Comprehensive influence of uncertainty propagation of chemical kinetic parameters on laminar flame speed prediction: a case study of dimethyl ether

DOI10.1080/13647830.2023.2169637OpenAlexW4318768060MaRDI QIDQ6046672

Pengzhi Wang, Unnamed Author, Yachao Chang, Shuai Huang, Ming Jia

Publication date: 6 September 2023

Published in: Combustion Theory and Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/13647830.2023.2169637

zbMATH Keywords

artificial neural networkuncertainty propagationlaminar flame speedlocal and global sensitivity analysischemical kinetic parameters

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Thermodynamics and heat transfer (80Axx)

Cites Work

• Efficient input-output model representations
• Sensitivity measures,anova-like Techniques and the use of bootstrap
• Probabilistic inference of reaction rate parameters from summary statistics
• Combustion kinetic model development using surrogate model similarity method
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