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Journal articles on the topic 'Fatigue life prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kobayashi, Yukiyoshi, Yoshinao Kishimoto, and Toshihisa Ohtsuka. "OS8-9 Simple Method for Fatigue Life Prediction Based on Fatigue Mechanism(Fatigue life prediction,OS8 Fatigue and fracture mechanics,STRENGTH OF MATERIALS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 119. http://dx.doi.org/10.1299/jsmeatem.2015.14.119.

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2

Hayashi, Morihito. "Thermal fatigue life prediction." Materials Testing 46, no. 7-8 (2004): 374–78. http://dx.doi.org/10.1515/mt-2004-0374.

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Abstract For clarifying the behavior of thermal fatigue and verifying the role of Coffin-Manson’s law in thermal fatigue, out-of phase type thermal fatigue tests were carried out on ferritic ductile cast iron. As a result of the tests, the dependence of thermal fatigue life and the plastic strain produced in each cycle on cyclic peak temperature and the dependence of thermal fatigue life on cyclic plastic strain were made clear. Particularly, the exponent and the coefficient in the latter relationship, i.e. Coffin-Manson’s law, are kept constant over all ranges, including the phase transformat

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3

Bordossy, Andras, and Istvan Bogardi. "Fuzzy fatigue life prediction." Structural Safety 6, no. 1 (1989): 25–38. http://dx.doi.org/10.1016/0167-4730(89)90005-2.

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Zhang, Zhimei, and Xiaobo Wang. "Fatigue Life Prediction of FRP-Strengthened Reinforced Concrete Beams Based on Soft Computing Techniques." Materials 18, no. 2 (2025): 230. https://doi.org/10.3390/ma18020230.

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This paper establishes fatigue life prediction models using the soft computing method to address insufficient parameter consideration and limited computational accuracy in predicting the fatigue life of fiber-reinforced polymer (FRP) strengthened concrete beams. Five different input forms were proposed by collecting 117 sets of fatigue test data of FRP-strengthened concrete beams from the existing literature and integrating the outcomes from Pearson correlation analysis and significance testing. Using Gene Expression Programming (GEP), the effects of various input configurations on the accurac

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5

Takeda, Norio, and Tomohiro Naruse. "Accurate Prediction of Fatigue Life under Random Loading." Advanced Materials Research 891-892 (March 2014): 1347–52. http://dx.doi.org/10.4028/www.scientific.net/amr.891-892.1347.

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This study focuses on the method of predicting the fatigue life of materials subjected to random loading. Since random stress caused by random loading is rigorously expressed in the frequency domain as stress power spectral density (PSD), fatigue life should be predicted using stress PSD. We propose two adjustment methods of improving the accuracy of fatigue life prediction using stress PSD in the frequency domain. The method proposed by Dirlik is widely used for predicting the fatigue life in the frequency domain; however, it overestimates fatigue damage caused by large stress amplitude when

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6

Shangguan, Wen-Bin, Guo-feng Zheng, Tai-Kai Liu, Xiao-Cheng Duan, and Subhash Rakheja. "Prediction of fatigue life of rubber mounts using stress-based damage indexes." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 231, no. 8 (2015): 657–73. http://dx.doi.org/10.1177/1464420715608407.

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Prediction of fatigue lives of a rubber mount necessitate formulation of models for estimating fatigue life of the rubber materials used in the mount. Moreover, the prediction accuracy of the model is strongly dependent upon the choice of damage index that are based on different strain, energy or stress measures in the vicinity of critical locations of the rubber mount. In this study, relative performance of models employing different damage indices are evaluated for prediction of fatigue lives of rubber material and a drive-train rubber mount. A combined stress and an effective stress functio

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7

Kim, Ho Sung, and Saijie Huang. "S-N Curve Characterisation for Composite Materials and Prediction of Remaining Fatigue Life Using Damage Function." Journal of Composites Science 5, no. 3 (2021): 76. http://dx.doi.org/10.3390/jcs5030076.

