Combustion chamber structure parameter design optimization method and device

By establishing a surrogate model and genetic algorithm in the combustion chamber design, the combustion chamber parameters are quickly optimized, solving the multi-objective optimization problem caused by large computational load and complex modeling in the existing technology, and realizing efficient thermoacoustic oscillation control under complex operating conditions.

CN121615397APending Publication Date: 2026-03-06TSINGHUA UNIVERSITY +1
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Patent Information

Application Number
CN202511722991.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-21
Publication Date
2026-03-06

AI Technical Summary

Technical Problem

Existing technologies in combustion chamber design suffer from high computational demands, complex modeling, or sensitivity to boundary conditions, making it difficult to achieve multi-objective optimization quickly and cost-effectively. In particular, they struggle to effectively control thermoacoustic oscillations under complex operating conditions, thus limiting their application effectiveness.

Method used

By acquiring the basic structure and operating conditions of the combustion chamber, selecting the parameters to be optimized and determining their value range and constraints, establishing a surrogate model, using the modal growth rate as the optimization objective, and combining three-dimensional finite element analysis and genetic algorithm, the design parameters of the combustion chamber are iteratively optimized, and the modal frequency and growth rate of the combustion chamber are established, thus achieving rapid and low-cost multi-objective optimization.

Benefits of technology

It can quickly and cost-effectively obtain optimal design parameters under limited computing or experimental resources, simplify the experimental process, reduce the cost of experiments or large eddy simulations, improve the accuracy of thermoacoustic oscillation prediction and the robustness of design schemes, and is suitable for efficient prediction of multi-parameter, multi-dimensional combustion chamber thermoacoustic oscillation modes.

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Abstract

The invention relates to the technical field of electrical digital data processing, in particular to a combustion chamber structure parameter design optimization method and device.The method comprises the steps that the modal growth rate serves as an optimization target, and observation points are selected in a design space; acquiring a time-average temperature field of each observation point, acquiring dynamic response characteristics of flame under an operation condition to obtain modal frequency and growth rate of the combustion chamber, and establishing an agent model by referring to an optimization target; and based on the agent model, selecting an acquisition function to obtain a point with the maximum value of the function in the design space as a next sampling point so as to obtain a new modal frequency and growth rate until iterative convergence, and determining an optimal design parameter based on the converged agent model. Therefore, the problems that due to the defects of large calculation amount, complex modeling or sensitivity to boundary conditions and the like existing in related technologies, multi-objective optimization with the aim of controlling thermo-acoustic oscillation is difficult to achieve quickly at low cost, and the application effect of the method under the complex working conditions is limited are solved.
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