为了研究航空煤油中正癸烷燃料的氧化和燃烧特性，减少机理规模，本文对其开展了化学反应动力学机理的系统简化。首先，采用基于反应类的全局敏感性分析法及路径敏感性分析法，结合产率分析法，识别正癸烷大分子子机理中的关键反应类并选出其中具有代表性的反应；其次，基于解耦法，将骨架子机理与C0-C3子机理耦合，形成正癸烷的初始骨架机理；最后，利用遗传算法在不确定度范围内针对点火延迟时间和燃料、CO、CO2摩尔浓度对燃料子机理的反应速率系数进行优化，提高骨架机理的准确性，最终得到一个包含48种组分和209个化学反应的正癸烷骨架机理。计算结果表明，该机理在较宽的工况范围内对正癸烷燃烧过程中层流燃烧速度、着火延迟时间与重要组分浓度的预测具有较高的准确性。

In order to study the oxidation and combustion characteristics of n-decane fuel in aviation kerosene and to reduce the scale of the mechanism, the kinetic mechanism of chemical reaction is systematically simplified. Firstly, reaction class-based global sensitivity analysis and path sensitivity analysis, combined with rate of production, were used to identify key reaction classes in the sub-mechanism of n-decane macromolecules and select representative reactions. Secondly, based on the decoupling method, the skeleton sub-mechanism is coupled with the C0-C3 sub-mechanism to form the initial skeleton mechanism of n-decane. Finally, according to the ignition delay time and the mole fraction of fuel, CO and CO2, genetic algorithm was used to optimize the reaction rate coefficients of the fuel sub-mechanism in the range of uncertainty, so as to improve the accuracy of the skeleton mechanism. Finally, a n-decane skeleton mechanism containing 48 species and 209 chemical reactions was obtained. The results show that the mechanism has high accuracy in predicting laminar flame speed, ignition delay time and concentration of important components in a wide range of operating conditions.

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