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S-N curve characterisation and prediction of remaining fatigue life are studied using polyethylene terephthalate glycol-modified (PETG). A new simple method for finding a data point at the lowest number of cycles for the Kim and Zhang S-N curve model is proposed to avoid the arbitrary choice of loading rate for tensile testing. It was demonstrated that the arbitrary choice of loading rate may likely lead to an erroneous characterisation for the prediction of the remaining fatigue life. The previously proposed theoretical method for predicting the remaining fatigue life of composite materials i

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8

Negi, Pankaj. "Application of Machine Learning in Predicting the Fatigue behaviour of Materials Using Deep Learning." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 2 (2018): 541–53. http://dx.doi.org/10.17762/turcomat.v9i2.13858.

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Accurate prediction of the fatigue behaviour of materials is crucial for ensuring the reliability and durability of structural components in various engineering applications. Machine learning (ML) techniques have demonstrated significant potential in predicting fatigue behaviour by analysing complex datasets. This research paper explores the application of deep learning, a subset of ML, for predicting the fatigue behaviour of materials. The study focuses on the development and optimization of deep learning models to accurately predict fatigue life and failure modes based on material properties

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9

Rejovitzky, Elisha, and Eli Altus. "On single damage variable models for fatigue." International Journal of Damage Mechanics 22, no. 2 (2012): 268–84. http://dx.doi.org/10.1177/1056789512443902.

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This study focuses on an analytical investigation of the common characteristics of fatigue models based on a single damage variable. The general single damage variable constitutive equation is used to extract several fundamental properties. It is shown that at constant amplitude loads, damage evolution results are sufficient for predicting fatigue life under any load history. Two-level fatigue envelopes constitute an indirect measure of the damage evolution and form an alternative basis for life prediction. In addition, high-to-low and low-to-high envelopes are anti-symmetrical with respect to

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10

Choe, S. J., P. J. Eagle, N. S. Stoloff, and D. Lee. "Computer-Aided Fatigue Life Prediction." JOM 39, no. 10 (1987): 40. http://dx.doi.org/10.1007/bf03258968.

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11

Huston, R. J. "Fatigue life prediction in composites." International Journal of Pressure Vessels and Piping 59, no. 1-3 (1994): 131–40. http://dx.doi.org/10.1016/0308-0161(94)90148-1.

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12

Kang, Dong-Hyun, Gi-Tae Roh, Chang-Su Shim, and Kyoung-Chan Lee. "Fatigue Life Prediction for Stud Shear Connectors Based on a Machine Learning Model." Buildings 14, no. 10 (2024): 3278. http://dx.doi.org/10.3390/buildings14103278.

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The shear connector of a steel composite bridge is designed by predicting fatigue life using the fatigue strength curves (S-N curve) based on push-out test results. The fatigue strength curves of the current design codes present only a linear relationship between the stress range and fatigue life on a log scale based on push-out experiment results. However, an alternative to the current empirical formula is necessary for the fatigue design of shear connections involving many detailed variations or high strength steel materials. This study collected and reanalyzed data from push-out fatigue tes

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13

Weng, Jian Xin, Wen Hui Yue, Yong Xing Zhu, and Peng Hui Duan. "Fatigue Life Prediction Methods Evaluation for Remanufacturing Mechanical Parts." Key Engineering Materials 579-580 (September 2013): 573–79. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.573.

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Aiming at the demand of remanufacturing mechanical parts fatigue life prediction, the main methods of fatigue life prediction are reviewed and summarized. The finite element and dynamics combined simulation method has been widely used at present, whose advantages are that it is suitable for most of the mechanical parts, and the forecast cycle is short, and it can be analyzed combining with the parts actual working condition, but the prediction accuracy depends on the comprehensive degree to the service condition. The experimental method is the most traditional method, and the fatigue life valu

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14

Jiang, Yanyao, Fei Ding, and Miaolin Feng. "An Approach for Fatigue Life Prediction." Journal of Engineering Materials and Technology 129, no. 2 (2005): 182–89. http://dx.doi.org/10.1115/1.2400260.

