Surrogate model-based optimization for mitigating thermoacoustic instability in a partially premixed swirl combustor

doi:10.1016/j.applthermaleng.2025.127969

Surrogate model-based optimization for mitigating thermoacoustic instability in a partially premixed swirl combustor

2025-08-20

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DOI：10.1016/j.applthermaleng.2025.127969

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• The surrogate-based optimization is integrated with the Helmholtz method. • A multi-objective optimization framework for CH4 and H2-blended fuel is developed. • A hybrid infill sampling criterion is proposed to reduce the sample size and cost. • The constrained NSGA-II algorithm is employed to capture the Pareto frontier.

Keywords:

surrogate-based optimization

Helmholtz method

multi-objective optimization

blended fuel

Pareto frontier

Surrogate model-based optimization for mitigating thermoacoustic instability in a partially premixed swirl combustor

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