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Journal articles on the topic 'Fatigue life prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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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 (July 1, 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 transformation range. And it shows that the thermal fatigue life can be predicted by tensile the properties of specimens at room temperature. By the way, the microstructure and the fracture surface of failed specimens were observed and the mechanism of thermal fatigue is discussed here.

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3

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

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4

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 the slope of the fatigue resistance curve is large. To prevent this overestimation, we applied our two adjustment methods to fatigue life prediction for typical random stresses observed on mechanical products. As a result, the adjustment methods worked well in improving prediction accuracy. Lightweight and reliable products can be therefore designed by applying the proposed methods to the evaluation of fatigue life under random loading.

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5

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 (October 6, 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 function are proposed as a damage index for predicting fatigue lives of rubber materials and the mounts. Different damage indices, identified from the finite element models of the rubber dumbbell cylindrical specimen are applied for formulations of fatigue life prediction models. The model parameters are identified from the measured data acquired for the rubber dumbbell cylindrical specimen under 31 different uniaxial displacement loads, using least squared error minimization technique. The identified models employing different damage indices are subsequently applied for predicting fatigue lives of rubber mounts under different magnitudes of loads applied along two different directions. The correlations of the predicted lives of the rubber mount from the models employing different damage indices with measured fatigue life data were subsequently investigated for the rubber mount subject to different load conditions. It is shown that the models identified for the rubber material could be effectively used for predicting fatigue lives of the mounts, which are made of same material. The fatigue lives predicted by the models considering either effective stress or combined stress as the damage index correlated with the measured data within a factor of two for the two, suggesting that stress-based damage indices could yield more accurate predictions of fatigue lives of typical mounts.

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6

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

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7

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

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8

Rejovitzky, Elisha, and Eli Altus. "On single damage variable models for fatigue." International Journal of Damage Mechanics 22, no. 2 (April 16, 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 each other. A new integral formula for life prediction under random loads is verified with the models of Manson and Hashin, and also developed analytically for other models including Chaboche, resulting in analytical predictions. The Palmgren – Miner rule is found to yield an upper bound for fatigue life predictions under random loads, regardless of the load distribution and the specific single damage variable model.

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9

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 (March 7, 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 involving the damage function was verified at a stress ratio of 0.4 for the first time. Both high to low and low to high loadings were conducted for predicting the remaining fatigue lives and a good agreement between predictions and experimental results was found. Fatigue damage consisting of cracks and whitening is described.

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10

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 range for predicting low-cycle fatigue life of LY12CZ.

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11

Jiang, Yanyao, Fei Ding, and Miaolin Feng. "An Approach for Fatigue Life Prediction." Journal of Engineering Materials and Technology 129, no. 2 (November 9, 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 both stages. A basic rule is that any material point fails to form a fresh crack if the total accumulated fatigue damage reaches a limit. The approach consists of two steps. Elastic-plastic stress analysis is conducted to obtain the detailed stress-strain responses. A general fatigue criterion is used to predict both fatigue crack nucleation and growth. Notched specimens made of 1070 steel were experimentally tested from crack initiation until fracture. The approach was applied to predict the fatigue life of 1070 steel and the predicted fatigue lives were in excellent agreement with the experimental observations.

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12

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 software and the fatigue life and the fatigue damage evolution of a T300 / QY8911 laminats are analyzed, the results are more closer to the experimental results.

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13

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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14

Nicholas, T. "Fatigue Life Prediction in Titanium Matrix Composites." Journal of Engineering Materials and Technology 117, no. 4 (October 1, 1995): 440–47. http://dx.doi.org/10.1115/1.2804737.

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Methods used for life prediction of titanium matrix composites under isothermal and thermomechanical (TMF) fatigue are reviewed. Models containing a single parameter are shown to have applicability only under limited conditions. Two models, a dominant damage and a life fraction model, demonstrate predictive capabilities over a broad range of loads, frequencies, temperatures, and TMF parameters. Relationships between the underlying fatigue mechanisms and the individual terms in the models are illustrated.

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15

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 (February 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 assumptions. This work presents a model to predict fatigue life of sheet metal after laser forming. Results from microstructure integrated finite element modeling of laser forming are incorporated in the fatigue life model. Low carbon steel is used in this work to validate the model. It is shown that the proposed model can predict the fatigue life of sheet metal after laser forming with good accuracy. The predictions from the model are consistent with experimental results. Effects of laser forming conditions on fatigue life of sheet metal are under investigation.

