Modelling the temporal evolution of a reduced combustion chemical system with an artificial neural network

被引：115

作者：

Blasco, JA ^{[1
]}

Fueyo, N ^{[1
]}

Dopazo, C ^{[1
]}

Ballester, J ^{[1
]}

机构：

[1] CPS LITEC, Fluid Mech Grp, Zaragoza 50015, Spain

来源：

COMBUSTION AND FLAME | 1998年 / 113卷 / 1-2期

关键词：

D O I：

10.1016/S0010-2180(97)00211-3

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The present work introduces a way of embedding a combustion chemical system in a neural network, in such a way that it can be used, with considerable CPU time and RAM memory savings, in fluid-flow-simulation codes. The system is composed of four neural networks, with three of them simulating the evolution of the reactive species and one providing density and temperature as a function of composition. The performance in terms of accuracy of the networks is assessed by comparison with the results of the direct integration of the thermochemical system for a large number of random samples. Error measurements are reported, and sample evolutions of the chemical system with both methods are compared. It can be summarized that the results of this exercise are satisfactory, and the CPU-time and memory savings encouraging. (C) 1998 by The Combustion Institute.

引用

页码：38 / 52

页数：15

共 15 条

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BARITAUD T, 1996, DIRECT NUMERICAL SIM

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