A new subspace optimization method for performing aero-structural design is introduced. The method relies on a semi-analytic adjoint approach to the sensitivity analysis that includes post-optimality sensitivity information from the structural optimization subproblem. The resulting coupled post-optimality sensitivity (CPOS) approach is used to guide a gradient-based optimization algorithm. The new approach simplifies the system-level problem, thereby reducing the number of calls to the aerodynamics solver. The aero-structural optimization of an aircraft wing is carried out, and it is shown that the proposed method results in a problem equivalent to the conventional approach. The new method is also shown to reduce both the computational time...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
This paper provides a new improved multidisciplinary optimization algorithm with better performance ...
AbstractThis paper addresses the development of a multidisciplinary optimization procedure using an ...
In order to solve a multi-disciplinary optimization problem with strongly coupled disciplines, like ...
In the context of gradient-based optimization techniques for multidisciplinary problems an efficient...
In the context of gradient-based optimization techniques for multidisciplinary problems an efficient...
Efficient optimization algorithms are required to reduce the computational costs of Multidisciplinar...
A new integrated aero-structural design method for aerospace vehicles is presented. The approach com...
In the aircraft design process, several flight conditions that cover the flight envelop have to be c...
Over the past decade, profound attention was given to exploring the benefits of engaging numerical m...
In the aircraft design process, several flight conditions that cover the flight envelop has to be c...
This paper develops and implements a framework for the computation of cou-pled aero-structural sensi...
This report addresses the development of a multidisciplinary optimization procedure using an efficie...
Multi-disciplinary design optimization (MDO) is a field that has gained traction in recent years. It...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
This paper provides a new improved multidisciplinary optimization algorithm with better performance ...
AbstractThis paper addresses the development of a multidisciplinary optimization procedure using an ...
In order to solve a multi-disciplinary optimization problem with strongly coupled disciplines, like ...
In the context of gradient-based optimization techniques for multidisciplinary problems an efficient...
In the context of gradient-based optimization techniques for multidisciplinary problems an efficient...
Efficient optimization algorithms are required to reduce the computational costs of Multidisciplinar...
A new integrated aero-structural design method for aerospace vehicles is presented. The approach com...
In the aircraft design process, several flight conditions that cover the flight envelop have to be c...
Over the past decade, profound attention was given to exploring the benefits of engaging numerical m...
In the aircraft design process, several flight conditions that cover the flight envelop has to be c...
This paper develops and implements a framework for the computation of cou-pled aero-structural sensi...
This report addresses the development of a multidisciplinary optimization procedure using an efficie...
Multi-disciplinary design optimization (MDO) is a field that has gained traction in recent years. It...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
This paper provides a new improved multidisciplinary optimization algorithm with better performance ...