中等循环疲劳机制下疲劳设计概率方法的定量审查

IF 3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Probabilistic Engineering Mechanics Pub Date : 2024-01-01 DOI:10.1016/j.probengmech.2024.103589
Elvis Kufoin, Luca Susmel
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引用次数: 0

摘要

为了量化材料的疲劳行为,需要绘制沃勒曲线图。最新技术表明,多年来已设计出许多适合确定沃勒曲线的方法,并通过大量疲劳数据集进行了验证。实验疲劳数据的变化促使人们使用统计数据进行分析和设计。通过重点关注中等循环疲劳机制(即失效循环次数在 103÷107 次之间),本文回顾了相关的统计方法,特别是美国材料试验协会 (ASTM) 和国际焊接学会 (IIW) 建议的方法以及所谓的线性回归法 (LRM)。对虚拟数据集以及文献中的实验疲劳数据集进行了评估,以满足特定的统计要求。虽然所有方法在两倍或更小范围内的散布带相似,但 ASTM 方法被认为是最保守的。
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Quantitative review of probabilistic approaches to fatigue design in the medium cycle fatigue regime

To quantify the fatigue behaviour of materials, a Wöhler diagram is required. The state of the art shows that, over the years, numerous approaches suitable for determining Wöhler curves have been devised and validated through large fatigue data sets. The variation in experimental fatigue data elicits the use of statistics for analysis and design purposes. By focusing on the medium-cycle fatigue regime (i.e., failures in the range 103÷107 cycles to failure), this paper reviews relevant statistical approaches, particularly the methods suggested by the American Society for Testing Materials (ASTM) as well as the International Institute of Welding (IIW) and the so-called Linear Regression Method (LRM). Their responses were assessed on virtual data sets tailored to satisfy specific statistical requirements as well as experimental fatigue data sets from the literature. While the scatter bands at two times or less of the spread are similar for all approaches, the ASTM approach is seen to be the most conservative.

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来源期刊
Probabilistic Engineering Mechanics
Probabilistic Engineering Mechanics 工程技术-工程:机械
CiteScore
3.80
自引率
15.40%
发文量
98
审稿时长
13.5 months
期刊介绍: This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering. The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities.
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