"This report presents the multiobjective optimization methodology suitable to the preliminary design of large scale aircraft structures. The algorithm is based on generalized compound scaling techniques to reach the intersection of multiple functions. Multiobjective functions are treated similar to the behavior constraints by generating pseudo targets on objectives. This algorithm is very efficient due to the fact that it does not solve many single objective optimization problems in reaching the Pareto set. The Pareto set gives several optimum solutions, and the designer has to use additional decision criteria in selecting the best design. In this work a reliability index based concept is used as the decision criterion. System reliability o...
This thesis discusses a methodology for probabilistic design optimization of aircraft structures sub...
The need of improvements in engineering designs especially with composite materials is nowadays a ma...
This study demonstrates advances in multiobjective optimization, supporting a robustness study of a ...
A generalized optimality criterion method consisting of a dual problem solver combined with a compou...
In this article, a design methodology for complex composite aircraft structures is presented. The de...
Industry-relevant multidisciplinary design and optimization (MDO) processes engage numerous computat...
The aerospace engineering typically deals with multidisciplinary complex systems, and narrow margins...
This work focuses on the implementation of a complex multidisciplinary computational environment for...
Innovative aircraft design studies have noted that uncertainty effects could become significant and ...
Innovative aircraft design studies have noted that uncertainty effects could become significant and ...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
One of the core ideas in this thesis is to determine how single- and multiobjective design optimizat...
Designing an airframe is a complex process as it requires knowledge from multiple disciplines such a...
This paper presents a Multidisciplinary Design Optimization (MDO) method to minimize the Direct Oper...
Designing an airframe is a complex process as it requires knowledge from multiple disciplines such a...
This thesis discusses a methodology for probabilistic design optimization of aircraft structures sub...
The need of improvements in engineering designs especially with composite materials is nowadays a ma...
This study demonstrates advances in multiobjective optimization, supporting a robustness study of a ...
A generalized optimality criterion method consisting of a dual problem solver combined with a compou...
In this article, a design methodology for complex composite aircraft structures is presented. The de...
Industry-relevant multidisciplinary design and optimization (MDO) processes engage numerous computat...
The aerospace engineering typically deals with multidisciplinary complex systems, and narrow margins...
This work focuses on the implementation of a complex multidisciplinary computational environment for...
Innovative aircraft design studies have noted that uncertainty effects could become significant and ...
Innovative aircraft design studies have noted that uncertainty effects could become significant and ...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
One of the core ideas in this thesis is to determine how single- and multiobjective design optimizat...
Designing an airframe is a complex process as it requires knowledge from multiple disciplines such a...
This paper presents a Multidisciplinary Design Optimization (MDO) method to minimize the Direct Oper...
Designing an airframe is a complex process as it requires knowledge from multiple disciplines such a...
This thesis discusses a methodology for probabilistic design optimization of aircraft structures sub...
The need of improvements in engineering designs especially with composite materials is nowadays a ma...
This study demonstrates advances in multiobjective optimization, supporting a robustness study of a ...