Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test

Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate the effect of input parameters on model outpu...

Full description

Bibliographic Details
Main Authors: Shengqiang Lin, Ming Xie, Meng Wu, Weixing Zhou
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2018/5127393
id doaj-1538e75bbdd248c2a25a6595d6db1001
record_format Article
spelling doaj-1538e75bbdd248c2a25a6595d6db10012020-11-24T23:10:03ZengHindawi LimitedJournal of Chemistry2090-90632090-90712018-01-01201810.1155/2018/51273935127393Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity TestShengqiang Lin0Ming Xie1Meng Wu2Weixing Zhou3School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaAcademy of Fundamental and Interdisciplinary Sciences, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaAcademy of Fundamental and Interdisciplinary Sciences, Harbin Institute of Technology, Harbin, Heilongjiang 150001, ChinaGlobal sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate the effect of input parameters on model outputs. In this paper, a criterion for frequency selection to input parameter is proposed so that Fourier amplitude sensitivity test (FAST) method can evaluate the complex model with a low sample size. This developed FAST method can establish the relationship between the number of input parameters and sample size needed to measure sensitivity indices with high accuracy. The performance of this FAST method which can allow both the qualitative and quantitative analysis of complex systems is validated by a H2/air combustion model and a CH4/air combustion model. This FAST method is also compared with other GSA methods to illustrate the features of this FAST method. The results show that FAST method can evaluate the reaction systems with low sample size, and the sensitivity indices obtained from the FAST method can provide more important information which the variance-based GSA methods cannot obtain. FAST method can be a remarkably effective tool for the modelling and diagnosis of large chemical reaction.http://dx.doi.org/10.1155/2018/5127393
collection DOAJ
language English
format Article
sources DOAJ
author Shengqiang Lin
Ming Xie
Meng Wu
Weixing Zhou
spellingShingle Shengqiang Lin
Ming Xie
Meng Wu
Weixing Zhou
Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
Journal of Chemistry
author_facet Shengqiang Lin
Ming Xie
Meng Wu
Weixing Zhou
author_sort Shengqiang Lin
title Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
title_short Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
title_full Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
title_fullStr Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
title_full_unstemmed Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
title_sort global sensitivity analysis of large reaction mechanisms using fourier amplitude sensitivity test
publisher Hindawi Limited
series Journal of Chemistry
issn 2090-9063
2090-9071
publishDate 2018-01-01
description Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate the effect of input parameters on model outputs. In this paper, a criterion for frequency selection to input parameter is proposed so that Fourier amplitude sensitivity test (FAST) method can evaluate the complex model with a low sample size. This developed FAST method can establish the relationship between the number of input parameters and sample size needed to measure sensitivity indices with high accuracy. The performance of this FAST method which can allow both the qualitative and quantitative analysis of complex systems is validated by a H2/air combustion model and a CH4/air combustion model. This FAST method is also compared with other GSA methods to illustrate the features of this FAST method. The results show that FAST method can evaluate the reaction systems with low sample size, and the sensitivity indices obtained from the FAST method can provide more important information which the variance-based GSA methods cannot obtain. FAST method can be a remarkably effective tool for the modelling and diagnosis of large chemical reaction.
url http://dx.doi.org/10.1155/2018/5127393
work_keys_str_mv AT shengqianglin globalsensitivityanalysisoflargereactionmechanismsusingfourieramplitudesensitivitytest
AT mingxie globalsensitivityanalysisoflargereactionmechanismsusingfourieramplitudesensitivitytest
AT mengwu globalsensitivityanalysisoflargereactionmechanismsusingfourieramplitudesensitivitytest
AT weixingzhou globalsensitivityanalysisoflargereactionmechanismsusingfourieramplitudesensitivitytest
_version_ 1725608355738681344