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Search Results (302)

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Keywords = fatigue life, finite element modelling

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14 pages, 3504 KiB  
Article
Optimizing Aortic Arch Stent-Graft Performance Through Material Science: An Exploratory Study
by Xiaobing Liu, Linxuan Zhang, Zongchao Liu and Shuai Teng
Materials 2025, 18(15), 3592; https://doi.org/10.3390/ma18153592 (registering DOI) - 31 Jul 2025
Abstract
Thoracic endovascular aortic repair (TEVAR) for cardiovascular diseases often encounters complications that are closely linked to the mechanical properties of stent-grafts. Both the design and material properties influence device performance, but the specific impacts of material properties remain underexplored and poorly understood. This [...] Read more.
Thoracic endovascular aortic repair (TEVAR) for cardiovascular diseases often encounters complications that are closely linked to the mechanical properties of stent-grafts. Both the design and material properties influence device performance, but the specific impacts of material properties remain underexplored and poorly understood. This study aims to fill this gap by systematically investigating how material science can modulate stent-graft mechanics. Four types of bare nitinol stents combined with expanded polytetrafluoroethylene (e-PTFE) or polyethylene terephthalate (PET) grafts were modeled via finite element analysis, creating eight stent-graft configurations. Key mechanical properties—flexibility, crimpability, and fatigue performance—were evaluated to dissect material effects. The results revealed that nitinol’s properties significantly influenced all performance metrics, while PET grafts notably enhanced flexibility and fatigue life. No significant differences in equivalent stress were found between PET and e-PTFE grafts, and both had minimal impacts on radial force. This work underscores the potential of material science-driven optimization to enhance stent-graft performance for improved clinical outcomes. Full article
(This article belongs to the Special Issue Advances in Porous Lightweight Materials and Lattice Structures)
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25 pages, 9220 KiB  
Article
Investigation of Stress Intensity Factors in Welds of Steel Girders Within Steel–Concrete Composite Structures
by Da Wang, Pengxin Zhao, Yuxin Shao, Wenping Peng, Junxin Yang, Chenggong Zhao and Benkun Tan
Buildings 2025, 15(15), 2653; https://doi.org/10.3390/buildings15152653 - 27 Jul 2025
Viewed by 229
Abstract
Fatigue damage in steel–concrete composite structures frequently initiates at welded joints due to stress concentrations and inherent defects. This study investigates the stress intensity factors (SIFs) associated with fatigue cracks in the welds of steel longitudinal beams, employing the FRANC3D–ABAQUS interactive technique. A [...] Read more.
Fatigue damage in steel–concrete composite structures frequently initiates at welded joints due to stress concentrations and inherent defects. This study investigates the stress intensity factors (SIFs) associated with fatigue cracks in the welds of steel longitudinal beams, employing the FRANC3D–ABAQUS interactive technique. A finite element model was developed and validated against experimental data, followed by the insertion of cracks at both the weld root and weld toe. The influences of stud spacing, initial crack size, crack shape, and lack-of-penetration defects on Mode I SIFs were systematically analyzed. Results show that both weld root and weld toe cracks are predominantly Mode I in nature, with the toe cracks exhibiting higher SIF values. Increasing the stud spacing, crack depth, or crack aspect ratio significantly raises the SIFs. Lack of penetration defects further amplifies the SIFs, especially at the weld root. Based on the computed SIFs, fatigue life predictions were conducted using a crack propagation approach. These findings highlight the critical roles of crack geometry and welding quality in fatigue performance, providing a numerical foundation for optimizing welded joint design in composite structures. Full article
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21 pages, 4886 KiB  
Article
Field-Test-Driven Sensitivity Analysis and Model Updating of Aging Railroad Bridge Structures Using Genetic Algorithm Optimization Approach
by Rahul Anand, Sachin Tripathi, Celso Cruz De Oliveira and Ramesh B. Malla
Infrastructures 2025, 10(8), 195; https://doi.org/10.3390/infrastructures10080195 - 25 Jul 2025
Viewed by 227
Abstract
Aging railroad bridges present complex challenges due to advancing deterioration and outdated design assumptions. This study develops a comprehensive analytical approach for assessing an aging steel truss railroad bridge through finite element (FE) modeling, sensitivity analysis, and model updating, supported by field testing. [...] Read more.
