A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes

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