Crack propagation model establishment method and equipment based on data driving and medium

The crack expansion model was constructed through a data-driven method, and the model parameters were optimized using gene crossover and mutation techniques, which solved the problem of insufficient generalization of the existing model, and obtained a simple and general crack expansion model, which improved the application and interpretation of the model sex.

CN119150701AActive Publication Date: 2024-12-17BEIHANG UNIV +1
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
CN202411629082.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-15
Publication Date
2024-12-17
Estimated Expiration
2044-11-15

AI Technical Summary

Technical Problem

The existing crack propagation model is not generalized when reflecting crack type, loading method, material state and environmental conditions, and the parameters lack clear physical significance, which makes it difficult to apply and it is difficult to build a simple and universal unity. Model.

Method used

Using a data-driven method, by obtaining multi-source crack propagation experimental data, the initial model population is constructed and gene cross-border and mutation technology is used to optimize model parameters to screen out the optimal crack propagation model to ensure the simplicity and versatility of the model.

Benefits of technology

Learning based on multi-source data is realized, and a simple and unified crack propagation model that meets the needs of engineering applications is derived, which improves the generalization ability of the model and the physical interpretability of the parameters, and reduces the difficulty of application.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119150701A_ABST
    Figure CN119150701A_ABST
Patent Text Reader

Abstract

The invention discloses a crack propagation model building method and device based on data driving and a medium, and relates to the field of aviation structure fatigue safety design, and the method comprises the steps: obtaining multi-source crack propagation experiment data, and carrying out the data classification; obtaining an initial crack propagation model containing an unknown correction term; randomly constructing a plurality of function expression forms of the primary function in the correction term according to a preset operator and a terminator; substituting the constructed primary function into the initial crack propagation model to obtain an alternative crack propagation model; forming an initial crack propagation model population by using the alternative crack propagation models; and carrying out evolution on individuals in the initial crack propagation model population by adopting gene crossover and mutation behaviors, fitting model parameters of each individual according to the crack propagation experimental data of each category, and calculating an evaluation index of each individual so as to screen out an optimal crack propagation model. According to the method, reliable learning can be carried out based on multi-source crack propagation experimental data to obtain a unified crack propagation model meeting requirements.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Crack growth rate prediction method and system, storage medium and computing equipment

    CN115048867A

  • Corrosion fatigue crack propagation model parameter optimization method, system, equipment and medium

    CN117875179A

  • Fatigue life prediction method

    CN118095017A

  • Proxy-assisted evolutionary algorithm-based airfoil optimization method and apparatus

    WO2021142916A1

  • Method for calculating spherical shell surface three-dimensional crack propagation fatigue life

    WO2022121203A1