{"title":"Research on probability model and reliability of multiaxial fatigue life based on Huffman model","authors":"","doi":"10.1016/j.ijfatigue.2024.108675","DOIUrl":null,"url":null,"abstract":"<div><div>Various uncertainties are widely presented in engineering problems, such as material properties, loads, geometries, etc. Research has indicated that there is a significant relationship between the dispersion of fatigue life and the material properties. Therefore, it is necessary to study the effect of the parameter distribution of the material on the uncertainty of fatigue life. However, there are very few studies involving the distribution of fatigue performance parameters {σ<sub>f</sub><sup>’</sup>, ε<sub>f</sub><sup>’</sup>} of materials. In this paper, a probability framework of multiaxial fatigue life prediction based on the uncertainty of material parameters {σ<sub>f</sub><sup>’</sup>, ε<sub>f</sub><sup>’</sup>} was established, which focuses on quantifying the distribution of material parameters {σ<sub>f</sub><sup>’</sup>, ε<sub>f</sub><sup>’</sup>} based on the Huffman model. Next, based on the Fatemi-Socie (FS) model and the distribution of strain life parameters {σ<sub>f</sub><sup>’</sup>, ε<sub>f</sub><sup>’</sup>}, the probability field of Δ<em>γ</em><sub>eq</sub>/2-<em>N</em> curves were obtained, and experimental data were distributed around the predicted average life. In addition, a time-dependent multiaxial fatigue reliability analysis method based on the Palmgren-Miner rule and <em>P</em>-Δ<em>γ<sub>eq</sub></em>/2-<em>N</em> was derived, and the reliability curves were obtained under four multiaxial loading cases.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112324005346","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Various uncertainties are widely presented in engineering problems, such as material properties, loads, geometries, etc. Research has indicated that there is a significant relationship between the dispersion of fatigue life and the material properties. Therefore, it is necessary to study the effect of the parameter distribution of the material on the uncertainty of fatigue life. However, there are very few studies involving the distribution of fatigue performance parameters {σf’, εf’} of materials. In this paper, a probability framework of multiaxial fatigue life prediction based on the uncertainty of material parameters {σf’, εf’} was established, which focuses on quantifying the distribution of material parameters {σf’, εf’} based on the Huffman model. Next, based on the Fatemi-Socie (FS) model and the distribution of strain life parameters {σf’, εf’}, the probability field of Δγeq/2-N curves were obtained, and experimental data were distributed around the predicted average life. In addition, a time-dependent multiaxial fatigue reliability analysis method based on the Palmgren-Miner rule and P-Δγeq/2-N was derived, and the reliability curves were obtained under four multiaxial loading cases.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.