Using Iterative Correction to Improve the Accuracy of the Blind-Hole Welding Residual Stress Test

An iterative correction method for the stress release coefficient, leveraging numerical simulation, has been innovatively developed to address the significant error issues associated with the blind-hole method in high-stress residual stress testing of steel structures. This method effectively reduces measurement error in high residual stress regions through a discriminant iteration process. The finite element analysis technology was employed to accurately simulate the blind-hole method's test process, and additionally, Python was utilized for customizing the secondary development of ABAQUS software, thereby automating and optimizing the method. When compared with simulation and experimental data from the welding process, the efficiency, accuracy, and reliability of the correction method have been verified. The proposed method eliminates the need for tedious calibration experiments inherent in traditional methods, significantly enhancing the test's automation level and convergence speed, and ensuring measurement accuracy, which provides an innovative solution for the accurate evaluation of residual stress in steel structures.

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Publication Details

Journal
Sensors
Published
2024-09-26
DOI
https://doi.org/10.3390/s24196243
Citations
4
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
0.85

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article

Using Iterative Correction to Improve the Accuracy of the Blind-Hole Welding Residual Stress Test

Zhonglong Li, Songlin Qin, Gao Jianzhong, Shengbao Wang et al.
4 citations
Sensors
Welding Techniques and Residual Stresses
0.85
article

Using Iterative Correction to Improve the Accuracy of the Blind-Hole Welding Residual Stress Test

Zhonglong Li, Songlin Qin, Gao Jianzhong, Shengbao Wang, Zhijia Yu, Jiangning Pei, Jichen Xiao
article en
4 citations

Abstract

An iterative correction method for the stress release coefficient, leveraging numerical simulation, has been innovatively developed to address the significant error issues associated with the blind-hole method in high-stress residual stress testing of steel structures. This method effectively reduces measurement error in high residual stress regions through a discriminant iteration process. The finite element analysis technology was employed to accurately simulate the blind-hole method's test process, and additionally, Python was utilized for customizing the secondary development of ABAQUS software, thereby automating and optimizing the method. When compared with simulation and experimental data from the welding process, the efficiency, accuracy, and reliability of the correction method have been verified. The proposed method eliminates the need for tedious calibration experiments inherent in traditional methods, significantly enhancing the test's automation level and convergence speed, and ensuring measurement accuracy, which provides an innovative solution for the accurate evaluation of residual stress in steel structures.

SensorsVol. 24(19)
Harbin University of Science and Technology (CN), Harbin Institute of Technology (CN), China Railway Group (China) (CN)
National Natural Science Foundation of China
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Welding Techniques and Residual Stresses
0.85
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Using Iterative Correction to Improve the Accuracy of the Blind-Hole Welding Residual Stress Test — Zhonglong Li, Songlin Qin, et al. · Sensors (2024) | TGRS Research Map | TGRS