Multidisciplinary aerospace design optimization: survey of recent developments
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Summary
This paper surveys recent publications in the field of aerospace, in which the interest in MDO has been particularly intense, and focuses on two interactions that have recently been pursued with vigour: the simultaneous optimization of structures and aerodynamics and the simultaneous optimize of structures with active control.
- Type
- article
- Published
- 1996-01-15
- Cited by
- 1,280
- References
- 341
- Access
- Open access
- OpenAlex
- https://openalex.org/W2057869439
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14106256
Keywords
Multidisciplinary approach, Multidisciplinary design optimization, Aerospace, Aerodynamics, Focus (optics)
References
- Genetic Algorithms for Placing Actuators on Space Structures
- General framework for decomposition analysis in optimal design
- Functional stability analysis of numerical algorithms
- Aircraft configuration optimization including optimized flight profiles
- Structural design using equilibrium programming
- On the sensitivity of complex, internally coupled systems
- Integrating aerodynamics and structures in the minimum weight design of a supersonic transport wing
- New approaches to optimization in aerospace conceptual design
- Supersonic cruise research aircraft structural studies: Methods and results
- Integrated structure/control design - Present methodology and future opportunities
- Foundations of Structural Optimization: A Unified Approach
- Optimum structural design
- The case for aerodynamic sensitivity analysis
- An Integrated Control/Structure Design Method using Multi-objective Optimization
- Dual methods and approximation concepts in structural synthesis
- A Bayesian approach to variable screening for modeling the IC fabrication process
- A Surrogate Approach to the Experimental Optimization of Multielement Airfoils
- Structural design studies of a supersonic cruise arrow wing configuration
- Multidisciplinary Optimization Methods for Aircraft Preliminary Design
- Collaborative optimization: an architecture for large-scale distributed design
Cited by
- Integration of knowledge based approach and multi-criteria optimization in engineering design
- Single and multi–objective UAV aerofoil optimisation via hierarchical asynchronous parallel evolutionary algorithm
- Fast Time Domain Simulation for Large-order Linear Time Invariant Systems
- Modelling and optimal design in railway applications
- Wing Shape Multidisciplinary Design Optimization
- Trim, Control, and Performance Effects in Variable-Complexity High-Speed Civil Transport Design
- Algorithmes hiérarchiques et stratégies de jeux pour l'optimisation multidisciplinaire Application à l'optimisation de la voilure d'un avion d'affaires. (Hierarchical algorithms and game strategies for multidisciplinary optimization Application to the optimization of a business aircraft wing)
- Automated sizing of a composite wing for the usage within a multidisciplinary design process
- A broad and narrow approach to interactive evolutionary design - An aircraft design example
- Integrated Modeling for Lightweight, Actuated Mirror Design
- The application of multi-attribute optimisation as a systems engineering tool in an automotive CAE environment
- Optimal Shape Design Of Aerodynamic Configurations: A Newton-Krylov Approach
- An Evidence Theoretic Approach to Design of Reliable Low-Cost UAVs
- MULTIPLE SURROGATES AND ERROR MODELING IN OPTIMIZATION OF LIQUID ROCKET PROPULSION COMPONENTS
- Multi-Objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using Hierarchical Asynchronous Parallel Evolutionary Algorithms
- Orthogonal-Array based Design Methodology for Complex, Coupled Space Systems
- MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: theoretical aspects (part 1)
- Multidisziplinäre Optimierung von Flügeln für Verkehrsflugzeuge mit Berücksichtigung der statischen Aeroelastizität
- VARIABLE-COMPLEXITY RESPONSE SURFACE APPROXIMATIONS FOR AERODYNAMIC PARAMETERS IN HSCT OPTIMIZATION
- Algorithms to identify pareto points in multi-dimensional data sets
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