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