International Journal of Fatigue最新文献

{"title":"Effect of loading configuration on tensile and fatigue behavior of dissimilar resistance spot welds of selective laser-melted maraging steels","authors":"Liting Shi,&nbsp;Wenkai Li,&nbsp;Siwei Li,&nbsp;Yandong Shi,&nbsp;Fan Jiang,&nbsp;Zhaofeng Zhou,&nbsp;Xuming Su","doi":"10.1016/j.ijfatigue.2025.109031","DOIUrl":"10.1016/j.ijfatigue.2025.109031","url":null,"abstract":"<div><div>Unlike conventional wrought or cast martensitic steels, which are prone to embrittlement and hydrogen cracking, 3D-printed martensitic steels exhibit exceptional weldability due to their tailored microstructural homogeneity and reduced precipitate segregation. This study investigated resistance spot welds (RSWs) in additively manufactured martensitic steel under complex loading conditions, specifically coach peel and KSII configurations. The results reveal that the weld nugget undergoes significant softening due to high-temperature remelting and the dissolution of strengthening precipitates, which reduces precipitation hardening and promotes grain coarsening. Finite element analysis (FEA) of coach peel specimens demonstrated a load-dependent transition in the shear-to-tensile stress ratio, with shear stress dominating at low loads, leading to interfacial fracture, while tensile stress becomes dominant at high loads, resulting in failure within the sheet metal. Furthermore, by extending Dong’s structural stress approach, this study highlights that the diameter of the weld nugget and sheet thickness are critical factors influencing fatigue life, with a strong correlation (R² = 0.90). These findings provide new insights into the optimization of weld design and performance for resistance spot welds in a 3D-printed martensitic steel underlining the potential for improved weld reliability and structural performance under complex loading conditions.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109031"},"PeriodicalIF":5.7,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of 2D inverse heat transfer to analyze mechanical fatigue","authors":"Mohammad A. Amooie,&nbsp;Hunter B. Gilbert,&nbsp;Peyton J. Wilson,&nbsp;Michael M. Khonsari","doi":"10.1016/j.ijfatigue.2025.109030","DOIUrl":"10.1016/j.ijfatigue.2025.109030","url":null,"abstract":"<div><div>This study presents a novel approach for reconstructing localized heat sources associated with fatigue degradation in metallic materials using 1D and 2D Inverse Heat Conduction Problem (IHCP) techniques, integrated with a Finite Element Method (FEM) framework. Traditional fatigue analysis methods are often constrained in their ability to analyze complex geometries. To address these limitations, an approach is introduced that leverages the self-heating observed during cyclic loading to estimate plastic work rates and predict fracture locations. The 2D IHCP demonstrates superior accuracy in capturing variations in heat fluxes and identifying critical regions prone to crack initiation. Experimental validation tests using stainless teel (SS) 321 specimens are presented with thermal and stress analysis data supporting the effectiveness of the proposed methodology. The results indicate that the 2D IHCP method is highly effective in predicting plastic work rate, crack initiation onset, Fracture Fatigue Entropy (FFE), and provides a robust framework for analyzing fatigue in components with complex geometries.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109030"},"PeriodicalIF":5.7,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fatigue crack growth in L-PBF Ti-6Al-4V: Influence of notch orientation, stress ratio, and volumetric defects","authors":"Mikyle Paul,&nbsp;Sajith Soman,&nbsp;Shuai Shao,&nbsp;Nima Shamsaei","doi":"10.1016/j.ijfatigue.2025.109027","DOIUrl":"10.1016/j.ijfatigue.2025.109027","url":null,"abstract":"<div><div>This study investigates the fatigue crack growth (FCG) behavior of laser powder bed fused (L-PBF) Ti-6Al-4V parts with an emphasis on the effects of notch orientation, stress ratio, <em>R</em>, and process-induced volumetric defects. Process parameters were altered during fabrication to induce different defect types and populations. FCG tests were conducted using compact tension specimens at stress ratios of <em>R</em> = 0.1, 0.4, and 0.7 and in orientations of vertical, horizontal, and diagonal. Detailed fractography as well as <em>post-mortem</em> microstructure characterization were performed. <em>R</em> was found to significantly influence both the threshold and stable fatigue crack growth behavior. An increase in FCG rate with increasing <em>R</em> was observed due to lower degrees of plasticity induced and roughness induced crack closure. Specimens with a vertical notch orientation exhibited the highest threshold stress intensity factor range at all <em>R</em> values due to higher levels of crack closure resulting from greater crack surface roughness caused by grain orientation. Crack path tortuosity for different orientations was observed which was driven by the crystallographic orientation of prior β grains and α-laths. Interestingly, specimens containing more defects had slightly higher Δ<em>K_th</em> however, the stable crack growth behavior was unaffected.