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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 the fatigue life under multiaxis load.

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17

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 value obtained by the method is reliable, but the method is entirely depend on experience, and the cost of experiments is expensive, so the feasibility is bad. The fatigue life analysis method can lower the dependence on large number of experiments, but there is a great distance between the predicting fatigue life and actual fatigue life in working environment. The metal magnetic memory non-destructive testing method doesnt damage the testing objects, but the method is still in the stage of further research at present. Finally, taking the number of experiments, prediction cycle, prediction accuracy, prediction cost and the complex degree of the principle involved in the prediction process as evaluation indexes, the finite element and dynamics combined simulation method is the best fatigue life prediction method according to the score values of each method calculated by the quantitative scores based on the expert evaluation method.

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18

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 proving experiments show the maximum error of remaining fatigue life is 4.58% between MMM model calculation and the actual life. The agreement of remaining fatigue life predicting values and testing values is found to be quite good.

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19

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 service life and safety requirements.

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20

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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21

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 (April 20, 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. These two parameters are determined in two ways. In one case, the parameters are determined using failure cycle numbers at two different stress levels. In the other case, the parameters are determined using fatigue modulus values at two different cycles at a particular stress level. These material parameters have been determined experimentally using both the procedures. Utilizing the experimental data two appropriate functions for these two material parameters were obtained and incorporated into the life prediction equation. Fatigue life predictions using this method have been found to be within 10 percent of the experimental values. [S0094-4289(00)02404-X]

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22

Mars, W. V. "Fatigue Life Prediction for Elastomeric Structures." Rubber Chemistry and Technology 80, no. 3 (July 1, 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 fatigue life can be developed.

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23

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

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24

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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25

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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26

Amiri, M. "Fatigue Life Prediction of Rivet Joints." Journal of Failure Analysis and Prevention 19, no. 6 (November 28, 2019): 1844–52. http://dx.doi.org/10.1007/s11668-019-00788-7.

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27

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

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28

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

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29

Yani, Irsyadi, Hasan Basri, and Hafizd Ibrahim Marsil. "Fatigue Life Prediction in Journal Bearing,." International Journal on Smart Material and Mechatronics 2, no. 1 (March 30, 2016): 34–37. http://dx.doi.org/10.20342/ijsmm.2.1.37.

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30

Skorupa, M., and A. Skorupa. "Fatigue life prediction of welded components." Theoretical and Applied Fracture Mechanics 6, no. 1 (August 1986): 1–10. http://dx.doi.org/10.1016/0167-8442(86)90044-3.

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31

Chisholm, C. J., and B. B. Harral. "The prediction of implement fatigue life." Journal of Agricultural Engineering Research 42, no. 3 (March 1989): 203–18. http://dx.doi.org/10.1016/0021-8634(89)90051-6.

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32

ADAM, T., G. FERNANDO, R. DICKSON, H. REITER, and B. HARRIS. "Fatigue life prediction for hybrid composites." International Journal of Fatigue 11, no. 4 (July 1989): 233–37. http://dx.doi.org/10.1016/0142-1123(89)90306-x.

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33

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 (January 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 continuity across each fuse leg. Tests are continued until girder failure or until all fuse legs are broken and the mean fatigue life of the girder as predicted by AASHTO is reached. The breaking of the fuse legs is used to predict the fatigue life of each girder, which is then compared with the actual cycles to failure of the girder and the AASHTO mean life. The prediction gives satisfactory agreement with the AASHTO mean life in four of the tests. In two tests, the predictions vary significantly from the AASHTO mean life. Although several critical issues remain (such as adapting the fatigue fuse to the environment of a real bridge and conducting tests on a statistically valid sample), the results of this feasibility study indicate that the fuse could be a valuable tool for highway bridge inspection.

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34

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 calculated by multiplication of wave spectrum and stress bending moment in regular wave for certain life time. Furthermore, the estimation of the fatigue life was performed by using Palmgren-Miner rule during its life time of operation. Finally, the fatigue life of a corvette ship was predicted about 84 years based on the mission and water condition of Indonesia.

