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A principled approach to design using high fidelity fluid-structure interaction simulations

机译：利用高保真流体结构交互模拟设计的原则方法

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摘要

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 working admissible 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 working admissible design, using a small number of FSI simulations (a dozen at most), even when selecting over several design parameters, and while respecting optimization constraints.
机译：高保真流体结构相互作用模拟可能需要数天才能运行数百个核心。这在可能需要对这种模拟的重复时，这在时间和经济考虑方面存在严重负担（例如，为了设计优化的目的）。在本文中，我们呈现了基于（约束）贝叶斯优化（Bo）的策略来缓解这种负担。 BO是基于高斯工艺（GP）的数值优化技术，能够有效地（对昂贵的FSI模型的呼叫最小）达到一些全球工作的可允许设计，如使用黑匣子目标函数所示。在这项研究中，我们提出了一个原理的设计演进，通过FSI模型验证来通过一系列桥梁模拟（逐步地逐步地接近应用程序），以便我们可以识别水下，无人驾驶，自主车辆的材料属性（uuav）帆飞机。我们能够通过少量FSI模拟（最多十几个）来实现快速收敛，即使在多个设计参数上选择，又在尊重优化约束的同时也是如此。

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