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Shape optimization for drag reduction in linked bodies using evolution strategies

机译:使用演化策略优化形状以减少链接体的阻力

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We present results from the shape optimization of linked bodies for drag reduction in simulations of incompressible flow at moderate Reynolds numbers. The optimization relies on the covariance matrix adaptation evolution strategy (CMA-ES) and the flow simulations use vortex methods with the Brinkman penalization to enforce boundary conditions in complex bodies. We exploit the inherent parallelism of CMA-ES, by implementing a multi-host framework which allows for the distribution of the expensive cost function evaluations across parallel architectures, without being limited to one computing facility. This study repeats in silico for the first time Ingo Rechenberg's pioneering wind tunnel experiments for drag reduction that led to the inception of evolution strategies. The simulations confirm that the results of these experimental studies indicate a flat plate is not the optimal solution for drag reduction in linked bodies. We present the vorticity field of the flow and identify the governing mechanisms for this drag reduction by the slightly corrugated linked plate configuration.
机译:我们提出了在中等雷诺数下不可压缩流的模拟中用于减少阻力的连接体形状优化的结果。优化过程依赖于协方差矩阵适应性进化策略(CMA-ES),流模拟使用带有Brinkman罚分的涡旋方法在复杂物体中施加边界条件。我们通过实现多主机框架来利用CMA-ES固有的并行性,该框架允许在并行体系结构中分布昂贵的成本函数评估,而不仅限于一个计算设施。这项研究首次在计算机上重复了Ingo Rechenberg的开创性风洞减少风阻实验,这导致了进化策略的产生。仿真结果表明,这些实验研究的结果表明,平板不是减小链节中阻力的最佳解决方案。我们介绍了流动的涡流场,并确定了通过略微波纹状的连接板配置来减少阻力的控制机制。

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