Multidisciplinary Design Optimization: State of the ArtNatalia M. Alexandrov, M. Yousuff Hussaini 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. |
Contents
A Multidisciplinary Framework for Preliminary Vehicle | 3 |
MDO for LargeScale Design | 22 |
Multilevel Methods for | 79 |
Approaches to MDO Which Support Disciplinary | 90 |
Multidisciplinary Optimization of MixedDiscrete Problems | 117 |
A Parallel Reduced Hessian SQP Method | 133 |
Multidisciplinary Optimization of the HighSpeed Civil | 153 |
Practical Aspects of Variable Reduction Formulations | 172 |
Observations Regarding Use of Advanced CFD Analysis | 263 |
Efficiency Improvement of Fluid Dynamics Simulation | 280 |
Asymptotically Consistent Gradients in Optimal Design | 303 |
A Statistical Method for Global Optimization | 315 |
Managing Approximation Models in Optimization | 330 |
VariableComplexity Response Surface Design | 348 |
BayesianValidated ComputerSimulation Surrogates | 368 |
Implementing an IPPD Environment | 395 |
A Concurrent Engineering Approach for Multidisciplinary | 189 |
The articles are loosely partitioned into sections by general category Inside each section | 197 |
ModelBased Partitioning in Optimal Design of Large | 209 |
Fast Solvers for MDO Problems | 227 |
Design Sensitivity Analysis of Nonlinear Structures | 243 |
| 407 | |
The Other Half of the MDO Equation | 432 |
Significance of Problem Structure in Chemical Processes | 448 |
Common terms and phrases
AAO formulation adjoint aerodynamic aeroelastic aeroservoelastic Aerospace AIAA AIAA Paper airfoil Analysis and Optimization application approach approximation calculations coefficients computational configuration constraints convergence coordination coupling decomposition defined derivatives design optimization design problem design process Design Sensitivity Analysis design space design variables developed discipline drag dynamic efficient Engineering evaluated feasible Figure finite element geometry global gradient Haftka implementation input integrated Jacobian Journal of Aircraft Lagrange multipliers loads matrix method minimize Multidisciplinary Analysis Multidisciplinary Design Multidisciplinary Design Optimization NAND NASA nonlinear nonlinear programming null space number of design objective function obtained optimal design optimization problem parallel parameters partitioning planform points prediction procedure processors programming quadratic reduced Hessian sensitivity equation sequential shape optimization simulation solution solve step structural optimization subproblem subspace optimization supersonic Support Problems surrogate system-level techniques trust-region uā update values vector vehicle wave drag weight wing
Popular passages
Page 407 - Decision-Based Design: A Contemporary Paradigm for Ship Design," Transactions. Society of Naval Architects and Marine Engineers (SNAME, Jersey City, New Jersey, 1990), 565-597.ā