Geometry parametrization for high-fidelity multidisciplinary optimization is an impor-tant and complex problem. We present a CAD-free geometry parametrization method using a free-from deformation volume approach. This approach yields several important advantages over other parametrization techniques, the most of important of which is the efficient computation of analytic derivatives for gradient-based optimization. A parallel, hybrid, algebraic-linear-elasticity mesh perturbation scheme which produces high quality perturbed meshes with low computational effort is also presented. We couple an Euler CFD solver with a finite-element model that uses fourth-order degenerate shell elements. As a demonstration problem, we perform the aerostructura...
A methodology for performing optimization on 3D unstructured grids based on the Euler equations is p...
A gradient-based aeroelastic shape optimization framework making use of a reduced or model to substi...
In the area of aircraft design, many studies about Multi Disciplinary Optimization (MDO) and Multi O...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83549/1/AIAA-2010-9231-250.pd
This thesis is motivated by the desire to discover fuel efficient aircraft concepts through explorat...
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
The growth of computer power and storage capacity allowed engineers to tackle engineering design as ...
Environmental and economic factors motivate the pursuit of more fuel-efficient aircraft designs. Aer...
This thesis presents new tools and techniques developed to address the challenging problem of high-f...
Generic wrap-around aerodynamic shape optimisation technology is presented, and ap-plied to a modern...
High-fidelity computational design tools have advanced considerably in the last few decades, but the...
Summarization: The purpose of this paper is the presentation of a technique to be integrated in a nu...
Advances in numerical optimization have raised the possibility that efficient and novel aircraft con...
This paper presents a multidisciplinary shape parameterization approach. The approach consists of tw...
A series of novel algorithms for performing aerostructural shape and topology optimization are intro...
A methodology for performing optimization on 3D unstructured grids based on the Euler equations is p...
A gradient-based aeroelastic shape optimization framework making use of a reduced or model to substi...
In the area of aircraft design, many studies about Multi Disciplinary Optimization (MDO) and Multi O...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83549/1/AIAA-2010-9231-250.pd
This thesis is motivated by the desire to discover fuel efficient aircraft concepts through explorat...
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is...
The growth of computer power and storage capacity allowed engineers to tackle engineering design as ...
Environmental and economic factors motivate the pursuit of more fuel-efficient aircraft designs. Aer...
This thesis presents new tools and techniques developed to address the challenging problem of high-f...
Generic wrap-around aerodynamic shape optimisation technology is presented, and ap-plied to a modern...
High-fidelity computational design tools have advanced considerably in the last few decades, but the...
Summarization: The purpose of this paper is the presentation of a technique to be integrated in a nu...
Advances in numerical optimization have raised the possibility that efficient and novel aircraft con...
This paper presents a multidisciplinary shape parameterization approach. The approach consists of tw...
A series of novel algorithms for performing aerostructural shape and topology optimization are intro...
A methodology for performing optimization on 3D unstructured grids based on the Euler equations is p...
A gradient-based aeroelastic shape optimization framework making use of a reduced or model to substi...
In the area of aircraft design, many studies about Multi Disciplinary Optimization (MDO) and Multi O...