Transient thermal state online evaluation method and device based on reduced-order model, and medium

Abstract

The invention relates to a transient thermal state online evaluation method and device based on a reduced-order model, and a medium. The method is used for thermal coupling state evaluation of a complex structure in industrial equipment, and the evaluation method comprises the following steps: firstly, establishing a parameterized numerical model for operation parameters of the industrial equipment structure in an offline stage; then obtaining different types of data sets in the thermodynamic analysis process through parameterized numerical simulation, and carrying out feature analysis and extraction; and finally, establishing a complete reduced-order simulation model based on a finite element discrete model, and performing online correction and state evaluation of working condition parameters in combination with sensor measurement data in an online stage. Compared with the prior art, the invention has the advantages that various physical states of the transient nonlinear thermal coupling problem can be quickly and accurately obtained, and quick data analysis and theoretical support can be provided for state evaluation of an industrial equipment structure.

Description

technical field [0001] The invention relates to a transient thermal-mechanical coupled state evaluation method, in particular to an online evaluation method, equipment and medium for a transient thermal state based on a reduced-order model. Background technique [0002] During the operation of industrial equipment, the extreme thermal environment and high-intensity mechanical loads bring severe challenges to the structural strength assessment of the equipment structure. On the one hand, due to the large temperature gradient and uneven distribution of the temperature field in the structure due to the complex high-temperature thermal environment, its thermodynamic properties and material properties have changed significantly, such as its thermal conductivity (λ), specific heat capacity (c), Young's modulus (E), Poisson's ratio (μ) and thermal expansion coefficient (a) and other key thermal parameters have changed significantly, which introduces complex material nonlinear probl...

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Problems solved by technology

However, the numerical integration phase tends to consume more computational resources than the numerical solution phase

On the one hand, multiple numerical integrations in the process of finite element thermal-mechanical coupling analysis are solved under the global discrete grid, and the large-scale discrete grid of more complex industrial equipment requires more computing resources

On the other hand, due to the nonlinear problem of materials, in the thermal-mechanical coupling analysis, the updated physical field needs to continuously update the corresponding material parameters, and the nonlinear iterative solution format will require more computing resources and time consumption. to higher requirements

Therefore, the existing improvement schemes have not fundamentally improved the calculation efficiency of transient nonlinear thermal-mechanical coupling analysis based on the finite element discrete format, and cannot provide fast and accurate thermal state assessment for complex structures of industrial equipment.

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