Jinshan He , Chunfeng Hu , Runze Zhang , Pinpin Hu , Chengbo Xiao , Xitao Wang
{"title":"基于晶体塑性有限元法的新型低循环和高循环疲劳寿命预测准则","authors":"Jinshan He , Chunfeng Hu , Runze Zhang , Pinpin Hu , Chengbo Xiao , Xitao Wang","doi":"10.1016/j.ijfatigue.2025.108903","DOIUrl":null,"url":null,"abstract":"<div><div>The present study proposes a novel physically-based criterion for simultaneously predicting both high-cycle and low-cycle fatigue life by incorporating slip irreversibility. Considering the damage induced by irreversible plastic deformation on the foundation of cumulative dissipation energy, this criterion serves as an effective tool for assessing fatigue life. Based on the construction of multiple RVE models combined with crystal plastic finite element method, we successfully predicted the high- and low-cycle fatigue life of micro-grain K4169 alloy within a scatter band of ± 1.5 by this new fatigue parameter indicator. Notably, the prediction error of high-cycle fatigue life is within 10 %, a 70 % reduction compared to the cumulative dissipated energy criterion. On such basis, the slip irreversible coefficients (<em>p</em>) at different loading conditions were predicated precisely and validated by experimental data obtained from atom force microscope. Then a double logarithmic linear relationship between <em>p</em> and fatigue life of the alloy was established with the equation <span><math><mrow><mi>p</mi><mo>=</mo><mn>1.2</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>∙</mo><msubsup><mi>N</mi><mrow><mi>f</mi></mrow><mrow><mo>-</mo><mn>0.4079</mn></mrow></msubsup></mrow></math></span>. In addition, the high-cycle fatigue life of fine-grain K4169 alloy was also precisely predicted within a scatter band of ± 2.5 by adjusting grain size in RVE models.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108903"},"PeriodicalIF":5.7000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new low-cycle and high-cycle fatigue life prediction criterion based on crystal plasticity finite element method\",\"authors\":\"Jinshan He , Chunfeng Hu , Runze Zhang , Pinpin Hu , Chengbo Xiao , Xitao Wang\",\"doi\":\"10.1016/j.ijfatigue.2025.108903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The present study proposes a novel physically-based criterion for simultaneously predicting both high-cycle and low-cycle fatigue life by incorporating slip irreversibility. Considering the damage induced by irreversible plastic deformation on the foundation of cumulative dissipation energy, this criterion serves as an effective tool for assessing fatigue life. Based on the construction of multiple RVE models combined with crystal plastic finite element method, we successfully predicted the high- and low-cycle fatigue life of micro-grain K4169 alloy within a scatter band of ± 1.5 by this new fatigue parameter indicator. Notably, the prediction error of high-cycle fatigue life is within 10 %, a 70 % reduction compared to the cumulative dissipated energy criterion. On such basis, the slip irreversible coefficients (<em>p</em>) at different loading conditions were predicated precisely and validated by experimental data obtained from atom force microscope. Then a double logarithmic linear relationship between <em>p</em> and fatigue life of the alloy was established with the equation <span><math><mrow><mi>p</mi><mo>=</mo><mn>1.2</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>∙</mo><msubsup><mi>N</mi><mrow><mi>f</mi></mrow><mrow><mo>-</mo><mn>0.4079</mn></mrow></msubsup></mrow></math></span>. In addition, the high-cycle fatigue life of fine-grain K4169 alloy was also precisely predicted within a scatter band of ± 2.5 by adjusting grain size in RVE models.</div></div>\",\"PeriodicalId\":14112,\"journal\":{\"name\":\"International Journal of Fatigue\",\"volume\":\"197 \",\"pages\":\"Article 108903\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-03-04\",\"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/S0142112325001008\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325001008","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}
A new low-cycle and high-cycle fatigue life prediction criterion based on crystal plasticity finite element method
The present study proposes a novel physically-based criterion for simultaneously predicting both high-cycle and low-cycle fatigue life by incorporating slip irreversibility. Considering the damage induced by irreversible plastic deformation on the foundation of cumulative dissipation energy, this criterion serves as an effective tool for assessing fatigue life. Based on the construction of multiple RVE models combined with crystal plastic finite element method, we successfully predicted the high- and low-cycle fatigue life of micro-grain K4169 alloy within a scatter band of ± 1.5 by this new fatigue parameter indicator. Notably, the prediction error of high-cycle fatigue life is within 10 %, a 70 % reduction compared to the cumulative dissipated energy criterion. On such basis, the slip irreversible coefficients (p) at different loading conditions were predicated precisely and validated by experimental data obtained from atom force microscope. Then a double logarithmic linear relationship between p and fatigue life of the alloy was established with the equation . In addition, the high-cycle fatigue life of fine-grain K4169 alloy was also precisely predicted within a scatter band of ± 2.5 by adjusting grain size in RVE models.
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.