期刊
PROCEEDINGS OF THE COMBUSTION INSTITUTE
卷 35, 期 -, 页码 581-587出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.proci.2014.05.113
关键词
Chemical kinetics; Sparse matrix; Preconditioner; Ordinary differential equation
资金
- Advanced Combustion Engine Team Leader for the U.S. Department of Energy Vehicle Technologies Office
The adaptive preconditioners developed in this paper substantially reduce the computational cost of integrating large kinetic mechanisms using implicit ordinary differential equation (ODE) solvers. For a well-stirred reactor, the speedup of the new method is an order of magnitude faster than recent approaches based on direct, sparse linear system solvers. Moreover, the new method is up to three orders of magnitude faster than traditional implementations of the ODE solver where the Jacobian information is generated automatically via finite differences, and the factorization relies on standard, dense matrix operations. Unlike mechanism reduction strategies, the adaptive preconditioners do not alter the underlying system of differential equations. Consequently, the new method achieves its performance gains without any loss of accuracy to within the local error controlled by the ODE solver. Such speedup allows higher fidelity mechanism chemistry to be coupled with multi-dimensional fluid dynamics simulations. (C) 2014 Published by Elsevier Inc. on behalf of The Combustion Institute.
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