models are prepared correctly. A comparison of different methods reveals that topology optimization, which requires less model preparation and computational effort, is an alternative if load cases involving simulations of linear systems are judged to be of major importance. A technical challenge when performing metamodel-based design optimization is lack of accuracy for metamodels representing complex responses including discontinuities, which are common in for example crashworthiness applications. The decision boundary from a support vector machine (SVM) can be used to identify the border between different types of deformation behaviour. In this thesis, this information is used to improve the accuracy of feedforward neural network metamodels. Three different approaches are tested; to split the design space and fit separate metamodels for the different regions, to add estimated guiding samples to the fitting set along the boundary before a global metamodel is fitted, and to use a special SVM-based sequential sampling method. Substantial improvements in accuracy are observed, and it is found that implementing SVM-based sequential sampling and estimated guiding samples can result in successful optimization studies for cases where more conventional methods fail.
Book Synopsis Multidisciplinary Design Optimization: An Emerging New Engineering Discipline by :
Download or read book Multidisciplinary Design Optimization: An Emerging New Engineering Discipline written by and published by . This book was released on 1993 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
