Adaptive time stepping can significantly enhance the accuracy and the efficiency of computational methods. In this work, a time-integration strategy with adaptive time step control is proposed for large-eddy simulation of turbulent flows. The algorithm is based on Runge-Kutta methods and consists in adjusting the time-step size dynamically to ensure that the numerical dissipation rate due to the temporal scheme is smaller than the molecular and subgrid-scale ones within a desired tolerance. The effectiveness of the method, as compared to standard CFL-like criteria, is assessed by large-eddy simulations of the three-dimensional Taylor-Green Vortex.
A MINIMUM-DISSIPATION TIME-INTEGRATION STRATEGY FOR LARGE-EDDY SIMULATION OF INCOMPRESSIBLE TURBULENT FLOWS / Capuano, Francesco; Benjamin, Sanderse; DE ANGELIS, ENRICO MARIA; Coppola, Gennaro. - (2017), pp. 2311-2323. (Intervento presentato al convegno AIMETA 2017 - XXIII Congresso - Associazione Italiana di Meccanica Teorica e Applicata tenutosi a Salerno nel 4-7 settembre 2017).
A MINIMUM-DISSIPATION TIME-INTEGRATION STRATEGY FOR LARGE-EDDY SIMULATION OF INCOMPRESSIBLE TURBULENT FLOWS
CAPUANO, FRANCESCO;DE ANGELIS, ENRICO MARIA;COPPOLA, GENNARO
2017
Abstract
Adaptive time stepping can significantly enhance the accuracy and the efficiency of computational methods. In this work, a time-integration strategy with adaptive time step control is proposed for large-eddy simulation of turbulent flows. The algorithm is based on Runge-Kutta methods and consists in adjusting the time-step size dynamically to ensure that the numerical dissipation rate due to the temporal scheme is smaller than the molecular and subgrid-scale ones within a desired tolerance. The effectiveness of the method, as compared to standard CFL-like criteria, is assessed by large-eddy simulations of the three-dimensional Taylor-Green Vortex.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