Aging railroad bridges present complex challenges due to advancing deterioration and outdated design assumptions. This study develops a comprehensive analytical approach for assessing an aging steel truss railroad bridge through finite element (FE) modeling, sensitivity analysis, and model updating, supported by field testing. An initial FE model of the bridge was created based on original drawings and field observations. Field testing using a laser Doppler vibrometer captured the bridge’s dynamic response (vibrations and deflections) under regular train traffic. Key structural parameters (material properties, section properties, support conditions) were identified and varied in a sensitivity analysis to determine their influence on model outputs. A hybrid sensitivity analysis combining log-normal sampling and a genetic algorithm (GA) was employed to explore the parameter space and calibrate the model. The GA optimization tuned the FE model parameters to minimize discrepancies between simulated results and field measurements, focusing on vertical deflections and natural frequencies. The updated FE model showed significantly improved agreement with observed behavior; for example, vertical deflections under a representative train were matched within a few percent, and natural frequencies were accurately reproduced. This validated model provides a more reliable tool for predicting structural performance and fatigue life under various loading scenarios. The results demonstrate that integrating field data, sensitivity analysis, and model updating can greatly enhance the accuracy of structural assessments for aging railroad bridges, supporting more informed maintenance and management decisions. Full article
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11 pages, 2935 KiB  
Proceeding Paper
Crack Growth Modeling in CT Specimens: The Influence of Heat Treatment and Loading
by Raycho Raychev, Ivanka Delova, Tsvetomir Borisov and Yordan Mirchev
Eng. Proc. 2025, 100(1), 61; https://doi.org/10.3390/engproc2025100061 - 21 Jul 2025
Viewed by 31
Abstract
This study provides a combined numerical and analytical investigation of fatigue crack growth in compact tension specimens made of 42CrMo4 steel. Through simulations in ANSYS Workbench (SMART Crack Growth module) and numerical modeling in MATLAB, the model is validated by comparing its results [...] Read more.
This study provides a combined numerical and analytical investigation of fatigue crack growth in compact tension specimens made of 42CrMo4 steel. Through simulations in ANSYS Workbench (SMART Crack Growth module) and numerical modeling in MATLAB, the model is validated by comparing its results with the standard ASTM E399 and Paris’ law relationships. The effect of heat treatments and loading on crack growth rate was investigated. The results confirm the model’s applicability in predicting fatigue behavior in the linear–elastic region. Full article
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14 pages, 5148 KiB  
Proceeding Paper
Numerical Modeling and Analysis of Fatigue Failure in 42CrMo4 Steel Pivot Bolts at Different Heat Treatments
by Ivanka Delova, Tsvetomir Borisov, Yordan Mirchev and Raycho Raychev
Eng. Proc. 2025, 100(1), 52; https://doi.org/10.3390/engproc2025100052 - 17 Jul 2025
Viewed by 94
Abstract
This study presents a numerical model for analyzing fatigue crack growth in 42CrMo4 steel pivot bolts under different heat treatments and service loads. The finite element method (FEM) in the ANSYS Workbench environment (version 2019R1) (SMART Crack Growth), along with algorithms based on [...] Read more.
This study presents a numerical model for analyzing fatigue crack growth in 42CrMo4 steel pivot bolts under different heat treatments and service loads. The finite element method (FEM) in the ANSYS Workbench environment (version 2019R1) (SMART Crack Growth), along with algorithms based on Paris’s law implemented in MATLAB (version R2016a), was used. The results highlight the significant influence of heat treatment on fatigue resistance and serve as a basis for optimizing design parameters and improving the durability of the structural components. Full article
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18 pages, 1869 KiB  
Article
Cost Efficiency Evaluation of Ceramic Fiber, Glass Fiber, and Basalt Fiber-Reinforced Asphalt Mixtures
by Mohammad Fahad and Nagy Richard
Appl. Sci. 2025, 15(14), 7919; https://doi.org/10.3390/app15147919 - 16 Jul 2025
Viewed by 249
Abstract
The performance of SBS (Styrene Butadiene Styrene) modified asphalt mixtures can be enhanced through the addition of fibers including basalt, ceramic, and glass. This study investigates whether a reduced SBS content of 3%, combined with 0.3% fiber reinforcement can match or exceed the [...] Read more.
