论文标题
使用高保真流体结构互动模拟设计的原则设计方法
A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations
论文作者
论文摘要
高保真流体结构的相互作用模拟可能需要在数百个核心上运行很多天。当可能需要重复此类模拟时（例如，出于设计优化的目的），这在时间和经济考虑方面都会造成严重的负担。在本文中，我们根据（受限）贝叶斯优化（BO）提出策略，以减轻这种负担。 BO是一种基于高斯流程（GP）的数值优化技术，它能够有效地（对昂贵的FSI型号调用最少的调用）将使用黑匣子目标函数进行测量，从而收敛到一些全球最佳设计。在这项研究中，我们提出了一种原则性的设计演化，该演化从FSI模型验证转移到一系列桥梁模拟（使验证案例逐渐接近应用程序），以便我们可以确定水下，无人驾驶，自主车辆（UUAV）帆的材料特性。即使在选择几个设计参数，并且在尊重优化约束的同时，我们也能够使用少量的FSI模拟（最多十几个）实现快速收敛到最佳设计。
A high fidelity fluid-structure interaction simulation may require many days to run, on hundreds of cores. This poses a serious burden, both in terms of time and economic considerations, when repetitions of such simulations may be required (e.g. for the purpose of design optimization). In this paper we present strategies based on (constrained) Bayesian optimization (BO) to alleviate this burden. BO is a numerical optimization technique based on Gaussian processes (GP) that is able to efficiently (with minimal calls to the expensive FSI models) converge towards some globally optimal design, as gauged using a black box objective function. In this study we present a principled design evolution that moves from FSI model verification, through a series of Bridge Simulations (bringing the verification case incrementally closer to the application), in order that we may identify material properties for an underwater, unmanned, autonomous vehicle (UUAV) sail plane. We are able to achieve fast convergence towards an optimal design, using a small number of FSI simulations (a dozen at most), even when selecting over several design parameters, and while respecting optimization constraints.