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Fatigue process is described as the nucleation and growth of cracks to final failure. These two stages are generally modeled with completely different methods with no quantitative relationships between them. A number of fitting parameters are needed to consider different effects. The current work is aimed at developing a robust approach to predicting fatigue life from crack initiation to final fracture. Fatigue damage is related to the stresses and strains. Both crack nucleation and crack growth are governed by the same fatigue damage mechanisms and a single fatigue damage criterion can model

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15

Liu, Jun, and Feng Peng Zhang. "Fatigue Life Prediction of Composite Laminate." Advanced Materials Research 472-475 (February 2012): 591–95. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.591.

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Abstract. based on the accumulating fatigue damage model, with single ply plate theory and experiment data as the foundation, consider the interaction between adjacent layer and material degradation, a kind of fatigue life prediction method of fiber reinforced composite laminates is developed. The stiffness decline of each ply during cyclic loading is determined by the fatigue damage variable and the load amplitude and the fatigue life of any laminates can be predicted using the fatigue properties of single ply plate. Using this method a 3D Finite element model is established by ABAQUS softwar

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16

Fu, Zhuo, Xiang Li, Sha Zhang, Hanqing Xiong, Chi Liu, and Kun Li. "Establishment and Verification of Multiaxis Fatigue Life Prediction Model." Scanning 2021 (February 2, 2021): 1–6. http://dx.doi.org/10.1155/2021/8875958.

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A fatigue life prediction model with multiaxis load is proposed. The model introduces a new effective cyclic parameter, equivalent stress on the critical surface, to modify the Suntech model. The new damage parameters are not related to empirical constants, hence more applicable for practical application in engineering. The multiaxis fatigue test was carried out with high-strength aluminum alloy 7075-T651, and the multiaxis fatigue life prediction of the test piece was conducted with the finite element software. The experiment result shows that the model proposed is effective for predicting th

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17

Xing, Hai Yan, Min Qiang Xu, Ri Xin Wang, and Jia Zhong Zhang. "MMM Fatigue Damage Evaluation and Life Prediction Modeling for Ferromagnetic Materials." Key Engineering Materials 324-325 (November 2006): 619–22. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.619.

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The metal magnetic memory (MMM) technology, based on the magneto-elasticity and magneto-mechanical effect theory, has been applied to remaining fatigue life prediction. The correlation between fatigue life and MMM parameter has been investigated through rotary bending fatigue experiments. Steel X45 samples, with artificial cracks of different depth and breadth, are tested with MMM method. Based on the results of the metallographic examination, the feasibility of remaining fatigue life prediction is studied. A new remaining fatigue life MMM model of ferromagnetic material is presented. The prov

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18

Chen, Nian Jin, Zeng Liang Gao, Wei Zhang, and Yue Bao Le. "Study on Life Prediction Method for Creep-Fatigue Interaction at Elevated Temperature." Key Engineering Materials 353-358 (September 2007): 190–94. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.190.

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The law of low-cycle fatigue with hold time at elevated temperature is investigated in this paper. A new life prediction model for the situation of fatigue and creep interaction is developed, based on the damage due to fatigue and creep. In order to verify the prediction model, strain-controlled low-cycle fatigue tests at temperature 693K, 823K and 873K and fatigue tests with various hold time at temperature 823K and 873K for 316L austenitic stainless steel were carried out. Good agreement is found between the predictions and experimental results.

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19

Lei, Dong, Bin Kai Shi, Ge Li, and Jian Hua Zhao. "Fatigue Life Prediction Using Average Strain Range of Fatigue Process Zone." Applied Mechanics and Materials 29-32 (August 2010): 474–78. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.474.

