A fast uncertainty quantification methodology and sampling technique for joint probability distribution of the Arrhenius rate expression: a case study applied to H2/CO kinetic mechanism

IF 1.9 4区工程技术 Q4 ENERGY & FUELS

Combustion Theory and Modelling Pub Date : 2024-03-12 DOI:10.1080/13647830.2024.2326413

Krunal Panchal, Vaisakh Vasudevan, Sivaram Ambikasaran, Krithika Narayanaswamy

引用次数: 0

Abstract

This work proposes a fast, novel, mathematically robust, and elegant unconstrained Method of Uncertainty Quantification (MUQ) for the temperature-dependent Arrhenius rate constant using Cholesky De...

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阿伦尼乌斯速率表达式联合概率分布的快速不确定性量化方法和采样技术：应用于 H2/CO 动力机制的案例研究

这项研究提出了一种快速、新颖、数学上稳健且优雅的无约束不确定性量化方法（MUQ），利用 Cholesky De...

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来源期刊

Combustion Theory and Modelling 工程技术-工程：化工

CiteScore

3.00

自引率

7.70%

发文量

审稿时长

6 months

期刊介绍： Combustion Theory and Modelling is a leading international journal devoted to the application of mathematical modelling, numerical simulation and experimental techniques to the study of combustion. Articles can cover a wide range of topics, such as: premixed laminar flames, laminar diffusion flames, turbulent combustion, fires, chemical kinetics, pollutant formation, microgravity, materials synthesis, chemical vapour deposition, catalysis, droplet and spray combustion, detonation dynamics, thermal explosions, ignition, energetic materials and propellants, burners and engine combustion. A diverse spectrum of mathematical methods may also be used, including large scale numerical simulation, hybrid computational schemes, front tracking, adaptive mesh refinement, optimized parallel computation, asymptotic methods and singular perturbation techniques, bifurcation theory, optimization methods, dynamical systems theory, cellular automata and discrete methods and probabilistic and statistical methods. Experimental studies that employ intrusive or nonintrusive diagnostics and are published in the Journal should be closely related to theoretical issues, by highlighting fundamental theoretical questions or by providing a sound basis for comparison with theory.