The performance of SBS (Styrene Butadiene Styrene) modified asphalt mixtures can be enhanced through the addition of fibers including basalt, ceramic, and glass. This study investigates whether a reduced SBS content of 3%, combined with 0.3% fiber reinforcement can match or exceed the performance of a traditional 7% SBS mixture. A comparative analysis was carried out by examining both performance efficiency and life cycle costs across ceramic, basalt, and glass fiber-reinforced mixtures. Maintenance requirements for each scenario were factored into the life cycle analysis. To assess structural integrity, 3D finite element simulations were conducted using the Burger’s logit model while focusing on fatigue and rutting damage. Findings indicate that basalt and ceramic fiber mixtures deliver better asphalt mixtures, thereby outperforming the 7% SBS mix by requiring fewer maintenance interventions. However, due to the higher cost of ceramic fiber mixtures at 831 Eur/m3, basalt fiber emerges as the more cost-effective option, achieving a performance efficiency gain of 20% with reduced costs at 532 Eur/m3. Among the fiber-reinforced variants, glass fiber showed the least improvement in performance, with a difference in 11% and 13% when compared to ceramic fiber and basal fiber, respectively. Full article
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18 pages, 5060 KiB  
Article
Research on Fatigue Strength Evaluation Method of Welded Joints in Steel Box Girders with Open Longitudinal Ribs
by Bo Shen, Ming Liu, Yan Wang and Hanqing Zhuge
Crystals 2025, 15(7), 646; https://doi.org/10.3390/cryst15070646 - 15 Jul 2025
Viewed by 232
Abstract
Based on the engineering background of a new type of segmental-assembled steel temporary beam buttress, the fatigue strength evaluation method of the steel box girders with open longitudinal ribs was taken as the research objective. The fatigue stress calculation analysis and the full-scale [...] Read more.
Based on the engineering background of a new type of segmental-assembled steel temporary beam buttress, the fatigue strength evaluation method of the steel box girders with open longitudinal ribs was taken as the research objective. The fatigue stress calculation analysis and the full-scale fatigue loading test for the steel box girder local component were carried out. The accuracy of the finite-element model was verified by comparing it with the test results, and the rationality of the fatigue strength evaluation methods for welded joints was deeply explored. The results indicate that the maximum nominal stress occurs at the weld toe between the transverse diaphragm and the top plate at the edge of the loading area, which is the fatigue-vulnerable location for the steel box girder local components. The initial static-load stresses at each measuring point were in good agreement with the finite-element calculation results. However, the static-load stress at the measuring point in the fatigue-vulnerable position shows a certain decrease with the increase in the number of cyclic loads, while the stress at other measuring points remains basically unchanged. According to the finite-element model, the fatigue strengths obtained by the nominal stress method and the hot-spot stress method are 72.1 MPa and 93.8 MPa, respectively. It is reasonable to use the nominal stress S-N curve with a fatigue life of 2 million cycles at 70 MPa and the hot-spot stress S-N curve with a fatigue life of 2 million cycles at 90 MPa (FAT90) to evaluate the fatigue of the welded joints in steel box girders with open longitudinal ribs. According to the equivalent structural stress method, the fatigue strength corresponding to 2 million cycles is 94.1 MPa, which is slightly lower than the result corresponding to the main S-N curve but within the range of the standard deviation curve. The research results of this article can provide important guidance for the anti-fatigue design of welded joints in steel box girders with open longitudinal ribs. Full article
(This article belongs to the Section Crystalline Metals and Alloys)
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19 pages, 4066 KiB  
Article
Mechanical Response and Fatigue Life Analysis of Asphalt Pavements Under Temperature-Load Coupling Conditions
by Zhenzheng Liu, Le Zhang, Yuan Gao, Yanying Dong, Yuhang Liu and Bo Li
Appl. Sci. 2025, 15(13), 7441; https://doi.org/10.3390/app15137441 - 2 Jul 2025
Viewed by 201
Abstract
The effects of heavy traffic and complex natural environmental conditions have made the problem of the inadequate life expectancy of asphalt pavements increasingly pronounced. In this study, finite-element software was used to establish the three-dimensional analytical model of temperature-load coupling under different axial [...] Read more.
