Arranz Gonzalo, Ling Yuenong, Costa Sam, Goc Konrad, Lozano-Durán Adrián
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
The Boeing Company, Everett, 98204, WA, USA.
Commun Eng. 2024 Sep 7;3(1):127. doi: 10.1038/s44172-024-00278-1.
Computational fluid dynamics is an essential tool for accelerating the discovery and adoption of transformative designs across multiple engineering disciplines. Despite its many successes, no single approach consistently achieves high accuracy for all flow phenomena of interest, primarily due to limitations in the modeling assumptions. Here, we introduce a closure model for wall-modeled large-eddy simulation to address this challenge. The model, referred to as the Building-block Flow Model (BFM), rests on the premise that a finite collection of simple flows encapsulates the essential missing physics necessary to predict more complex scenarios. The BFM is designed to: (1) predict multiple flow regimes, (2) unify the closure model at solid boundaries and the rest of the flow, (3) ensure consistency with numerical schemes and gridding strategies by accounting for numerical errors, (4) be directly applicable to arbitrary complex geometries, and (5) be scalable to model additional flow physics in the future. The BFM is utilized to predict key quantities in five cases, including an aircraft in landing configuration, demonstrating similar or superior capabilities compared to previous state-of-the-art models. The design of BFM opens up new opportunities for developing closure models that can accurately represent various flow physics across different scenarios.
计算流体动力学是加速跨多个工程学科发现和采用变革性设计的重要工具。尽管它取得了许多成功,但由于建模假设的局限性,没有一种单一方法能始终如一地对所有感兴趣的流动现象实现高精度预测。在此,我们引入一种用于壁面建模大涡模拟的封闭模型来应对这一挑战。该模型被称为积木式流动模型(BFM),其前提是有限的一组简单流动封装了预测更复杂场景所需的基本缺失物理机制。BFM旨在:(1)预测多种流动状态;(2)统一固体边界处的封闭模型与流动的其余部分;(3)通过考虑数值误差确保与数值格式和网格策略的一致性;(4)直接适用于任意复杂几何形状;(5)可扩展以在未来对其他流动物理机制进行建模。BFM被用于预测五个案例中的关键量,包括处于着陆构型的飞机,与先前的最先进模型相比展示出相似或更优的能力。BFM的设计为开发能够准确表征不同场景下各种流动物理机制的封闭模型开辟了新机会。