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In low-cycle fatigue process, plastic strain takes place at notch root vicinity fast appears induced by high stress concentration. Plastic strain makes material non-uniform and the change of distribution of local stress. The approximation to stress concentration point of Neuber’s rule is not suitable for some plastic materials in engineering practice. In this paper, the average strain of fatigue process zone was considered to substitute Neuber strain for predicting fatigue life. Prediction results indicated that average strain range of fatigue process zone is more suitable than Neuber strain r

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20

Mahfuz, Hassan, Kamruz Zaman, Anwarul Haque, Costee Foy, Hisham Mohamed, and Shaik Jeelani. "Fatigue Life Prediction of Thick-Section S2-Glass/Vinyl-Ester Composites Under Flexural Loading1." Journal of Engineering Materials and Technology 122, no. 4 (2000): 402–8. http://dx.doi.org/10.1115/1.1289023.

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Fatigue life prediction of S2-Glass/Vinyl-ester composites has been studied analytically using the fatigue modulus concept. Traditionally it is assumed that the fatigue modulus degradation is a function of loading cycle only. In our present investigation, it is found that the fatigue modulus is not only a function of loading cycle but also a function of applied stress level and thickness of the specimen. Using this concept, a practical and applicable method for predicting fatigue life is established. The method requires two distinct parameters that arise from the mathematical formulation. Thes

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21

Zhang, J., D. Pirzada, C. C. Chu, and G. J. Cheng. "Fatigue Life Prediction After Laser Forming." Journal of Manufacturing Science and Engineering 127, no. 1 (2005): 157–64. http://dx.doi.org/10.1115/1.1828059.

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Analysis of the laser forming process has been focused on geometry, yield strength, and microstructure change in the past. However fatigue life has been the primary concern for engineering components in many applications. For laser forming to become a practical rapid prototyping tool, research has to be done to predict fatigue life of sheet metal after laser forming. Microstructure as well as the distribution of residual stresses and strains changes during laser forming process. The current models cannot predict the fatigue life after laser forming accurately because of differences in assumpti

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22

Li, Miaomiao, Jianxiong Gao, and Jianxing Zhou. "A Combined High and Low Cycle Fatigue Life Prediction Model for Wind Turbine Blades." Applied Sciences 15, no. 3 (2025): 1173. https://doi.org/10.3390/app15031173.

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A novel method is proposed for a combined high and low cycle fatigue (CCF) life prediction model based on Miner’s rule, incorporating load interactions and coupled damage effects to evaluate the fatigue life of wind turbine blades under CCF loading. The method refines the CCF damage curve by modeling the complex damage evolution process under L-H loading and establishes a life prediction model linking low cycle fatigue (LCF) and high cycle fatigue (HCF) damage curves for more accurate predictions. Compared to Miner’s rule, the M-H model, and the T-K model, the proposed approach demonstrates su

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23

Ma, Xipei, Xintian Liu, Haijie Wang, Jiachi Tong, and Xiaobing Yang. "Fatigue Life Prediction of Half-Shaft Using the Strain-Life Method." Advances in Materials Science and Engineering 2020 (August 5, 2020): 1–8. http://dx.doi.org/10.1155/2020/5129893.

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Fatigue life prediction is an important part of the reliability and durability analysis of automobile components. Based on Wang and Brown’s framework, multiaxial random fatigue damage was adopted to predict the fatigue life of half-shaft. The stress analysis of half-shaft was resolved analytically to determine the local stress tensor in the potential area of fracture. The maximum shear strain fatigue damage parameter and the normal stress fatigue damage parameter were evaluated to predict the fatigue life of half-shaft. The results show that the prediction method is reliable and meets the serv

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24

Wang, Mingji, and Wei Li. "FEA INVESTIGATION OF FACTORS AFFECTING BUMP FATIGUE LIFE." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2015, DPC (2015): 000639–55. http://dx.doi.org/10.4071/2015dpc-tp24.

