基于Walker本构模型的单晶涡轮叶片力学性能预测方法

By training the Walker constitutive model within the finite element calculation framework and using the equilibrium iteration method to obtain the stress-strain distribution, the problem of complex stress-strain analysis of single-crystal turbine blades was solved, enabling accurate prediction of their strength and life, and improving the evaluation of design and material properties.

CN117313264BActive Publication Date: 2026-07-17AERO ENGINE ACAD OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AERO ENGINE ACAD OF CHINA
Filing Date
2023-09-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies make it difficult to accurately analyze the complex stress-strain distribution and evolution process of single-crystal turbine blades using the Walker constitutive model, resulting in difficulties in predicting their strength and lifespan.

Method used

The Walker constitutive model is trained using numerical methods within the finite element calculation framework. Stress vector, strain vector, and state variable vector are obtained through equilibrium iteration to simulate the stress-strain distribution and evolution process of turbine blades, and predict their performance and lifespan.

Benefits of technology

It enables accurate analysis of stress and strain and life prediction of single-crystal turbine blades, improving the accuracy of design optimization and the evaluation of material properties.

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Abstract

本公开涉及基于Walker本构模型的单晶涡轮叶片力学性能预测方法,上述方法包括:获取待预测涡轮叶片在处于目标状态下t时刻对应的目标状态参数。将目标状态参数输入训练后的Walker本构模型中,获得t+T时刻对应的目标状态参数。其中,t和T均为正数;通过获取初始化的目标状态参数和预先设置的增量步对Walker本构模型中的应力向量和应变向量进行平衡迭代,在平衡迭代满足目标条件的情况下,获取Walker本构模型中的内变量,得到训练后的Walker本构模型。基于t时刻和t+T时刻分别对应的目标状态参数,获得待预测涡轮叶片的预测结果。本公开提供的方法通过平衡迭代的方式求解Walker本构模型的内变量,从而获得训练后的Walker本构模型,并进行涡轮叶片的应力应变分析和寿命预测。
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