An integrated co-dact and adaptive analytical jacobian (Aaj) method for efficient and robust modeling of complex combustion chemistry

Weiqi Sun, Yiguang Ju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An adaptive analytical Jacobian (AAJ) method has been developed by integrating the correlated dynamic adaptive chemistry and transport (CO-DACT) method with an analytical Jacobian method for efficient and stable chemical integrations. The CO-DACT method can produce locally reduced chemiscal kinetics on-the-fly with negligible computational cost even for a large chemical kinetic model. Based on the locally reduced chemical kinetics, the analytical Jacobian method with sparse matrix solver is applied to integrate the ordinary differential equation (ODE) system with a reduced Jacobian matrix. The performances of the proposed AAJ method are compared with a benchmarked hybrid multi-timescale (HMTS) method. The results show that the AAJ method is accurate and stable. It and can accelerate the overall computation with much larger integration time steps.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-13
Number of pages13
ISBN (Print)9781624106095
StatePublished - 2021
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period1/11/211/15/21

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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