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Second level interconnect (SLI) or board level reliability (BLR) solder joint fatigue has been investigated extensively by OEM, ODM and OSAT. The influencing factors are well understood that package form factor (FF) and BGA pattern are primary factors. Modeling and testing correlate well in identifying failure location and predicting fatigue life. Previously bump level (FLI) is less touched due to large pitch and less fatigue reliability concerns. With the technology shift to more Chip Scale Package (CSP) FF and finer bump pitch, bump fatigue failure frequently occurs and meeting the reliabili

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Ou, Chuangjie, and Junyu Guo. "Data-Driven Prediction of Metal Fatigue Life." Frontiers in Sustainable Development 5, no. 3 (2025): 405–30. https://doi.org/10.54691/20jg0s64.

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With the rapid development of additive manufacturing (AM) technology, its applications in aerospace, medical, and automotive industries are becoming increasingly widespread. This paper investigates the fatigue life prediction of additively manufactured metallic materials and proposes a parallel deep learning architecture combining Gated Recurrent Unit (GRU) and Transformer models, optimized using Hybrid Leader-Based Optimization (HLBO) to improve prediction accuracy. The model simultaneously processes the outputs of both GRU and Transformer models, leveraging their respective strengths to lear

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Xu, Yali, Xin Li, Yanjuan Zhang, and Jianwei Yang. "Ultra-Low Cycle Fatigue Life Prediction Model—A Review." Metals 13, no. 6 (2023): 1142. http://dx.doi.org/10.3390/met13061142.

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This article is a review of models for predicting ultra-low cycle fatigue life. In the article, the life prediction models are divided into three types: (1) microscopic ductile fracture models based on cavity growth and cavity merger; (2) fracture models based on porous plasticity; and (3) ductile fracture models based on continuum damage mechanics. Furthermore, the article provides a critical assessment of the current state of research on ultra-low cycle fatigue life prediction models, highlighting the limitations and challenges faced by each model type. Ultimately, this review aims to provid

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27

El Kadi, Hany A. "Fatigue Life Prediction of Composite Materials: Artificial Neural Networks vs. Polynomial Classifiers." Key Engineering Materials 471-472 (February 2011): 221–26. http://dx.doi.org/10.4028/www.scientific.net/kem.471-472.221.

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Artificial neural networks (ANN) and polynomial classifiers (PC) have been successfully used to predict the fatigue failure of fiber reinforced composite materials. This includes predicting the behavior of the same material subjected to different loading conditions as well as predicting the fatigue behavior of different materials. In this work, the fatigue life prediction obtained using both methods will be compared. The effect of the various parameters influencing the prediction will be presented and the advantages and disadvantages of each of the methods will be discussed.

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28

Li, Longbiao. "Fatigue life prediction of ceramic-matrix composites." Aircraft Engineering and Aerospace Technology 90, no. 5 (2018): 720–26. http://dx.doi.org/10.1108/aeat-01-2016-0014.

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PurposeThis paper aims to predict fatigue life and fatigue limit of fiber-reinforced ceramic-matrix composites (CMCs) with different fiber preforms, i.e. unidirectional, cross-ply, 2D-, 2.5D- and 3D-woven, at room and elevated temperatures.Design/methodology/approachUnder cyclic loading, matrix multicracking and interface debonding occur upon first loading to fatigue peak stress, and the interface wear appears with increasing cycle number, leading to degradation of the interface shear stress and fibers strength. The relationships between fibers fracture, cycle number, fatigue peak stress and i

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Wang, Zheng, A. Na Wang, Kai Guo, and Jiang Hua Cheng. "Study on Fatigue Life Prediction of Mechanical Components with Stochastic Cyclic Load Application." Advanced Materials Research 299-300 (July 2011): 949–54. http://dx.doi.org/10.4028/www.scientific.net/amr.299-300.949.

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Based on the nominal stress method for fatigue life prediction, the model for predicting the fatigue life of mechanical structures under random cyclic load is developed in this paper. The uncertainty of the cyclic loads applied on the mechanical structures is analyzed. With the number of load application as the life index, the fatigue life prediction models of mechanical structures under random cyclic load are developed with the probability weighted method and the Miner linear cumulated damage rule, when the relationships between fatigue life and stress can be expressed as the exponential func

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30

Mu, Peng Gang, and Xiao Peng Wan. "Fatigue Life Prediction of Composite Pin Joints." Applied Mechanics and Materials 697 (November 2014): 57–61. http://dx.doi.org/10.4028/www.scientific.net/amm.697.57.