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109027"},"PeriodicalIF":5.7,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of temperature and strain rate on isothermal low-cycle fatigue behaviour of Inconel 718 superalloy: Damage mechanisms, microstructure evolution, and life prediction","authors":"Michal Bartošák, Vladimír Mára, Ivo Šulák","doi":"10.1016/j.ijfatigue.2025.109005","DOIUrl":"https://doi.org/10.1016/j.ijfatigue.2025.109005","url":null,"abstract":"In this article, strain-controlled Low-Cycle Fatigue (LCF) tests were performed on Inconel 718 nickel-based superalloy at temperatures of 300 °C, 650 °C, and 730 °C. The LCF tests were conducted at various mechanical strain amplitudes between &lt;mml:math altimg=\"si416.svg\" display=\"inline\"&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;3&lt;/mml:mn&gt;&lt;mml:mo&gt;.&lt;/mml:mo&gt;&lt;mml:mn&gt;5&lt;/mml:mn&gt;&lt;mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\"&gt;×&lt;/mml:mo&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:msup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;0&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;3&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msup&gt;&lt;/mml:mrow&gt;&lt;/mml:math&gt; and &lt;mml:math altimg=\"si88.svg\" display=\"inline\"&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\"&gt;×&lt;/mml:mo&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:msup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;0&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;2&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msup&gt;&lt;/mml:mrow&gt;&lt;/mml:math&gt;, and three different mechanical strain rates: &lt;mml:math altimg=\"si87.svg\" display=\"inline\"&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\"&gt;×&lt;/mml:mo&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:msup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;0&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;4&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msup&gt;&lt;/mml:mrow&gt;&lt;/mml:math&gt;/s, &lt;mml:math altimg=\"si263.svg\" display=\"inline\"&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\"&gt;×&lt;/mml:mo&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:msup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;0&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;3&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msup&gt;&lt;/mml:mrow&gt;&lt;/mml:math&gt;/s, and &lt;mml:math altimg=\"si88.svg\" display=\"inline\"&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\"&gt;×&lt;/mml:mo&gt;&lt;mml:mn&gt;1&lt;/mml:mn&gt;&lt;mml:msup&gt;&lt;mml:mrow&gt;&lt;mml:mn&gt;0&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;mml:mrow&gt;&lt;mml:mo&gt;−&lt;/mml:mo&gt;&lt;mml:mn&gt;2&lt;/mml:mn&gt;&lt;/mml:mrow&gt;&lt;/mml:msup&gt;&lt;/mml:mrow&gt;&lt;/mml:math&gt;/s. Cyclic straining resulted in cyclic softening under all investigated loading conditions, with the effect being more significant at higher temperatures. The cyclic softening was attributed to the formation of persistent slip bands and the shearing of coherent precipitates. At 730 °C, &lt;mml:math altimg=\"si33.svg\" display=\"inline\"&gt;&lt;mml:mi&gt;δ&lt;/mml:mi&gt;&lt;/mml:math&gt; phase precipitation in LCF tests conducted at low strain rates contributed to additional softening. Investigations into the damage mechanisms revealed that the predominant failure mode shifted from transgranular at 300 °C to intergranular at 650 °C and 730 °C. In addition, fatigue crack initiation sites most frequently involved broken or oxidized carbides. The fatigue lifetime decreased with an increasing temperature and a decreasing strain rate, primarily due to oxidation-assisted intergranular cracking at high temperatures, involving the formation of brittle oxides at grain boundaries. Finally, a multi-mechanism-based damage model was proposed to predict fatigue lifetime, accounting for contributions from oxidation, creep, and fatigue damage. The model exhibited a good correlation between the predicted and the obs","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"7 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of statistical and spectral properties of non-Gaussian random vibration fatigue loads using Higher Order Spectra","authors":"Peter Wolfsteiner,&nbsp;Arvid Trapp","doi":"10.1016/j.ijfatigue.2025.109004","DOIUrl":"10.1016/j.ijfatigue.2025.109004","url":null,"abstract":"<div><div>A theoretical analysis of random vibration fatigue is possible in time- or frequency-domain. In time-domain, sampled signal realizations are used, whereas the power spectral density (PSD) method is based on second-order statistics in frequency-domain. PSDs