论文标题
物理注入的降低空气载荷的订单模型，用于高超音速弹性分析
Physics-Infused Reduced Order Modeling of Aerothermal Loads for Hypersonic Aerothermoelastic Analysis
论文作者
论文摘要
本文介绍了一种新型物理学的还原级建模（PIROM）方法，以有效，准确地建模非线性动力学系统。 PIROM由代表已知物理过程的基于物理学的分析组件以及代表未知物理过程的数据驱动的动态组件组成。 PIROM应用于高超音速气体弹性（ATE）分析的空气热载荷模型，并被发现通过两个三个数量级加速了ATE模拟，同时维持与基于计算流体动力学（CFD）的高效率溶液相当的准确性。此外，基于PIROM的求解器是针对常规的Pod-Kriging替代模型的基准测试的，并且发现在广泛的工作条件下以及存在复杂的结构边界条件下，后者的准确性，可推广性和采样效率显着优于后者的准确性，可推广性和采样效率。最后，通过一项有关边界条件和肋骨支持对兼容和热传导面板结构的ATE响应的影响的参数研究证明了基于PIROM的ATE求解器。结果不仅揭示了有关边界条件的春季限制的戏剧性快速行为，而且还证明了pirom的潜力，促进了快速，准确的设计和优化多学科系统（例如超音速结构）。
This paper presents a novel physics-infused reduced-order modeling (PIROM) methodology for efficient and accurate modeling of non-linear dynamical systems. The PIROM consists of a physics-based analytical component that represents the known physical processes, and a data-driven dynamical component that represents the unknown physical processes. The PIROM is applied to the aerothermal load modeling for hypersonic aerothermoelastic (ATE) analysis and is found to accelerate the ATE simulations by two-three orders of magnitude while maintaining an accuracy comparable to high-fidelity solutions based on computational fluid dynamics (CFD). Moreover, the PIROM-based solver is benchmarked against the conventional POD-kriging surrogate model, and is found to significantly outperform the accuracy, generalizability and sampling efficiency of the latter in a wide range of operating conditions and in the presence of complex structural boundary conditions. Finally, the PIROM-based ATE solver is demonstrated by a parametric study on the effects of boundary conditions and rib-supports on the ATE response of a compliant and heat-conducting panel structure. The results not only reveal the dramatic snap-through behavior with respect to spring constraints of boundary conditions, but also demonstrates the potential of PIROM to facilitate the rapid and accurate design and optimization of multi-disciplinary systems such as hypersonic structures.