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In this research, new progressive fatigue damage models are established to calculate the fatigue life and simulate damage process of composite pin joints. The proposed models based on residual strength and residual stiffness of unidirectional laminates, have three parameters to present the different damage state, which can accurately describe the growth process of fatigue damage propagation by the mathematical method. The fatigue damage models combining with stress analysis, failure analysis, and material property degradation process, can predict the fatigue life, damage state and residual mat

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31

Hu, Bing-Li, Yan-Wen Luo, Bin Zhang, and Guang-Ping Zhang. "A Comparative Investigation of Machine Learning Algorithms for Pore-Influenced Fatigue Life Prediction of Additively Manufactured Inconel 718 Based on a Small Dataset." Materials 16, no. 19 (2023): 6606. http://dx.doi.org/10.3390/ma16196606.

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Fatigue life prediction of Inconel 718 fabricated by laser powder bed fusion was investigated using a miniature specimen tests method and machine learning algorithms. A small dataset-based machine learning framework integrating thirteen kinds of algorithms was constructed to predict the pore-influenced fatigue life. The method of selecting random seeds was employed to evaluate the performance of the algorithms, and then the ranking of various machine learning algorithms for predicting pore-influenced fatigue life on small datasets was obtained by verifying the prediction model twenty or thirty

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Li, Zhaoji, Weibing Dai, Haitao Yue, et al. "Fatigue Life Prediction of 2024-T3 Clad Al Alloy Based on an Improved SWT Equation and Machine Learning." Materials 18, no. 2 (2025): 332. https://doi.org/10.3390/ma18020332.

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The multi-parameter and nonlinear characteristics of the Smith Watson Topper (SWT) equation present considerable challenges for predicting the fatigue life of 2024-T3 clad Al alloy. To overcome these challenges, a novel model integrating traditional fatigue analysis methods with machine learning algorithms is introduced. An improved SWT fatigue life prediction equation is developed by incorporating key factors such as the mean stress effect, stress concentration factor, and surface roughness coefficient. Extreme gradient boosting, Random Forest, and their derived models are used to construct t

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Yuan, Jiang, Songtao Lv, Xinghai Peng, Lingyun You, and Milkos Borges Cabrera. "Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture." Materials 13, no. 15 (2020): 3325. http://dx.doi.org/10.3390/ma13153325.

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Strength and fatigue life are essential parameters of pavement structure design. To accurately determine the pavement structure resistance of rubber asphalt mixture, the strength tests at various temperatures, loading rate, and fatigue tests at different stress levels were conducted in this research. Based on the proposed experiments, the change law of rubber asphalt mixture strength with different temperatures and loading rates was revealed. The phenomenological fatigue equation of rubber asphalt mixture was established. The genetic algorithm optimized backpropagation neural network (GA-BPNN)

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McEwen, Everett, and George Tsiatas. "Use of Fatigue Fuses for Prediction of Fatigue Life of Steel Bridges." Transportation Research Record: Journal of the Transportation Research Board 1544, no. 1 (1996): 71–78. http://dx.doi.org/10.1177/0361198196154400109.

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The fatigue fuse is a device for predicting the fatigue life of steel highway bridge members when the bridge is subject to variable loads. The fuse is calibrated so that the cracking of each of its four legs can be related to damage in the structure. In a preliminary laboratory study, fatigue fuses are attached to eight steel girders, selected to represent three types of structural details found in existing highway bridges. The fuses are cemented to the girders and the girders subjected to a constant-amplitude fatigue loading. Cracking of the fatigue fuses is monitored by checking electrical c

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Koh, Seungkee, and Taehyun Baek. "P-18 Fatigue life prediction of an automotive steering drag link." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _P—18–1_—_P—18–5_. http://dx.doi.org/10.1299/jsmeatem.2007.6._p-18-1_.

