Combustion kinetic model development using surrogate model similarity method

DOI10.1080/13647830.2018.1454607OpenAlexW2797035004MaRDI QIDQ5032130

Jiaxing Wang, Bin Yang, Shuang Li

Publication date: 16 February 2022

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

Full work available at URL: https://doi.org/10.1080/13647830.2018.1454607

zbMATH Keywords

experimental designHDMRmodel optimisationcombustion kinetic modelsurrogate model similarity

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76Mxx) Probabilistic methods, stochastic differential equations (65Cxx) General systems theory (93Axx)

Related Items (1)

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

Uses Software

• Cantera

Cites Work

• General foundations of high-dimensional model representations
• Bayesian experimental design: A review
• Markov chains for exploring posterior distributions. (With discussion)
• Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics
• Uncertainty quantification in chemical systems
• Heun functions and the energy spectrum of a charged particle on a sphere under a magnetic field and Coulomb force
• On the distribution of points in a cube and the approximate evaluation of integrals
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
• Efficient implementation of high dimensional model representations

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