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35

Li, Longbiao. "Fatigue life prediction of ceramic-matrix composites." Aircraft Engineering and Aerospace Technology 90, no. 5 (July 2, 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 interface wear damage mechanism have been established based on the global load sharing (GLS) criterion. The evolution of fibers broken fraction versus cycle number curves of fiber-reinforced CMCs at room and elevated temperatures have been obtained.FindingsThe predicted fatigue life S–N curve can be divided into two regions, i.e. the Region I controlled by the degradation of interface shear stress and fibers strength and the Region II controlled by the degradation of fibers strength.Practical/implicationsThe proposed approach can be used to predict the fatigue life and fatigue limit of unidirectional, cross-ply, 2D-, 2.5D- and 3D-woven CMCs under cyclic loading.Originality/valueThe fatigue damage mechanisms and fibers failure model were combined together to predict the fatigue life and fatigue limit of fiber-reinforced CMCs with different fiber preforms.

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36

Jung, C. K., and Kyung Seop Han. "Fatigue Life Prediction of Bolted Joints Using Fatigue Modulus." Key Engineering Materials 183-187 (April 2000): 1011–16. http://dx.doi.org/10.4028/www.scientific.net/kem.183-187.1011.

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37

HAN, Chul, Kyung Min NAM, Kwang Soo KIM, and Il Hyun CHO. "Multiaxial Fatigue Life Prediction under Irregular Loading(Fatigue 2)." Proceedings of the Asian Pacific Conference on Fracture and Strength and International Conference on Advanced Technology in Experimental Mechanics 1.01.203 (2001): 400–405. http://dx.doi.org/10.1299/jsmeatemapcfs.1.01.203.0_400.

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38

Manson, S. S., and U. Muralidharan. "FATIGUE LIFE PREDICTION IN BENDING FROM AXIAL FATIGUE INFORMATION." Fatigue & Fracture of Engineering Materials and Structures 9, no. 5 (May 1987): 357–72. http://dx.doi.org/10.1111/j.1460-2695.1987.tb00462.x.

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39

Hwang, W., and K. S. Han. "Fatigue of Composites—Fatigue Modulus Concept and Life Prediction." Journal of Composite Materials 20, no. 2 (March 1986): 154–65. http://dx.doi.org/10.1177/002199838602000203.

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40

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 material properties of composite structures under arbitrary loading conditions. Using the models, composite pin joints with different stacking sequence are analyzed, fatigue life and damage quantification are concluded simultaneously. The proposed models and the process of analysis provide a way to solve the fatigue durability of composite structures.

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Wang, Mingji, and Wei Li. "FEA INVESTIGATION OF FACTORS AFFECTING BUMP FATIGUE LIFE." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2015, DPC (January 1, 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 reliability requirement become more challenging. However, even bump fatigue becomes more prominent, still not enough effort has been invested due to the modeling complexity when UF is present. As the first step towards developing bump fatigue life prediction, we carried out parametric finite element analysis (FEA) and investigated the factors from material, packaging design aspects that are often neglected in BLR. FEA study showed that with the presence of underfill, more factors than SLI/BLR influence the bump fatigue failure prediction. Key parameters that could affect failure location and life prediction are presented here.

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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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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 function and the power function, respectively. Finally, the models proposed are used to predict the fatigue life of train axis.

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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 parameter of the natural rubber. It was shown that the maximum Green-Lagrange strain was proper damage parameter, taking the mean strain effects into account. Fatigue lives of the natural rubber are predicted by using the fatigue damage parameters at the critical location. Predicted fatigue lives of the natural rubber agreed fairly well the experimental fatigue lives a factor of two.

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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 (July 26, 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) is highly reliable for optimizing production processes in civil engineering, and it has a remarkable application effect. A GA-BPNN strength and fatigue life prediction model was created in this study. The reliability of the prediction model was verified through experiments. The results showed that the rubber asphalt mixture strength decreases and increases with the increase of temperature and loading rate, respectively. The goodness of fit of the rubber asphalt mixture strength and fatigue life prediction model based on the GA-BPNN could reach 0.989 and 0.998, respectively. The indicators of the fatigue life prediction model are superior to the conventional phenomenological fatigue equation model. The GA-BPNN provides an effective method for predicting the rubber asphalt mixture strength and fatigue life, which significantly improves the accuracy of the resistance design of the rubber asphalt pavement structure.

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Li, Shuangshuang, Xintian Liu, Xiaolan Wang, and Yansong Wang. "Fatigue life prediction for automobile stabilizer bar." International Journal of Structural Integrity 11, no. 2 (November 1, 2019): 303–23. http://dx.doi.org/10.1108/ijsi-07-2019-0063.