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Wang, Jialiang, Dasheng Wei, Yanrong Wang, and Xianghua Jiang. "A Fatigue Life Prediction Model Based on Modified Resolved Shear Stress for Nickel-Based Single Crystal Superalloys." Metals 9, no. 2 (2019): 180. http://dx.doi.org/10.3390/met9020180.

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In this paper, the viewpoint that maximum resolved shear stress corresponding to the two slip systems in a nickel-based single crystal high-temperature fatigue experiment works together was put forward. A nickel-based single crystal fatigue life prediction model based on modified resolved shear stress amplitude was proposed. For the four groups of fatigue data, eight classical fatigue life prediction models were compared with the model proposed in this paper. Strain parameter is poor in fatigue life prediction as a damage parameter. The life prediction results of the fatigue life prediction mo

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SHI, GUANGLIN, LIN ZHU, and DONGBIN WEI. "A NEW PREDICTION APPROACH FOR THE STRUCTURAL FATIGUE LIFE BASED ON MULTI-FACTOR CORRECTION." Surface Review and Letters 25, no. 05 (2018): 1850095. http://dx.doi.org/10.1142/s0218625x18500956.

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As the phenomenon of fatigue damage is a common failure mode of equipment, the reliability evaluation and life prediction have become a hot-spot. The precise prediction of fatigue life in the initiation stage has become necessary. The common prediction study for structural fatigue life takes less influence factors into consideration. The common prediction results of fatigue life cannot be quantitatively corrected by the influence factors at the same time. This paper presents a research on the prediction approach for structural fatigue life based on the multi-factor correction. The influence of

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38

Harris, T. A. "Prediction of Ball Fatigue Life in a Ball/V-Ring Test Rig." Journal of Tribology 119, no. 3 (1997): 365–70. http://dx.doi.org/10.1115/1.2833494.

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Standard load and life ratings of ball bearings are based on fatigue failure of the bearing inner and outer raceway surfaces. The rating equations are derived from the mathematical and experimental work of Gustav Lundberg and Arvid Palmgren conducted in Sweden during the 1930s and 1940s; they considered the occurrence of subsurface-initiated, ball fatigue failure highly improbable. In modern ball bearings, this phenomenon occurs occasionally, creating the need for a life prediction means. Ball/v-ring rig fatigue endurance testing is a currently used method to screen ball materials and processi

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Sulisetyono, Aries, and Muammar Kadhafi. "Fatigue Life Prediction for Warship Operation in Indonesian Water." Applied Mechanics and Materials 874 (January 2018): 140–46. http://dx.doi.org/10.4028/www.scientific.net/amm.874.140.

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The fatigue life of a corvette ship structural detail was predicted by using a spectral fatique analysis. The fluctuated wave load act to the ship’s structure in regular wave was estimated by using Diffraction Theory. The stress spectrum was defined using analytical approach consider to the design constructions of ship. The operational routes of a corvette ship were determined in Indonesian water condition for a year period of ship’s mission. The sea condition was ilustrated in term of wave spectrum which was developed using the ITTC formula. The spectral response of stress bending moment was

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Zhao, Er Nian, and Wei Lian Qu. "Multiaxial Fatigue Life Prediction of Metallic Materials Based on Critical Plane Method under Non-Proportional Loading." Key Engineering Materials 730 (February 2017): 516–20. http://dx.doi.org/10.4028/www.scientific.net/kem.730.516.

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The critical plane method is widely discussed because of its effectiveness for predicting the multiaxial fatigue life prediction of metallic materials under the non-proportional loading conditions. The aim of the present paper is to give a comparison of the applicability of the critical plane methods on multiaxial fatigue life prediction. A total of 205 multiaxial fatigue test data of nine kinds of metallic materials under various strain paths are adopted for the experimental verification. Results shows that the von Mises effective strain parameter and KBM critical plane parameter can give wel

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Lei, Dong, Ge Li, Bin Kai Shi, and Jian Hua Zhao. "An Improved Model for Predicting Fatigue Crack Initiation Life of GH4169." Applied Mechanics and Materials 29-32 (August 2010): 468–73. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.468.