The effects of heavy traffic and complex natural environmental conditions have made the problem of the inadequate life expectancy of asphalt pavements increasingly pronounced. In this study, finite-element software was used to establish the three-dimensional analytical model of temperature-load coupling under different axial loads and calculate the distribution law of temperature-load coupling stress under the most unfavorable loading conditions. By comparing temperature and coupled stresses at different depths, the extent to which combined stress changes due to environmental factors affect different depths was determined. Finally, the fatigue life patterns of asphalt pavements under different seasons and axle loads were analyzed. The results showed that the temperature-load coupling stress varied periodically under different axial loads. Among them, the temperature stress had less influence on the coupling stress in spring and fall and more influence in winter. As the depth increases, the coupling stresses and their range of influence gradually decrease. Also, the farther away from the wheel load position, the smaller the traveling load disturbance and the closer the coupling stresses were to the temperature stresses. Under the most unfavorable loading conditions, the change rule of the degree of influence of environmental effects along the depth direction showed that the winter gradually decreased, the spring and fall seasons for the first time decreased and then increased, and the minimum influence on the road surface was at 9 cm. Overall, the degree of influence of environmental action at different axial loads was 70.53%, 41.90%, 27.13%, and 23.77% along the depth direction. Full article
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20 pages, 5900 KiB  
Article
Vibration Damage Analysis of Bottom Hole Assembly Under Axial Impact Based on Dynamic Analysis
by Qilong Xue, Yafeng Li, Jianbo Jia and Lun Zhao
Appl. Sci. 2025, 15(13), 7388; https://doi.org/10.3390/app15137388 - 30 Jun 2025
Cited by 1 | Viewed by 227
Abstract
Impact Drilling Technology is one of the most effective methods for enhancing the penetration rate and efficiency in hard rock formations. Downhole axial vibration impact tools can provide a stable impact load, but they also increase the complexity of the Bottom Hole Assembly [...] Read more.
Impact Drilling Technology is one of the most effective methods for enhancing the penetration rate and efficiency in hard rock formations. Downhole axial vibration impact tools can provide a stable impact load, but they also increase the complexity of the Bottom Hole Assembly (BHA) motion. Addressing the problem of vibration fatigue in the lower BHA when subjected to high-frequency impact stresses during impact drilling, this study utilizes finite-element impact modules and Design-Life fatigue analysis software to establish a nonlinear dynamic model of the drill string assembly under axial excitation. It investigates the influence patterns of control parameters, such as the impact energy and impact frequency, on BHA vibration damage and rock-breaking efficiency. The results show that the vibration characteristics of the BHA are significantly affected by the impact tool’s control parameters. Increasing the input impact energy intensifies the amplitude of alternating stress in the drill string system. Meanwhile, the equivalent stress fluctuation of the drill string tends to stabilize at high frequencies above 100 Hz, indicating that high-frequency impacts are beneficial for mitigating vibration damage and prolonging the service life of the BHA. This study provides a theoretical basis for reducing the drill string fatigue damage and optimizing the drilling parameters for an improved performance. Full article
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20 pages, 5957 KiB  
Article
FBG Monitoring Information-Motivated Anti-Fatigue Performance Analysis of CFRP Composites Based on Non-Destructive Tests
by Fu-Kang Shen, Si-Kai Wang, Jia-Yi Zhang, Zhi-Gang Xia, Bao-Rui Peng, Yung William Sasy Chan, Ping Xiang and Hua-Ping Wang
Polymers 2025, 17(13), 1817; https://doi.org/10.3390/polym17131817 - 29 Jun 2025
Viewed by 316
Abstract
The wide-spread application of carbon fiber-reinforced polymer (CFRP) composites in industrial fields has led to high demand for developing a rapid detection method for assessing the structural performance of CFRP composites in operation based on optical fiber sensing technology. Therefore, the effectiveness and [...] Read more.
