Related Experiment Video
Updated: Sep 28, 2025

Surrogate Model Development for Digital Experiments in Welding
Published on: March 28, 2025
Prediction Model of Stress Intensity Factor of Circumferential Through Crack in Elbow Based on Neural Network
Xiaohong Li1,2, Xianghui Li1, Bin Chen1
1Liaoning Petrochemical University, Fushun, Liaoning 113001, China.
Abstract:
Using ANSYS software to establish the finite element model of crack bending tube, the SIF at the tip of the crack is calculated for the difference in the diameter of the pipe, the outer diameter of the elbow, and the bending angle of the bend pipe, and it is used as a neural network to calculate the sample. By using three layers of BP network to establish the prediction model of the SIF of cracked pipe, the simulation of 39 sets of samples proves that the relative error of the BP network model is 0.19% and the mean square error of the network output is 0.0102. The prediction model has high prediction precision and generalization ability and can be used in engineering design and calculation.
Related Concept Videos
Stress Concentrations in Circular Shafts
Elastic Strain Energy for Shearing Stresses
Elastic Strain Energy for Normal Stresses
If...
Stress Concentrations
Stresses under Combined Loadings
The process begins by slicing the tube at critical points and analyzing the internal forces and stress components at these sections, focusing on the centroid. Normal stresses, generated by axial forces and bending moments, are either compressive or tensile and vary across the section from...
Circular Shafts - Elastoplastic Materials
As torque on the...

