A community-reaction network reduction (CNR) approach is presented for mechanism reduction on the basis of a network-based community detection technique, a concept related to pre-equilibrium in chemical kinetics. In this method, the detailed combustion mechanism is first transformed into a weighted network, in which communities of species that have dense inner connections under the critical ignition conditions are identified. By analyzing the community partitions in different regions, we determine the effective functional groups and driving processes. Then, a skeletal model for the overall mechanism is deduced according to the network centrality data, including transition pathway identification and reaction-path flux. The CNR method is illustrated on the hydrogen autoignition system which has been extensively investigated, and a new reduced mechanism involving seven processes is proposed. Dynamics simulations employing the present CNR model show that the computed ignition time and distribution of major species on a wide range of temperature and pressure conditions are in accord with the experiments and results from other methods.
|Original language||English (US)|
|Journal||Journal of Chemical Information and Modeling|
|State||Accepted/In press - 2022|
Bibliographical noteFunding Information:
This work was supported by the Natural Science Foundation of China Program (grant numbers 91841301 and 21773158).
© 2022 American Chemical Society.
- Chemical Phenomena
PubMed: MeSH publication types
- Research Support, Non-U.S. Gov't
- Journal Article