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...
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Online Access: | http://dx.doi.org/10.1155/2018/5127393 |
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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 |
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1725608355738681344 |