The study on the decay law of Weibull distribution shape parameters for the residual strength of composite materials

IF 2.5 3区 工程技术 Q2 MECHANICS
Chaozhi Yang, Yi Sun, Zhiqiang Yang, Shuai Ma, Zhengxuan Guan
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引用次数: 0

Abstract

During the fatigue process, the variability in the residual strength of the composite gradually increased. This paper examined the transformation law of Weibull parameters for residual strength as a function of cycle count using experimental data and a literature review. The findings indicated that the attenuation of the shape parameters was tied to the degradation behavior of residual strength. Data from three distinct composite systems further indicate an approximately linear relationship between the shape parameter and residual strength, although additional validation is required under other loading and material conditions. A revised Weibull distribution model was introduced, enhancing the decay law of the shape parameters. The model better described the shape parameter, enabling accurate prediction of the variability in residual strength. With known Weibull parameters for material strength and fatigue performance, along with the law governing the weakening of residual strength, the probability distribution of strength after any number of cycles could be estimated.

Abstract Image

复合材料残余强度威布尔分布形状参数衰减规律研究
在疲劳过程中,复合材料残余强度的变异性逐渐增大。利用实验数据和文献综述,研究了残余强度威布尔参数随循环次数的变化规律。研究结果表明,形状参数的衰减与残余强度的退化行为有关。来自三种不同复合材料系统的数据进一步表明,形状参数和残余强度之间存在近似线性关系,尽管需要在其他载荷和材料条件下进行额外的验证。引入了一种修正的威布尔分布模型,增强了形状参数的衰减规律。该模型更好地描述了形状参数,能够准确预测残余强度的变化。已知材料强度和疲劳性能的威布尔参数,以及残余强度减弱的规律,可以估计任意次数循环后强度的概率分布。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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