A Two-fidelity level approach for Marine Propeller Design

S. Gaggero, G. Vernengo, D. Villa
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引用次数: 1

Abstract

A Simulation Based Design Optimization method for marine propellers using a two-fidelity levels metamodel for global design space exploration and optimization is presented. Response surfaces are built using the co-Kriging approximation, i.e. a multi-output Gaussian process that combines large low-fidelity dataset with few, costly, high-fidelity data. The method is applied for the CFD-based shape optimization of the E779A propeller using, as fidelity levels, two different physical models for the propeller performances prediction, namely a Boundary Element Method (low-fidelity) and a RANSE solver (high-fidelity). Results demonstrate the feasibility of multi-objective, constrained, design procedures, like those involving marine propellers, using these multi-fidelity response surfaces. At the same time, the need of good correlations between low- and high- fidelity data feeding the surrogate models is highlighted as a requisite for robust and reliable predictions using these approximated methods.
船用螺旋桨设计的双保真度方法
提出了一种基于仿真的船用螺旋桨设计优化方法,该方法采用双保真度元模型进行全局设计空间探索和优化。响应面使用co-Kriging近似构建,即多输出高斯过程,将大量低保真数据集与少量,昂贵的高保真数据相结合。将该方法应用于E779A螺旋桨基于cfd的形状优化,采用边界元法(低保真度)和RANSE求解器(高保真度)两种不同的螺旋桨性能预测物理模型作为保真度。结果表明,使用这些多保真度响应面进行多目标、约束设计程序(如涉及船舶螺旋桨的设计程序)的可行性。同时,需要提供代理模型的低保真度和高保真度数据之间良好的相关性是使用这些近似方法进行稳健和可靠预测的必要条件。
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