A parameter identification method for composite material curing deformation simulation model based on measured data

By using actual measured curing deformation data and data-driven prediction model, the problem of difficult to accurately obtain the parameters of the composite curing deformation simulation model is solved, which significantly improves the simulation prediction accuracy and reduces the calculation cost.

CN119476062BActive Publication Date: 2025-03-21NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Application Number
CN202510067273.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-16
Publication Date
2025-03-21
Estimated Expiration
2045-01-16

AI Technical Summary

Technical Problem

The prior art is difficult to accurately and efficiently obtain the simulation model parameters of composite curing deformation, resulting in low simulation prediction accuracy, affecting the service performance of the structure and increasing the risk of failure.

Method used

By obtaining the measured curing deformation data of composite parts, building a simulation model, determining the value range of the parameters to be identified, using the data-driven prediction model as the proxy model of the simulation model, and determining the parameter values ​​through iterative optimization methods to ensure that the gap between the simulation prediction data and the measured data reaches the goals set by the user.

Benefits of technology

It significantly improves the prediction accuracy of the curing deformation simulation model of composite parts, reduces calculation costs and time, and ensures the accuracy and reliability of simulation results.

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Abstract

The present invention discloses a composite material curing deformation simulation model parameter identification method based on measured data, which relates to the composite material curing simulation field. The specific process is: firstly, the measured curing deformation data of a group of composite material parts under the material system to be identified are obtained, and a data-driven prediction model from the parameters to be identified to the curing deformation is established for each of the parts using the simulation data, and then these data-driven models are used as proxy models of the curing deformation simulation model, and the values ​​of all the parameters to be identified are determined through large-scale search iterations, so that the gap between the proxy model prediction data and the measured curing deformation data meets the target set by the user; the composite material curing deformation simulation model parameter identification method based on measured data provided by the present invention can directly use the measured data to efficiently obtain the key parameters in the composite material curing deformation simulation model, thereby significantly improving the simulation accuracy of the curing deformation of the composite material parts.
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