Data-driven fatigue crack propagation and life prediction of tubular T-joint: A fracture mechanics based machine learning surrogate model
W Zhang, Y Su, Y Jiang, Z Hu, J Bi, W He - Engineering Fracture …, 2024 - Elsevier
This study establishes a data-driven surrogate model within a machine learning (ML)
framework for the rapid and accurate prediction of crack extension paths and fatigue life in …
framework for the rapid and accurate prediction of crack extension paths and fatigue life in …
Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM
Additive manufacturing offers greater flexibility in the design and fabrication of structural
components with complex shapes. However, the use of additively manufactured parts for …
components with complex shapes. However, the use of additively manufactured parts for …
A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation
This paper presents a novel crack size estimation method based on dilated convolution and
time series fine tuning using in‐situ Lamb wave. The contributions of this proposed method …
time series fine tuning using in‐situ Lamb wave. The contributions of this proposed method …