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Computational Approaches for Aerospace Design The Pursuit of Excellence

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ISBN-10: 0470855401

ISBN-13: 9780470855409

Edition: 2005

Authors: Andy Keane, Prasanth Nair

List price: $145.00
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Description:

'Computational Methods in Aerospace Design' focuses on the issues central to the optimisation of design and in particular the new field of 'multidisciplinary optimisation design'.
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Book details

List price: $145.00
Copyright year: 2005
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/5/2005
Binding: Hardcover
Pages: 602
Size: 6.50" wide x 9.50" long x 1.25" tall
Weight: 2.794

Foreword
Preface
Acknowledgments
Preliminaries
Introduction
Objectives
Road Map -What is Covered and What is Not
An Historical Perspective on Aerospace Design
Traditional Manual Approaches to Design and Design Iteration, Design Teams
Advances in Modeling Techniques: Computational Engineering
Trade-offs in Aerospace System Design
Design Automation, Evolution and Innovation
Design Search and Optimization (DSO)
The Take-up of Computational Methods
Design-oriented Analysis
Geometry Modeling and Design Parameterization
Computational Mesh Generation
Analysis and Design of Coupled Systems
Elements of Numerical Optimization
Single Variable Optimizers - Line Search
Multivariable Optimizers
Constrained Optimization
Metamodels and Response Surface Methods
Combined Approaches - Hybrid Searches, Metaheuristics
Multiobjective Optimization
Robustness
Sensitivity Analysis and Approximation Concepts
Sensitivity Analysis
Finite-difference Methods
Complex Variable Approach
Direct Methods
Adjoint Methods
Semianalytical Methods
Automatic Differentiation
Mesh Sensitivities for Complex Geometries
Sensitivity of Optima to Problem Parameters
Sensitivity Analysis of Coupled Systems
Comparison of Sensitivity Analysis Techniques
General Approximation Concepts and Surrogates
Local Approximations
Multipoint Approximations
Black-box Modeling: a Statistical Perspective
Generalized Linear Models
Sparse Approximation Techniques
Gaussian Process Interpolation and Regression
Data Parallel Modeling
Design of Experiments (DoE)
Visualization and Screening
Black-box Surrogate Modeling in Practice
Physics-based Approximations
Surrogate Modeling using Variable-fidelity Models
An Introduction to Reduced Basis Methods
Reduced Basis Methods for Linear Static Reanalysis
Reduced Basis Methods for Reanalysis of Eigenvalue Problems
Reduced Basis Methods for Nonlinear Problems
Frameworks for Design Space Exploration
Managing Surrogate Models in Optimization
Trust-region Methods
The Space Mapping Approach
Surrogate-assisted Optimization using Global Models
Managing Surrogate Models in Evolutionary Algorithms
Concluding Remarks
Design in the Presence of Uncertainty
Uncertainty Modeling and Representation
Uncertainty Propagation
Taguchi Methods
The Welch-Sacks Method
Design for Six
Decision-theoretic Formulations
Reliability-based Optimization
Robust Design using Information-gap Theory
Evolutionary Algorithms for Robust Design
Concluding Remarks
Architectures for Multidisciplinary Optimization
Preliminaries
Fully Integrated Optimization (FIO)
System Decomposition and Optimization
Simultaneous Analysis and Design (SAND)
Distributed Analysis Optimization Formulation
Collaborative Optimization
Concurrent Subspace Optimization
Coevolutionary Architectures
Case Studies
A Problem in Satellite Design 391
A Problem in Structural Dynamics
Initial Passive Redesign in Three Dimensions
A Practical Three-dimensional Design
Active Control Measures
Combined Active and Passive Methods
Robustness Measures
Adjoint-based Approaches
Airfoil Section Design
Analysis Methods
Drag-estimation Methods
Calculation Methods Adopted
Airfoil Parameterization
Multiobjective Optimization
Aircraft Wing Design - Data Fusion between Codes 447
Introduction
Overall Wing Design
An Example and Some Basic Searches
Direct Multifidelity Searches
Response Surface Modeling
Data Fusion
Conclusions
Turbine Blade Design (I) - Guide-vane SKE Control
Design of Experiment Techniques, Response Surface Models and Model Refinement
Initial Design
Seven-variable Trials without Capacity Constraint
Twenty-one-variable