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.
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
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.
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.
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.
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Abstract
Citation Information
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