The development of a multidisciplinary design optimization (MDO) architecture for high-fidelity fluid-structure interaction (FSI) problems is presented with preliminary application to a NACA 0009 3D hydrofoil in metal and carbon-fiber reinforced plastic materials. The MDO methodology and FSI benchmark solution are presented and discussed. The computational cost of the MDO is reduced by performing a design space dimensionality reduction beforehand and integrating into the architecture a variable level of coupling between disciplines, a surrogate model, and an adaptive sampling technique. The optimization is performed using a heuristic global derivative-free algorithm. The MDO method is demonstrated by application to an analytical test problem. Current stage of research includes preliminary test problem optimization, validation of the hydrofoil FSI against experimental data, and design space assessment and dimensionality reduction for the hydrofoil model.
Towards the high-fidelity multidisciplinary design optimization of a 3D composite material hydrofoil
Diez M;
2017
Abstract
The development of a multidisciplinary design optimization (MDO) architecture for high-fidelity fluid-structure interaction (FSI) problems is presented with preliminary application to a NACA 0009 3D hydrofoil in metal and carbon-fiber reinforced plastic materials. The MDO methodology and FSI benchmark solution are presented and discussed. The computational cost of the MDO is reduced by performing a design space dimensionality reduction beforehand and integrating into the architecture a variable level of coupling between disciplines, a surrogate model, and an adaptive sampling technique. The optimization is performed using a heuristic global derivative-free algorithm. The MDO method is demonstrated by application to an analytical test problem. Current stage of research includes preliminary test problem optimization, validation of the hydrofoil FSI against experimental data, and design space assessment and dimensionality reduction for the hydrofoil model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


