In this paper the relaxed, high-order, Multidimensional Optimal Order Detection (MOOD) framework is extended to the simulation of compressible multicomponent flows on unstructured meshes. The diffuse interface methods (DIM) paradigm is used that employs a five-equation model. The implementation is performed in the open-source high-order unstructured compressible flow solver UCNS3D. The high-order CWENO spatial discretisation is selected due to its reduced computational footprint and improved non-oscillatory behaviour compared to the original WENO variant. Fortifying the CWENO method with the relaxed MOOD technique has been necessary to further improve the robustness of the CWENO method. A series of challenging 2-D and 3-D compressible multicomponent flow problems have been investigated, such as the interaction of a shock with a helium bubble, and a water droplet, and the shock-induced collapse of 2-D and 3-D bubbles arrays. Such problems are generally very stiff due to the strong gradients present, and it has been possible to tackle them using the extended MOOD-CWENO numerical framework.

在本文中，将宽松的高阶多维最优阶检测 (MOOD) 框架扩展到模拟非结构化网格上的可压缩多分量流。使用采用五方程模型的扩散界面方法 (DIM) 范例。在开源高阶非结构化可压缩流求解器UCNS3D中执行实现. 选择高阶 CWENO 空间离散化是因为与原始 WENO 变体相比，它减少了计算占用空间并改进了非振荡行为。为了进一步提高 CWENO 方法的鲁棒性，有必要使用宽松的 MOOD 技术来强化 CWENO 方法。研究了一系列具有挑战性的 2-D 和 3-D 可压缩多分量流动问题，例如冲击与氦泡和水滴的相互作用，以及冲击引起的 2-D 和 3-D 坍缩气泡数组。由于存在强梯度，此类问题通常非常棘手，并且可以使用扩展的 MOOD-CWENO 数值框架来解决它们。