Multidiscipline Design Optimization PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Multidiscipline Design Optimization PDF full book. Access full book title Multidiscipline Design Optimization by Garret N. Vanderplaats. Download full books in PDF and EPUB format.
Author: Garret N. Vanderplaats
Publisher:
ISBN: 9780944956045
Category : Engineering design
Languages : en
Pages : 477
Get Book Here
Book Description
This book describes numerical optimization techniques, with emphasis on application to engineering design. These methods may be used to minimize/maximize one or more functions with limits, or constraints, on others. Optimization may be used with almost any computer based analysis program to efficiently improve an engineering design. Chapter 1 presents basic concepts of function minimization. Chapter 2 describes methods for minimizing unconstrained functions of many variables. Chapter 4 through 8 deal with general constrained optimization. These first eight chapters providethe building blocks for Multidiscipline Design Optimization. Chapter 9 describes the specific subjec tof structural optimization and Chapter 10 deals with general applications in mechanical, automotive and aerospaceengineering. These two chapters deal with single discipline optimization. Chapter 11 brings it all together for the design of systems considering several disciplines. This chapter provides an engineering approach to Multidiscipline design optimization that has proved to be effective in industrial applications. Numerous references are provided for further study.
Author: Garret N. Vanderplaats
Publisher:
ISBN: 9780944956045
Category : Engineering design
Languages : en
Pages : 477
Get Book Here
Book Description
This book describes numerical optimization techniques, with emphasis on application to engineering design. These methods may be used to minimize/maximize one or more functions with limits, or constraints, on others. Optimization may be used with almost any computer based analysis program to efficiently improve an engineering design. Chapter 1 presents basic concepts of function minimization. Chapter 2 describes methods for minimizing unconstrained functions of many variables. Chapter 4 through 8 deal with general constrained optimization. These first eight chapters providethe building blocks for Multidiscipline Design Optimization. Chapter 9 describes the specific subjec tof structural optimization and Chapter 10 deals with general applications in mechanical, automotive and aerospaceengineering. These two chapters deal with single discipline optimization. Chapter 11 brings it all together for the design of systems considering several disciplines. This chapter provides an engineering approach to Multidiscipline design optimization that has proved to be effective in industrial applications. Numerous references are provided for further study.
Author: Jaroslaw Sobieszczanski-Sobieski
Publisher: John Wiley & Sons
ISBN: 1118492129
Category : Technology & Engineering
Languages : en
Pages : 412
Get Book Here
Book Description
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: Gang Lei
Publisher: Springer
ISBN: 3662492717
Category : Technology & Engineering
Languages : en
Pages : 251
Get Book Here
Book Description
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: Joaquim R. R. A. Martins
Publisher: Cambridge University Press
ISBN: 110898861X
Category : Mathematics
Languages : en
Pages : 653
Get Book Here
Book Description
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: Piotr Breitkopf
Publisher: John Wiley & Sons
ISBN: 1118600002
Category : Technology & Engineering
Languages : en
Pages : 403
Get Book Here
Book Description
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: Natalia M. Alexandrov
Publisher: SIAM
ISBN: 9780898713596
Category : Design
Languages : en
Pages : 476
Get Book Here
Book Description
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.
Author: Garret N. Vanderplaats
Publisher: McGraw-Hill Companies
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 360
Get Book Here
Book Description
Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262039427
Category : Computers
Languages : en
Pages : 521
Get Book Here
Book Description
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.
Author: Panos Y. Papalambros
Publisher: Cambridge University Press
ISBN: 9780521627276
Category : Mathematics
Languages : en
Pages : 416
Get Book Here
Book Description
Principles of Optimal Design puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it. Since the first edition was published, computers have become ever more powerful, design engineers are tackling more complex systems, and the term optimization is now routinely used to denote a design process with increased speed and quality. This second edition takes account of these developments and brings the original text thoroughly up to date. The book now includes a discussion of trust region and convex approximation algorithms. A new chapter focuses on how to construct optimal design models. Three new case studies illustrate the creation of optimization models. The final chapter on optimization practice has been expanded to include computation of derivatives, interpretation of algorithmic results, and selection of algorithms and software. Both students and practising engineers will find this book a valuable resource for design project work.
Author: Loïc Brevault
Publisher: Springer Nature
ISBN: 3030391264
Category : Mathematics
Languages : en
Pages : 489
Get Book Here
Book Description
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties. The book provides approaches to integrating a multitude of components and constraints with the ultimate goal of reducing design cycles. Insights on a vast assortment of problems are provided, including discipline modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range of topics covered include areas of current open research. This Work is destined to become a fundamental reference for aerospace systems engineers, researchers, as well as for practitioners and engineers working in areas of optimization and uncertainty. Part I is largely comprised of fundamentals. Part II presents methodologies for single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the multifidelity, the multi-objective optimization and the mixed continuous/discrete optimization and Part V is devoted to test cases for aerospace vehicle design.