have important advantages over the sampled time-domain signals: (i) PSDs use a statistical model, enabling sound modeling of extreme value statistics, (ii) PSDs come along with a beneficial data reduction in computational analysis. However, PSD models rely on the hypothesis of Gaussianity. Practical applications often deviate from this assumption causing significantly false fatigue load estimations. Various improvements were proposed in the past, based on simplifying assumptions or with limited validity, not yet providing a theoretically sound solution for general non-Gaussian random fatigue loads. This paper follows the hypothesis that higher-order spectra (HOS) can model general non-Gaussian random fatigue loads. HOS extend the second-order PSD model in spectral domain. Using typical, different non-Gaussian signal types, the paper demonstrates significant improvements based on the trispectrum (4th-order HOS). To achieve this goal, a novel method for the synthetic generation of non-Gaussian time realizations from a HOS description is presented. The results lay the foundation for further work, such as the development of estimation methods for load-spectra from HOS.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109004"},"PeriodicalIF":5.7,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fatigue life prediction of aluminum-steel magnetic pulse crimped joints based on point cloud measurement and gradient boosting regression trees","authors":"Yujia Zhao ,&nbsp;Ming Lai ,&nbsp;Yuqi Wu ,&nbsp;Guangyao Li ,&nbsp;Hao Jiang ,&nbsp;Junjia Cui","doi":"10.1016/j.ijfatigue.2025.109020","DOIUrl":"10.1016/j.ijfatigue.2025.109020","url":null,"abstract":"<div><div>The fatigue life of magnetic pulse crimping (MPC) joints is crucial for the safe fatigue design of connection structures. Traditional fatigue life prediction methods primarily rely on loading condition analysis and fail to fully account for the impact of manufacturing variations (such as raw material dimensions, process parameters, and joint deformations), which presents challenges for accurate fatigue life prediction. To address this issue, this paper proposes a fatigue life prediction method for MPC joints that combines point cloud measurement and machine learning (ML) models. Random sample consensus (RANSAC) and point cloud segmentation are used to extract the joint deformation contour precisely. Compared to metallographic analysis, this method achieved non-destructive extraction of joint deformation features. Based on this, an integrated dataset covering the entire process from raw materials to fatigue testing is established. Five machine learning models are trained and tested, with results showing that the gradient boosting regression trees (GBRT) model performs the best. The visualization of a single decision tree in the GBRT model is analyzed, providing a transparent decision-making process. A comparison is made between the GBRT model and the traditional Basquin model. In the GBRT model, 100% of the training set and 90% of the testing set fall within the 1.5 times error band, while only 45% of the training set and 60% of the testing set in the Basquin model fall within this range. Additionally, the GBRT model achieves a higher coefficient of determination (<em>R</em>²) on the dataset compared to the Basquin model.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109020"},"PeriodicalIF":5.7,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen-mediated heat treatment and microstructural engineering for enhanced hydrogen embrittlement resistance in 304 austenitic stainless steel welds","authors":"Jinxin Xue ,&nbsp;Haixiang Wang ,&nbsp;Xiang Li ,&nbsp;Junyang Chen ,&nbsp;Xinfeng Li ,&nbsp;Lin Zhang ,&nbsp;Chilou Zhou","doi":"10.1016/j.ijfatigue.2025.109021","DOIUrl":"10.1016/j.ijfatigue.2025.109021","url":null,"abstract":"<div><div>A comprehensive investigation was conducted to elucidate the correlation between nitrogen-atmosphere heat treatment parameters and hydrogen embrittlement (HE) resistance in 304 austenitic stainless steel weldments. The HE susceptibility was quantitatively evaluated through in-situ slow strain rate tensile (SSRT) and fatigue crack growth rate (FCGR) tests under hydrogen exposure. Heat treatment temperature exhibited a critical influence on HE resistance, with maximum effectiveness observed at 600 °C (RRA = 0.701). Multi-scale microstructural characterization employing electron backscatter diffraction (EBSD) and scanning Kelvin probe force microscopy (SKPFM) revealed dual strengthening mechanisms: refined grain structure restricting hydrogen ingress and strategically distributed grain boundary precipitates (Cr_xN) acting as effective physical barriers to hydrogen penetration. These concurrent microstructural modifications synergistically enhanced the resistance to hydrogen-induced degradation, providing fundamental insights into the optimization of heat treatment protocols for improved HE resistance.