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在一些疲劳模型中，由于加载循环不对称导致的S-N曲线偏移。

Shift of S-N curves in some fatigue models due to loading cycle asymmetry.

作者信息

Kohout Jan, Věchet Stanislav

机构信息

Dept. of Mathematics and Physics, Military Technology Faculty, University of Defence, Kounicova 65, 662 10, Brno, Czech Republic.

Institute of Materials Science and Engineering, Faculty of Mechanical Engineering, Brno University of Technology, Technická 2896/2, 616 69, Brno, Czech Republic.

出版信息

Heliyon. 2024 Feb 15;10(4):e26306. doi: 10.1016/j.heliyon.2024.e26306. eCollection 2024 Feb 29.

DOI:10.1016/j.heliyon.2024.e26306
PMID:38404836
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10884856/
Abstract

Fatigue (Wöhler's or S-N) curves are usually represented by upper stress of loading cycle in dependence on the logarithm of numbers of cycles to fracture. Increasing mean stress of loading cycle causes a shift of these curves towards higher values of fatigue strength. A successful quantitative description of the high cycle shift was published by Walker. The aim of the paper consists in deriving and verifying the relations describing the shift of fatigue curves in the whole cycle region from ultimate tensile stress to permanent fatigue limit, for the Palmgren, the Kohout-Věchet and the logistic S-N models, using the high-cycle Walker approach.

摘要

疲劳（沃勒或S-N）曲线通常由加载循环的上限应力与断裂循环次数的对数关系来表示。加载循环平均应力的增加会使这些曲线向更高的疲劳强度值偏移。沃克发表了对高周偏移的成功定量描述。本文的目的在于，使用高周沃克方法，推导并验证描述帕尔姆格伦、科胡特-韦切特和逻辑S-N模型在从极限拉伸应力到永久疲劳极限的整个循环区域内疲劳曲线偏移的关系式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/f69e102ce04c/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/13d31930e9a7/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/88371729b9b6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/588e17b0c6bc/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/7cd6b9c8e981/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/0969e2713c66/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/b764c5b952a3/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/f0a71128fa75/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/6af13ab515e9/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/5b413443cb22/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/6359f47d9f61/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/ea96b771106b/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/f69e102ce04c/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/13d31930e9a7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/5cb5fe10bc2e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/88371729b9b6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/588e17b0c6bc/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/7cd6b9c8e981/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/0969e2713c66/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/b764c5b952a3/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/f0a71128fa75/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/6af13ab515e9/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/5b413443cb22/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/6359f47d9f61/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/ea96b771106b/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/10884856/f69e102ce04c/gr13.jpg

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