Prediction of Fatigue Crack Growth in Metal Materials via Spatiotemporal Neural Network

doi:10.16183/j.cnki.jsjtu.2024.090

Abstract

Abstract:

An image-driven model based on spatiotemporal neural network (STNN) is proposed for prediction of crack growth in aluminum alloy. Fatigue experiments with an initial edge crack angle of 0° and a 15.0% limit load level are designed, and images of specimen deformation are captured using digital image correlation (DIC) resulting in 5 511 frames of displacement field data used as datasets of STNN after interpolation, augmentation, and dimension-raising. Two neural netwroks, convolutional long short-term memory (Conv-LSTM) and SimVP, are employed to predict the fatigue crack growth, with their prediction accuracies further compared based on the structural similarity index measure (SSIM) and the root mean square error (RMSE). The results show that the SimVP neural network performs better in the test stage predicting fatigue crack growth rate and propagation path. This method provides a reference for damage tolerance analysis and determination of inspection intervals for structures.

Key words: spatiotemporal neural network (STNN), image driven, fatigue crack growth, fatigue experiment, digital image correlation (DIC)

CLC Number:

LIANG Jiaming, YU Yin, HU Yile. Prediction of Fatigue Crack Growth in Metal Materials via Spatiotemporal Neural Network[J]. Journal of Shanghai Jiao Tong University, 2026, 60(3): 511-521.

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试验件编号	N	数据集类型
E-0-15.0-1	2 099	训练集
E-0-15.0-2	1 795	验证集
E-0-15.0-3	1 617	测试集

模型	训练				验证				测试
模型	e_RMSE,u/ mm	e_RMSE,v/ mm	e_SSIM,u	e_SSIM,v	e_RMSE,u/ mm	e_RMSE,v/ mm	e_SSIM,u	e_SSIM,v	e_RMSE,u/ mm	e_RMSE,v/ mm	e_SSIM,u	e_SSIM,v
Conv-LSTM	0.110	0.060	0.834	0.942	0.236	0.180	0.667	0.875	0.143	0.076	0.798	0.918
SimVP	0.043	0.021	0.934	0.989	0.065	0.032	0.909	0.979	0.057	0.014	0.933	0.992

裂纹扩展阶段	周期数	裂纹长度真实值/mm	Conv-LSTM模型预测的裂纹长度/mm	Conv-LSTM模型预测误差/%	SimVP模型预测的裂纹长度/mm	SimVP模型预测误差/%
稳定扩展阶段	63 480	14.2	14.1	1.2	14.4	1.0
	63 540	14.4	14.2	1.4	14.4	0.0
	63 600	14.8	14.5	2.3	14.7	0.9
稳态撕裂的裂纹扩展阶段	87 180	45.6	44.9	1.5	45.5	0.1
	87 240	46.2	45.4	1.6	45.6	1.2
	87 300	47.1	46.0	2.2	46.8	0.5