疲劳差异的参数评估

IF 3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Elvis N. Kufoin, Luca Susmel
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引用次数: 0

摘要

事实证明,有效合并不同来源的疲劳数据集是提高工业疲劳评估和设计可靠性的一种战略方法,同时还能简化成本和缩短时间。统计参数分析是一种可应用于疲劳数据集的方法,用于确定数据集在统计上是否显著(不同)或不显著(相似)。本文系统地采用了统计参数检验假设来评估显著性。为了验证这种方法,本文将孔径从 0 毫米到 3 毫米不等的各种缺口试样产生的疲劳数据集作为案例研究,此外还使用了文献中的数据。特别是,利用总应力来确保识别疲劳数据集差异的唯一方法是通过统计分析。据观察,这种方法适用于缺口几何差异小至 1 毫米的几何形状,并能识别铸铁缺口的不敏感性。因此,这种方法可用于根据统计参数而不是其他物理参数来区分疲劳数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the parametric assessment of fatigue disparities

Efficiently merging fatigue datasets from diverse sources has proven to be a strategic approach for enhancing the reliability of fatigue assessment and design within industry, while concurrently streamlining costs and time. Statistical parametric analysis is an approach that can be applied to fatigue datasets to determine whether the datasets can be deemed statistically significant (different) or statistically insignificant (similar). This paper systematically employed statistical parametric test-statistic hypotheses to assess significance. To validate this approach the paper used as a case study, fatigue data sets generated from varied notched specimens with hole diameters ranging from 0 mm to 3 mm, in addition to data from the literature. In particular, gross stresses were utilized to ensure that the only means to identify differences in the fatigue datasets was through statistical analysis. This approach was observed to work well for geometries with differences in notch geometry as small as 1 mm and was able to identify notch insensitivity in cast iron. Thus, this method can be used to differentiate fatigue datasets based on statistical parameters rather than other physical parameters.

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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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