The wide-spread application of carbon fiber-reinforced polymer (CFRP) composites in industrial fields has led to high demand for developing a rapid detection method for assessing the structural performance of CFRP composites in operation based on optical fiber sensing technology. Therefore, the effectiveness and reliability of evaluating the fatigue resistance of CFRP plates based on fiber Bragg grating (FBG) monitoring information were explored. The strain response of CFRP plates at key positions under constant amplitude fatigue load was monitored by bare FBGs in series and packaged quasi-distributed FBGs in series. The structural performance and fatigue resistance characteristics of CFRP plates were evaluated by statistical analysis and fatigue life prediction theory. The validity and accuracy of the test and analysis results were demonstrated by finite element modeling analysis. Compared with the traditional methods that evaluate the structural fatigue performance based on mass destructive experiments, this method significantly improves the detection efficiency and realizes the non-destructive and rapid online evaluation of structural service performance. Research shows that the designed FBG sensors can effectively monitor the strain response of CFRP plate under fatigue load, and the correlated fatigue algorithm can provide feasible and reliable technical approaches for online detection and evaluation on the structural performance of CFRP components. Full article
(This article belongs to the Special Issue Innovative Application of Fiber-Reinforced Polymer Composites)
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14 pages, 2103 KiB  
Article
Analysis of Fatigue Performance of Metallic Components with Gradient Microstructures
by Pandi Zhao, Liheng Tuo, Hongrui Zhang, Zhiyan Sun, Shuai Ren, Gaihuan Yuan and Zebang Zheng
Crystals 2025, 15(7), 602; https://doi.org/10.3390/cryst15070602 - 27 Jun 2025
Viewed by 261
Abstract
Studying the fatigue performance of metallic components and optimizing their design from the perspectives of structure, microstructure, and service conditions has long been a critical research focus. In this study, a comprehensive analysis was conducted on the sealing performance and fatigue behavior of [...] Read more.
Studying the fatigue performance of metallic components and optimizing their design from the perspectives of structure, microstructure, and service conditions has long been a critical research focus. In this study, a comprehensive analysis was conducted on the sealing performance and fatigue behavior of W-shaped metallic sealing rings with varying microstructures. A novel simulation approach is proposed that replaces explicit gradient definitions with temperature conduction to address the issue of stress concentration at interfaces in the finite element modeling of gradient structures. Based on this method, a macroscopic finite element model was developed to simulate the plastic strain accumulation and springback of the sealing ring in service. Then, taking the stress evolution at the trough position of the sealing ring during service as a boundary condition, the evolution of stored-energy density and fatigue life of rings with different microstructures, including both homogeneous and gradient configurations, was quantitatively evaluated. The findings of this work provide valuable insights for the design of structural parameters and the optimization of forming process parameters in high-performance sealing-ring applications. Full article
(This article belongs to the Special Issue Crystallization of High Performance Metallic Materials (2nd Edition))
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16 pages, 1841 KiB  
Article
Fatigue Damage Prognosis Method for Main Girders of Cable-Stayed Bridges Based on Wavelet Neural Network
by Shan Huang, Rui Chen, Jun Ling and Nan Jin
Buildings 2025, 15(13), 2232; https://doi.org/10.3390/buildings15132232 - 25 Jun 2025
Viewed by 293
Abstract
At present, the research on bridge structure health monitoring mainly focuses on discovering existing structural damage and less on predicting when the damage will occur in the future. This paper proposes a fatigue damage prognosis method for the main girders of cable-stayed bridges [...] Read more.
At present, the research on bridge structure health monitoring mainly focuses on discovering existing structural damage and less on predicting when the damage will occur in the future. This paper proposes a fatigue damage prognosis method for the main girders of cable-stayed bridges based on wavelet neural networks (WNNs). This method integrates WNN with multi-scale finite element modeling to predict fatigue damage progression. First, the theoretical foundation and implementation algorithms of the WNN are elaborated on and applied to forecast the future load environments of cable-stayed bridges. Subsequently, multi-scale finite element models are employed to derive stress influence lines for critical fatigue-prone regions in the main girder of the cable-stayed bridge. Finally, fatigue reliability methods are utilized to predict the fatigue reliability indices, service life, and failure probabilities of critical fatigue details. The proposed prognosis method in this paper can accurately predict the future operation conditions and remaining service life of bridge structures so as to provide a more reasonable maintenance strategy for bridge structures. Full article
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18 pages, 33781 KiB  
Article
New Experimental Single-Axis Excitation Set-Up for Multi-Axial Random Fatigue Assessments
by Luca Campello, Vivien Denis, Raffaella Sesana, Cristiana Delprete and Roger Serra
Machines 2025, 13(7), 539; https://doi.org/10.3390/machines13070539 - 20 Jun 2025
Viewed by 238
Abstract
Fatigue failure, generated by local multi-axial random state stress, frequently occurs in many engineering fields. Therefore, it is customary to perform experimental vibration tests for a structural durability assessment. Over the years, a number of testing methodologies, which differ in terms of the [...] Read more.
