Shuwei Zhou , Mian Huang , Christian Häffner , Sophie Stebner , Min Cai , Zhichao Wei , Bing Yang , Sebastian Münstermann
{"title":"LZ50钢显微组织敏感晶体塑性及疲劳指标建模","authors":"Shuwei Zhou , Mian Huang , Christian Häffner , Sophie Stebner , Min Cai , Zhichao Wei , Bing Yang , Sebastian Münstermann","doi":"10.1016/j.ijfatigue.2025.109302","DOIUrl":null,"url":null,"abstract":"<div><div>The fatigue performance of railway axle steel is highly sensitive to microstructural heterogeneities and internal defects, which are inadequately captured by conventional life prediction methods. Motivated by this, a two-stage fatigue life prediction framework for LZ50 steel is employed that integrates the crystal plasticity finite element method with fatigue indicator parameters to account for microstructure-sensitive fatigue processes, including crack initiation and microstructurally short crack growth. To establish a typical experimental foundation, microstructural characterization via electron backscatter diffraction and scanning electron microscopy, displacement-controlled uniaxial tensile tests, and strain-controlled fatigue experiments were conducted. Representative volume elements were constructed based on the characterized microstructures, and crystal plasticity parameters were calibrated against both tensile and fatigue test results obtained at a strain amplitude of 0.9%, and further validated at amplitudes of 0.45%, 0.6%, and 0.75%. Compared to the approaches based on conventional fatigue indicator parameters, the two-stage framework that decouples crack initiation and microstructurally short-crack growth significantly improves prediction accuracy, with all results falling within the <span><math><mrow><mo>±</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>×</mo></mrow></math></span> scatter band. The microstructurally short crack growth stage is found to contribute more than 50% of the total fatigue life. Furthermore, the effects of inclusions and pores with varying size, shape, and stiffness are systematically investigated. This study provides an effective and physically grounded framework for fatigue life prediction of defect-containing microstructures in structural steels.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"203 ","pages":"Article 109302"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microstructure-sensitive crystal plasticity and fatigue indicator modeling for LZ50 steel\",\"authors\":\"Shuwei Zhou , Mian Huang , Christian Häffner , Sophie Stebner , Min Cai , Zhichao Wei , Bing Yang , Sebastian Münstermann\",\"doi\":\"10.1016/j.ijfatigue.2025.109302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The fatigue performance of railway axle steel is highly sensitive to microstructural heterogeneities and internal defects, which are inadequately captured by conventional life prediction methods. Motivated by this, a two-stage fatigue life prediction framework for LZ50 steel is employed that integrates the crystal plasticity finite element method with fatigue indicator parameters to account for microstructure-sensitive fatigue processes, including crack initiation and microstructurally short crack growth. To establish a typical experimental foundation, microstructural characterization via electron backscatter diffraction and scanning electron microscopy, displacement-controlled uniaxial tensile tests, and strain-controlled fatigue experiments were conducted. Representative volume elements were constructed based on the characterized microstructures, and crystal plasticity parameters were calibrated against both tensile and fatigue test results obtained at a strain amplitude of 0.9%, and further validated at amplitudes of 0.45%, 0.6%, and 0.75%. Compared to the approaches based on conventional fatigue indicator parameters, the two-stage framework that decouples crack initiation and microstructurally short-crack growth significantly improves prediction accuracy, with all results falling within the <span><math><mrow><mo>±</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>×</mo></mrow></math></span> scatter band. The microstructurally short crack growth stage is found to contribute more than 50% of the total fatigue life. Furthermore, the effects of inclusions and pores with varying size, shape, and stiffness are systematically investigated. This study provides an effective and physically grounded framework for fatigue life prediction of defect-containing microstructures in structural steels.</div></div>\",\"PeriodicalId\":14112,\"journal\":{\"name\":\"International Journal of Fatigue\",\"volume\":\"203 \",\"pages\":\"Article 109302\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-09-25\",\"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/S0142112325004992\",\"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/S0142112325004992","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}
Microstructure-sensitive crystal plasticity and fatigue indicator modeling for LZ50 steel
The fatigue performance of railway axle steel is highly sensitive to microstructural heterogeneities and internal defects, which are inadequately captured by conventional life prediction methods. Motivated by this, a two-stage fatigue life prediction framework for LZ50 steel is employed that integrates the crystal plasticity finite element method with fatigue indicator parameters to account for microstructure-sensitive fatigue processes, including crack initiation and microstructurally short crack growth. To establish a typical experimental foundation, microstructural characterization via electron backscatter diffraction and scanning electron microscopy, displacement-controlled uniaxial tensile tests, and strain-controlled fatigue experiments were conducted. Representative volume elements were constructed based on the characterized microstructures, and crystal plasticity parameters were calibrated against both tensile and fatigue test results obtained at a strain amplitude of 0.9%, and further validated at amplitudes of 0.45%, 0.6%, and 0.75%. Compared to the approaches based on conventional fatigue indicator parameters, the two-stage framework that decouples crack initiation and microstructurally short-crack growth significantly improves prediction accuracy, with all results falling within the scatter band. The microstructurally short crack growth stage is found to contribute more than 50% of the total fatigue life. Furthermore, the effects of inclusions and pores with varying size, shape, and stiffness are systematically investigated. This study provides an effective and physically grounded framework for fatigue life prediction of defect-containing microstructures in structural steels.
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.