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An improved model has been developed to predict fatigue crack initiation life using the criterion of minimizing the Gibbs free energy change considering plastic energy. The prediction process was described in this paper and used to predict the fatigue crack initiation life of notched GH4169 superalloy rolled bar at room temperature and 450°C. The results are acceptable for fatigue crack initiation life prediction in engineering experience and show that the improved model for predicting fatigue crack initiation life as an extension of the concept of minimizing the Gibbs free energy change consi

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Woo, Chang Su, Wan Doo Kim, Jae Do Kwon, and Wan Soo Kim. "Fatigue Life Prediction of the Vulcanized Natural Rubber." Key Engineering Materials 297-300 (November 2005): 16–21. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.16.

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Fatigue lifetime prediction methodology of the vulcanized natural rubber was proposed by incorporating the finite element analysis and fatigue damage parameter determined from fatigue test. Finite element analysis of 3D dumbbell specimen of natural rubber was performed based on a hyper-elastic material model determined from the tension, compression and shear tests. Stroke controlled fatigue tests were conducted using fatigue specimens at different levels of mean strain. The Green-Lagrange strain at the critical location determined from the FEM was used for evaluating the fatigue damaged parame

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43

Mars, W. V. "Fatigue Life Prediction for Elastomeric Structures." Rubber Chemistry and Technology 80, no. 3 (2007): 481–503. http://dx.doi.org/10.5254/1.3548175.

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Abstract Elastomeric structures subjected to fluctuating loads can fail due to the nucleation and growth of cracks. To prevent such failures requires understanding of the physics underlying fatigue failure, approaches for characterizing material behavior, and methods for evaluating the effects of a given duty cycle. Duty cycles can be complex, often involving simultaneous loading in multiple directions, and non-periodic variations of the load. By considering how the loads applied to a structure are transformed into the experiences of individual cracks, a rational framework for predicting fatig

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44

Kutt, Tiiu V., and M. P. Bieniek. "Cumulative damage and fatigue life prediction." AIAA Journal 26, no. 2 (1988): 213–19. http://dx.doi.org/10.2514/3.9875.

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KATO, Takanori, Miyuki YAMAMOTO, Isao SAWAGUCHI, and Tetsuo YONEZAWA. "Fatigue Life Prediction of Coiled Tubing." Journal of the Society of Materials Science, Japan 52, no. 11 (2003): 1351–56. http://dx.doi.org/10.2472/jsms.52.1351.

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Kawagoishi, Norio, Hironobu Nisitani, Masahiro Goto, Toshinobu Toyohiro, and Satoshi Kitayama. "Prediction of Fatigue Life Considering Scatter." Transactions of the Japan Society of Mechanical Engineers Series A 59, no. 565 (1993): 2107–12. http://dx.doi.org/10.1299/kikaia.59.2107.

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Amiri, M. "Fatigue Life Prediction of Rivet Joints." Journal of Failure Analysis and Prevention 19, no. 6 (2019): 1844–52. http://dx.doi.org/10.1007/s11668-019-00788-7.

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Toland,, J., and T. Goswami,. "General Creep-Fatigue Life Prediction Models." Journal of the Mechanical Behavior of Materials 15, no. 1-2 (2004): 93–106. http://dx.doi.org/10.1515/jmbm.2004.15.1-2.93.

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Palma, E. S., and A. Cagnoni. "Fatigue life prediction of sintered steels." Powder Metallurgy 42, no. 4 (1999): 320–24. http://dx.doi.org/10.1179/003258999665666.

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Yani, Irsyadi, Hasan Basri, and Hafizd Ibrahim Marsil. "Fatigue Life Prediction in Journal Bearing,." International Journal on Smart Material and Mechatronics 2, no. 1 (2016): 34–37. http://dx.doi.org/10.20342/ijsmm.2.1.37.

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