Fatigue failure, generated by local multi-axial random state stress, frequently occurs in many engineering fields. Therefore, it is customary to perform experimental vibration tests for a structural durability assessment. Over the years, a number of testing methodologies, which differ in terms of the testing machines, specimen geometry, and type of excitation, have been proposed. The aim of this paper is to describe a new testing procedure for random multi-axial fatigue testing. In particular, the paper presents the experimental set-up, the testing procedure, and the data analysis procedure to obtain the multi-axial random fatigue life estimation. The originality of the proposed methodology consists in the experimental set-up, which allows performing multi-axial fatigue tests with different normal-to-shear stress ratios, by choosing the proper frequency range, using a single-axis exciter. The system is composed of a special designed specimen, clamped on a uni-axial shaker. On the specimen tip, a T-shaped mass is placed, which generates a tunable multi-axial stress state. Furthermore, by means of a finite element model, the system dynamic response and the stress on the notched specimen section are estimated. The model is validated through a harmonic acceleration base test. The experimental tests validate the numerical simulations and confirm the presence of bending–torsion coupled loading. Full article
(This article belongs to the Section Machines Testing and Maintenance)
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33 pages, 29536 KiB  
Article
Identification of Torsional Fatigue Properties of Titanium Alloy Turned Surfaces and Their Distribution Characteristics
by Bin Jiang, Dengyun Wang, Peiyi Zhao and Hongchao Sang
Appl. Sci. 2025, 15(12), 6767; https://doi.org/10.3390/app15126767 - 16 Jun 2025
Viewed by 279
Abstract
The intricate and dynamic cutting behavior observed in titanium alloy turning leads to non-uniform surface and subsurface properties in the workpiece, impacting torsional strength and fatigue life. A transient pose model, founded on the configuration of a turning tool, is developed to elucidate [...] Read more.
The intricate and dynamic cutting behavior observed in titanium alloy turning leads to non-uniform surface and subsurface properties in the workpiece, impacting torsional strength and fatigue life. A transient pose model, founded on the configuration of a turning tool, is developed to elucidate the evolution of the transition surface during transient turning. Through finite element simulation, the plastic deformation, residual stress, and work hardening rate of the machined surface and subsurface of a titanium alloy are quantitatively examined. The torsional strength and fatigue life calculation method is developed based on initial performance parameters derived from the finite element model. This method enables the correlation identification between surface morphology characteristics, surface and subsurface performance parameters, and fatigue properties. Surface morphology, scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDS) are employed to quantitatively analyze the surface features and elemental composition of the titanium alloy turning surface, unveiling their influence on torsional fatigue properties. The findings demonstrate the efficacy of the proposed models and methodologies in identifying the torsional fatigue properties and their distribution patterns of titanium alloy turning surfaces. Full article
(This article belongs to the Section Mechanical Engineering)
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22 pages, 5614 KiB  
Article
Fatigue Design Research on Notch–Stud Connectors of Timber–Concrete Composite Structures
by Zuen Zheng, Shuai Yuan and Guojing He
Buildings 2025, 15(12), 2033; https://doi.org/10.3390/buildings15122033 - 12 Jun 2025
Viewed by 513
Abstract
To investigate the mechanical behavior and damage mechanism of notch–stud connectors in timber–concrete composites under fatigue loading, fifteen push-out specimens in five groups were designed with load cycles as the key variable. Fatigue failure modes and mechanisms were analyzed to examine fatigue life, [...] Read more.
To investigate the mechanical behavior and damage mechanism of notch–stud connectors in timber–concrete composites under fatigue loading, fifteen push-out specimens in five groups were designed with load cycles as the key variable. Fatigue failure modes and mechanisms were analyzed to examine fatigue life, stiffness degradation, and cumulative damage laws of connectors. Numerical simulations with up to 100 load cycles explored timber/concrete damage effects on stud fatigue performance. Based on the results, an S-N curve was established, a fatigue damage model developed, and a fatigue design method proposed for such connectors. Primary failure modes were stud fracture and local concrete crushing in notches. Stiffness degradation followed an inverted “S”-shaped “fast–slow–fast” pattern. Using residual slip as the damage variable, a two-stage fatigue damage evolution model was constructed from the damage–cycle ratio relationship, offering a new method for shear connector fatigue damage calculation in timber–concrete composites and enabling remaining life prediction for similar composite beam connectors. Finite element simulations of push-out specimens showed high consistency between calculated and experimental fatigue life/damage results, validating the conclusions. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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