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109021"},"PeriodicalIF":5.7,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An enhanced nonlinear fatigue cumulative damage model based on toughness exhaustion and strength degradation","authors":"Yifan Yu ,&nbsp;Liyong Wang ,&nbsp;Jianpeng Wu ,&nbsp;Shuyuan Chang ,&nbsp;Ximing Zhang","doi":"10.1016/j.ijfatigue.2025.109025","DOIUrl":"10.1016/j.ijfatigue.2025.109025","url":null,"abstract":"<div><div>Accurate prediction of fatigue life under variable amplitude (VA) loading remains fundamentally challenged by load-sequence-dependent damage accumulation in metallic structures. This study establishes a nonlinear cumulative damage model integrating toughness exhaustion and strength degradation mechanisms through damage equivalence principles. Multi-level VA experiments on carbon steel, alloy steel, and aerospace aluminum alloys demonstrate that the proposed model reduces life prediction errors to 6.53% (5-level) and 9.43% (8-level), achieving 93.94% and 94.79% accuracy improvement versus the Palmgren-Miner method. Statistical evaluations reveal dominant control of two key factors: material ultimate tensile strength (UTS) and stress amplitude differential between successive cycles. These advancements provide validated engineering tools for durability assessment of aero-engine components and military vehicle systems experiencing complex mission profiles.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109025"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning insight into the mean stress impact on fatigue life of additively manufactured 18Ni300 maraging steel under various multiaxial stress paths","authors":"Aleksander Karolczuk,&nbsp;Andrzej Kurek","doi":"10.1016/j.ijfatigue.2025.109023","DOIUrl":"10.1016/j.ijfatigue.2025.109023","url":null,"abstract":"<div><div>This study investigates the effects of mean axial and mean shear stresses on the fatigue life of Laser Powder Bed Fusion (LPBF) 18Ni300 maraging steel under uniaxial, torsional, in-phase, and out-of-phase axial–torsional loading conditions. A Gaussian Process (GP) model is employed to analyze fatigue life data, enabling (i) the estimation of the impact of specific mean stress components and (ii) the identification of dominant damage mechanisms through the selection of key stress-related predictors. Results reveal that static and alternating axial stresses similarly influence fatigue life, an effect captured by the maximum axial stress. This is attributed to the stress-raising geometry of surface pits, which limits axial ratcheting and reinforces the dominant role of maximum axial stress. In contrast, mean shear stress induces angular displacement ratcheting, leading to additional fatigue damage that maximum stress alone cannot account for. Under out-of-phase loading, this angular ratcheting is suppressed, significantly reducing the influence of mean shear stress on fatigue life. The GP model effectively captures the non-linear relationships between stress components and fatigue life. These results emphasize the critical role of mean stress effects and surface features in designing and evaluating AM components, enhancing the understanding of fatigue damage mechanisms in AM steels and aiding the development of predictive life models for complex loading conditions.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 109023"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An improved understanding of fatigue crack growth behavior of multiple collinear cracks in hybrid composite structures","authors":"Wandong Wang ,&nbsp;Hongchen Zhao ,&nbsp;Zhinan Zhang ,&nbsp;Wenbo Sun ,&nbsp;Calvin Rans ,&nbsp;Yu’e Ma","doi":"10.1016/j.ijfatigue.2025.108997","DOIUrl":"10.1016/j.ijfatigue.2025.108997","url":null,"abstract":"<div><div>Accurately predicting MSD crack growth behavior in hybrid metal–composite structures is challenging due to the complex interactions of fiber bridging and delamination failure in fiber–metal laminates (FMLs). These mechanisms enhance damage tolerance but complicate crack analysis. This paper proposes two analytical models to address crack growth in FMLs with multiple collinear cracks. The first model analyzes crack openings and stress intensity factors (SIFs) for multiple cracks, capturing the physics of MSD cracking, but it is cumbersome to implement. The second model simplifies the problem by considering energy dissipation, treating the MSD scenario as a single crack in a finite plate and equating the energy dissipation between both cases. Both models were validated and show accurate predictions of crack growth behavior, capturing crack acceleration effectively. The results emphasize the importance of accounting for the contributions of bridging and stiffening mechanisms in FMLs, particularly load redistribution, which influences crack growth.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 108997"},"PeriodicalIF":5.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}