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Purpose During the running of automobile, the stabilizer bar is frequently subjected to the impact of complex random loads, which is prone to fatigue failure and accident. In regard to this, the purpose of this paper is to study and discuss fatigue life of automobile stabilizer bar. Design/methodology/approach Durability bench test shows that failure is located at the joint of sleeve and stabilizer bar body. Based on the collection and compilation of micro-strain load spectrum of the stabilizer bar, the strain-life model is studied considering the influence of average stress and maximum stress at failure area. Seven-grade strain-life curves of the stabilizer bar are established. According to the principle of linear damage accumulation, the relationship between fatigue life and damage is discussed, then the fatigue life of stabilizer bar is predicted. Fatigue life evaluation is carried out from three aspects: reliability analysis, static analysis and fatigue life simulation. Findings The results show that the reliability of the test sample is 99.9 percent when the confidence is 90 percent and the durability is 1,073 load spectrum cycles; the ratios of predicted and simulated life to design life are 2.77 and 2.30, respectively. Originality/value Based on the road load characteristics of automobile stabilizer bar, the method of fatigue life prediction and evaluation is discussed, which provides a basis for the design and development of automobile chassis components.

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Sehitoglu, Huseyin, and D. A. Boismier. "Thermo-Mechanical Fatigue of Mar-M247: Part 2—Life Prediction." Journal of Engineering Materials and Technology 112, no. 1 (January 1, 1990): 80–89. http://dx.doi.org/10.1115/1.2903191.

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A life prediction model is proposed based on microstructural observations of damage in thermo-mechanical fatigue and isothermal fatigue experiments on Mar-M247 Nickel based Superalloy. The model incorporates damage accumulation due to fatigue, environment (oxidation and γ′ depletion), and creep processes. The model is capable of predicting lives at different temperatures, strain rates and temperature-strain phasing conditions. The model successfully predicted the shorter lives at high strain amplitudes in in-phase thermo-mechanical fatigue cases and the shorter lives at lower strain amplitudes in out-of-phase thermo-mechanical fatigue cases and the associated crossover in life. The prediction of a nonproportional strain-temperature history (diamond shaped) was very satisfactory. A unified constitutive equation was utilized to predict the stresses, which influenced the creep damage term. The oxidation term is a function of mechanical strain range, temperature-strain phasing and incorporated oxidation and γ′ depletion kinetics.

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Harris, T. A. "Prediction of Ball Fatigue Life in a Ball/V-Ring Test Rig." Journal of Tribology 119, no. 3 (July 1, 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 processing methods, particularly for aircraft applications. As a first step toward predicting ball fatigue life in bearings, the Lundberg-Palmgren and Ioannides-Harris life prediction methods were applied to ball/v-ring test data. The latter method predicted ball fatigue lives which correlated well with the measured ball lives. The Lundberg-Palmgren life prediction method modified using currently accepted material-life and lubrication-life factors did not yield satisfactory correlation.

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Ioannides, E., and T. A. Harris. "A New Fatigue Life Model for Rolling Bearings." Journal of Tribology 107, no. 3 (July 1, 1985): 367–77. http://dx.doi.org/10.1115/1.3261081.

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This paper describes a novel model for the prediction of fatigue life in rolling bearings. Central to this model is the postulation of a statistical relationship between the probability of survival, the fatigue life, and a stress-related fatigue criterion level above a fatigue limit for an elementary volume of material in the bearing. Using this concept, the stress volume to fatigue and the fatigue life of the bearing can be calculated for different loads, material and operating conditions. Comparisons between experimentally obtained rolling bearing fatigue lives and lives predicted using this theory indicate its ability to account for phenomena hitherto excluded from fatigue life predictions. Furthermore, comparisons between experimentally obtained fatigue lives for other specimens used in structural fatigue tests and fatigue lives predicted using the new model show good agreement.

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Sanliturk, K. Y., and M. Imregun. "Fatigue Life Prediction Using Frequency Response Functions." Journal of Vibration and Acoustics 114, no. 3 (July 1, 1992): 381–86. http://dx.doi.org/10.1115/1.2930273.

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This paper presents a method for fatigue life prediction of engineering components subjected to dynamic loads. It is based on the determination of the nominal stress at the crack position using frequency response functions and this in turn enables the prediction of dynamic fatigue life under forced vibration. The main advantage of this approach lies in the fact that stresses used for fatigue life prediction are determined via a vibration analysis and hence not only elastic but also inertia and damping forces are included in the model. The implementation of the technique is discussed in the case of a bladed-disc assembly where single-blade mistuning is caused by a fatigue crack. It is believed that the proposed method has promising implications for safer designs and also for the prediction of inspection intervals, especially in rotating machinery applications where such considerations are of paramount importance.

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