Multidisciplinary Design Optimization In Computational Mechanics PDF Download
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Author | : Piotr Breitkopf |
Publisher | : John Wiley & Sons |
Total Pages | : 403 |
Release | : 2013-02-04 |
Genre | : Technology & Engineering |
ISBN | : 1118600002 |
Download Multidisciplinary Design Optimization in Computational Mechanics Book in PDF, ePub and Kindle
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.
Author | : Ann-Britt Ryberg |
Publisher | : Linköping University Electronic Press |
Total Pages | : 48 |
Release | : 2017-09-14 |
Genre | : |
ISBN | : 9176854825 |
Download Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures Book in PDF, ePub and Kindle
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.
Author | : Joaquim R. R. A. Martins |
Publisher | : Cambridge University Press |
Total Pages | : 653 |
Release | : 2021-11-18 |
Genre | : Mathematics |
ISBN | : 110898861X |
Download Engineering Design Optimization Book in PDF, ePub and Kindle
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.
Author | : |
Publisher | : |
Total Pages | : 16 |
Release | : 1993 |
Genre | : |
ISBN | : |
Download Multidisciplinary Design Optimization: An Emerging New Engineering Discipline Book in PDF, ePub and Kindle
Author | : Gang Lei |
Publisher | : Springer |
Total Pages | : 251 |
Release | : 2016-02-05 |
Genre | : Technology & Engineering |
ISBN | : 3662492717 |
Download Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems Book in PDF, ePub and Kindle
This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.
Author | : J. Herskovits |
Publisher | : Springer Science & Business Media |
Total Pages | : 508 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 9401104530 |
Download Advances in Structural Optimization Book in PDF, ePub and Kindle
Advances in Structural Optimization presents the techniques for a wide set of applications, ranging from the problems of size and shape optimization (historically the first to be studied) to topology and material optimization. Structural models are considered that use both discrete and finite elements. Structural materials can be classical or new. Emerging methods are also addressed, such as automatic differentiation, intelligent structures optimization, integration of structural optimization in concurrent engineering environments, and multidisciplinary optimization. For researchers and designers in industries such as aerospace, automotive, mechanical, civil, nuclear, naval and offshore. A reference book for advanced undergraduate or graduate courses on structural optimization and optimum design.
Author | : Jaroslaw Sobieszczanski-Sobieski |
Publisher | : John Wiley & Sons |
Total Pages | : 412 |
Release | : 2015-09-28 |
Genre | : Technology & Engineering |
ISBN | : 1118492129 |
Download Multidisciplinary Design Optimization Supported by Knowledge Based Engineering Book in PDF, ePub and Kindle
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.
Author | : Jasbir S Arora |
Publisher | : World Scientific |
Total Pages | : 610 |
Release | : 2007-09-05 |
Genre | : Technology & Engineering |
ISBN | : 9814477222 |
Download Optimization Of Structural And Mechanical Systems Book in PDF, ePub and Kindle
Computational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers. These methods have been applied to many practical applications. Several general-purpose optimization programs and programs for specific engineering applications have become available to solve particular optimization problems.Written by leading researchers in the field of optimization, this highly readable book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. Formulations of the problems and numerical solutions are presented, and topics requiring further research are also suggested.
Author | : Axel Schumacher |
Publisher | : Springer |
Total Pages | : 2115 |
Release | : 2017-12-04 |
Genre | : Science |
ISBN | : 3319679880 |
Download Advances in Structural and Multidisciplinary Optimization Book in PDF, ePub and Kindle
The volume includes papers from the WSCMO conference in Braunschweig 2017 presenting research of all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems. Also presented are practical applications of optimization methods and the corresponding software development in all branches of technology.
Author | : David Greiner |
Publisher | : Springer |
Total Pages | : 511 |
Release | : 2014-11-14 |
Genre | : Technology & Engineering |
ISBN | : 3319115413 |
Download Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences Book in PDF, ePub and Kindle
This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.