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A mathematical method for predicting flammability limits of gas mixtures

机译:一种预测气体混合物可燃性限制的数学方法

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摘要

The relationship between flammability limits (FL) of gas mixtures and their molecular structures was studied in this research based on the quantitative structure-property relationship (QSPR) method. The genetic algorithm (GA) was used to select an optimal subset of descriptors which show a significant contribution to the properties. The external validation, which checking the stability and predictive capability of the obtained models, was focus of this study. Three different external validations were employed to build the models. Moreover, the applicability domain for the models was also defined. The selected descriptors and obtained models were then extended to predict the FL values of existing or new mixtures based only on mixtures composition and their molecular structures. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:基于定量结构性质关系(QSPR)方法,研究了气体混合物可燃性限制(FL)及其分子结构的关系。 遗传算法(GA)用于选择对该性质的显着贡献的最佳描述符子集。 检查所获得的模型的稳定性和预测能力的外部验证是本研究的焦点。 采用三种不同的外部验证来构建模型。 此外,还定义了模型的适用性域。 然后延伸所选择的描述符和获得的模型以仅仅基于混合物组合物及其分子结构的基于混合物的存在或新混合物的FL值。 (c)2020化学工程师机构。 elsevier b.v出版。保留所有权利。

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