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基于数字图像相关技术的新型塑料裂纹尖端开口位移工具,用于估算316L不锈钢的疲劳裂纹扩展规律

New Plastic Crack-Tip Opening Displacement Tool Based on Digital Image Correlation for Estimating the Fatigue-Crack-Growth Law on 316L Stainless Steel.

作者信息

Ajmal Muhammad, Lopez-Crespo Cristina, Cruces Alejandro S, Lopez-Crespo Pablo

机构信息

Department of Civil and Materials Engineering, University of Malaga, C/Doctor Ortiz Ramos, s/n, 29071 Malaga, Spain.

Yanbu Industrial College, Yanbu 46452, Saudi Arabia.

出版信息

Materials (Basel). 2023 Jun 25;16(13):4589. doi: 10.3390/ma16134589.

DOI:10.3390/ma16134589
PMID:37444902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10342813/
Abstract

This work presents a new approach for studying crack growth resulting from fatigue, which utilizes the plastic contribution of crack-tip opening displacement (CTOD). CTOD is used to predict austenitic stainless-steel crack propagation. Unlike linear elastic fracture mechanics analysis, the method presented here is also helpful for tasks other than small-scale yielding. The approach was based on correlating full-field displacement information with post-processing digital images. This work describes a detailed post-processing protocol that can be used to calculate CTOD. The results for steel compact-tension specimens were especially promising. Of note, there was a linear relationship between the propagation rate of fatigue cracks and the CTOD range.

摘要

这项工作提出了一种研究疲劳导致的裂纹扩展的新方法,该方法利用了裂纹尖端开口位移(CTOD)的塑性贡献。CTOD用于预测奥氏体不锈钢裂纹扩展。与线弹性断裂力学分析不同,这里提出的方法对于小规模屈服以外的任务也很有帮助。该方法基于将全场位移信息与后处理数字图像相关联。这项工作描述了一种可用于计算CTOD的详细后处理协议。钢紧凑拉伸试样的结果尤其令人鼓舞。值得注意的是,疲劳裂纹扩展速率与CTOD范围之间存在线性关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/2e87f20135c1/materials-16-04589-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/f1895b61f030/materials-16-04589-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/144e9113145e/materials-16-04589-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/4f4608375724/materials-16-04589-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/7374028e0585/materials-16-04589-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/291485338c28/materials-16-04589-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/ca68b89913db/materials-16-04589-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/628a9f1a9a42/materials-16-04589-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/ce3ac5f34093/materials-16-04589-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c81a/10342813/2e87f20135c1/materials-16-04589-g014.jpg

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