FLUID-STRUCTURE INTERACTION BASED ON HPC MULTICODE COUPLING

作     者：Cajas, J. C. Houzeaux, G. Vazquez, M. Garcia, M. Casoni, E. Calmet, H. Artigues, A. Borrell, R. Lehmkuhl, O. Pastrana, D. Yanez, D. J. Pons, R. Martorell, J. 

作者机构：Barcelona Supercomp Ctr Barcelona 08034 Spain CSIC IIIA Bellaterra 08193 Spain Vortex Bladeless Madrid 28232 Spain Univ Llull IQS Sch Engn Barcelona 08017 Spain 

出 版 物：《SIAM JOURNAL ON SCIENTIFIC COMPUTING》 (工业与应用数学会科学计算杂志)

年 卷 期：2018年第40卷第6期

页      面：C677-C703页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：Consejo Nacional de Ciencia y Tecnologia (CONACyT  Mexico) [231588 290790] 

主　　题：fluid-structure interaction HPC multicode coupling 

摘      要：The fluid-structure interaction (FSI) problem has received great attention in the last few years, mainly because it is present in many physical systems, industrial applications, and almost every biological system. In the parallel computational field, outstanding advances have been achieved for the individual components of the problem, allowing, for instance, simulations around complex geometries at very high Reynolds numbers or simulations of the contraction of a beating heart. However, it is not an easy task to combine the advances of both fields, given that they have followed development paths in a rather independent way, and also because physical and numerical instabilities arise when dealing with two highly nonlinear partial differential equations. Nonetheless, in the last few years great advances in the coupled FSI field have been achieved, recognizing the most challenging problems to tackle and enabling a new generation of numerical simulations in aerodynamics, biological systems, and complex industrial devices. Keeping in mind that efficient parallel codes for the individual components already exist, this paper presents a framework to build a massively parallel FSI solver in a multicode coupling partitioned approach, with strong focus in the parallel implementation aspects and the parallel performance of the resulting application. The problem is casted in an algebraic form, and the main points of interest are the parallel environment needed to be able to transfer data among the codes, the location of the exchange surface, and the exchange of information among the parallel applications. The proposed framework has been implemented in the HPC multiphysics code Alya, and the multicode coupling is carried out running separated instances of this code. Two coupling algorithms with different acceleration schemes are revised, and three representative cases of different areas of interest showing the reach of the proposed framework are solved. Good agreement with litera