Coupling of the Fast Boundary-Domain Integral Method with the Stochastic Collocation Method for Fluid Flow Simulations

Abstract

In this paper we present the development of a Fast Boundary-Domain Integral Method for the solution of fluid flow and heat transfer problems. Adaptive cross approximation of integral matrices is performed on a hierarchically decomposed matrix structure. We couple the developed flow simulation algorithm with stochastic modelling of input parameters. In order to assess the influence of input parameters on the simulation results, we employ the stochastic collocation method as a wrapper around the deterministic code. We apply the developed numerical tool for the simulation of flow and heat transfer of nanofluids.

Publication
WIT Transactions on Engineering Sciences, Boundary Elements and other Mesh Reduction Methods XLII, Volume 126
Mario Cvetković
Mario Cvetković
Associate Professor | Department of Electrical Engineering Fundamentals

Associate professor at FESB in Split, with a research focus on numerical modeling including finite element and moment methods, computational bioelectromagnetics and heat transfer related phenomena. He is involved in IEEE’s ICES Technical Committee 95, various international projects and is committed to advancing both knowledge and practical applications in electromagnetic safety and biomedical engineering.