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基于裂纹扩展数据对疲劳裂纹扩展阈值的稳健测定

Robust Determination of Fatigue Crack Propagation Thresholds from Crack Growth Data.

作者信息

Schönherr Josef Arthur, Duarte Larissa, Madia Mauro, Zerbst Uwe, Geilen Max Benedikt, Klein Marcus, Oechsner Matthias

机构信息

Center for Structural Materials (MPA-IfW), Technical University of Darmstadt, 64283 Darmstadt, Germany.

Bundesanstalt für Materialforschung und -Prüfung (BAM), Division 9.4, 12205 Berlin, Germany.

出版信息

Materials (Basel). 2022 Jul 6;15(14):4737. doi: 10.3390/ma15144737.

DOI:10.3390/ma15144737
PMID:35888203
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9324856/
Abstract

The robust determination of the threshold against fatigue crack propagation ΔKth is of paramount importance in fracture mechanics based fatigue assessment procedures. The standards ASTM E647 and ISO 12108 introduce operational definitions of ΔKth based on the crack propagation rate da/dN and suggest linear fits of logarithmic ΔK- da/dN test data to calculate ΔKth. Since these fits typically suffer from a poor representation of the actual curvature of the crack propagation curve, a method for evaluating ΔKth using a nonlinear function is proposed. It is shown that the proposed method reduces the artificial conservativeness induced by the evaluation method as well as the susceptibility to scatter in test data and the influence of test data density.

摘要

在基于断裂力学的疲劳评估程序中，精确确定疲劳裂纹扩展门槛值ΔKth至关重要。ASTM E647和ISO 12108标准基于裂纹扩展速率da/dN引入了ΔKth的操作定义，并建议对对数ΔK - da/dN测试数据进行线性拟合以计算ΔKth。由于这些拟合通常难以准确表示裂纹扩展曲线的实际曲率，因此提出了一种使用非线性函数评估ΔKth的方法。结果表明，该方法减少了评估方法引起的人为保守性、测试数据散射的敏感性以及测试数据密度的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/eefe415673fa/materials-15-04737-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/6daf8837bcb2/materials-15-04737-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/3f2a8e1fe290/materials-15-04737-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/52437a0cb07d/materials-15-04737-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/99f268370fc0/materials-15-04737-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/18d941a6438b/materials-15-04737-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/4e88e3a7f1d6/materials-15-04737-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/a7a6c7c7b666/materials-15-04737-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/824533afa642/materials-15-04737-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ca9/9324856/eefe415673fa/materials-15-04737-g012.jpg

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