Pingjian Ming

Sino-French Institute of Nuclear Engineering and Technology at Sun Yat-sen University 

E-mail: mingpj@mail.sysu.edu.cn

Dr. Pingjian Ming is Professor in Sino-French Institute of Nuclear Engineering and Technology at Sun Yat-sen University. He received B Sc and Ph.D at Harbin Engineering University in 2003 and 2008, respectively. His research interests are mainly engaged in fundamentals of multiphase flow and heat mass transfer and related applications in thermal and power engineering and nuclear thermal hydraulic engineering. He was the recipient of several important awards, including national defense science and technology award. Ming has been serving as the director of Reactor Thermal Fluid Mechanics  Branch of Chinese Nuclear Society and member of Multiphase flow Professional Committee of Chinese Society of Engineering Thermophysics.

Title：A scalable, robust parallel CFD algorithm on handling of sliding non-conformal interfaces

Abstract:Handling of non-conformal interfaces communication is one of the challenges from which the parallelization of multi-zone unstructured grids technique suffers. Especially for dynamic mesh simulation, changing dynamic communication patterns induced by the grids relative motion requires data to be transferred across discrete non-conformal interfaces is necessary for every time step. In this context, this paper presents a scalable and robust parallel algorithm to construct a supermesh, which has no constraints on the domain partition procedure and is adapted to complex practical engineering simulation. In this work, the interface neighbor-identification is construct by testing the overlaps between minimum interface patch bounding boxes, through which the necessary data of interfaces grid required by the supermesh generating procedure is exchanged between processors sharing a spatial interface. Besides, a unified cell-based communication map adapting to parallelized matrixes solvers is dynamically reconstructed by assembling both inner-boundary communication map and interface communicate map, which improves robustness and scalability of the parallelized sliding-mesh method. All methodologies are integrated and implemented for parallel computation obtaining a good scalability and computational efficiency.