Relevant bibliographies by topics / Fatigue life prediction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fatigue life prediction'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Fatigue life prediction"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Fatigue life prediction"

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Wertz, John Nicholas. "Isothermal Fatigue Life Prediction Techniques." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1363195868.

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Conner, Brett P. (Brett Page) 1975. "Contact fatigue : life prediction and palliatives." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/16866.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2002.
Includes bibliographical references (p. 125-135).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Fretting fatigue is defined as damage resulting from small magnitude (0.5-50 microns) displacement between contacting bodies where at least one of the bodies has an applied bulk stress. The applicability and limits of a fracture mechanics based life prediction is explored. Comparisons are made against highly controlled experiments and less controlled but more realistic experiments using a novel dovetail attachment fixture. Surface engineering approaches are examined from a mechanics perspective. Using a new tool, depth sensing indentation, the mechanical properties of an aluminum bronze coating are determined. Fretting fatigue experiments are performed on specimens coated with aluminum bronze and on specimens treated with low plasticity burnishing. Low plasticity burnishing is a new method of introducing beneficial compressive residual stresses without significant cold work at the surface. A mechanics based approach to the selection of palliatives is addressed.
by Brett P. Conner.
Ph.D.
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Ding, Fei. "A general approach for fatigue life prediction /." abstract and full text PDF (free order & download UNR users only), 2006. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3250682.

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Thesis (Ph. D.)--University of Nevada, Reno, 2006.
"December, 2006." Includes bibliographical references (leaves 77-94). Online version available on the World Wide Web. Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2006]. 1 microfilm reel ; 35 mm.
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Beheshti, Milad. "Fatigue life prediction of threaded pipe connection." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15588.

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In the oil and gas industry, threaded pipe connection is frequently used to connect the casing string, drill pipe strings or production and transportation risers and pipelines. The connection is normally preloaded in order to maintain a sealed and secure connection while in service and avoid leakage. Tapered thread are a common connection and in order to introduce preload to the threaded connection when they are assembled a certain make-up torque is going to be applied. The make-up torque plus external loads result in a multiaxial stress distribution over the connection, where the threaded connections act as stress risers. Environment such as waves and currents cause dynamic loads acting on the pipe line and offshore structures. The weakest point in offshore structure is the pipe connection because of fatigue crack initiated in the connection's threads. Researchers and engineers developed a variety of patented threaded pipe connection which all claiming to improve a connection's fatigue life. The experimental data for patented designs, available in literature, is limited. Most published studies usually comprise experiments on a single connection type. For detailed fatigue analysis those published studies cannot be used since there is no uniformity in testing setup, loading conditions and damage detection technique exist. Moreover, current design curves in codes and standards lead to overly conservative or inaccurate results. The aim of this work is to provide a better understanding of the fatigue mechanisms of threaded pipe connections and to study the effect of different design features on a connection's fatigue life. The final goal is to formulate guidelines for new fatigue resistant connection designs. API connection is used as a reference in this study. Several modifications and design features are applied to the connection type. To simulate the effect of these modifications, a parametric 2D axisymmetric finite element model, ABAQUS is used. 2D finite element result are compared with a 3D model to prove its validity for both make-up. In addition, the results of the 2D axisymmetric simulation are validated by static strain gauge measurements during a make-up test and an axial tension test. The validated model is then used to evaluated the influence of the connection properties and design features on the threaded connection's behaviour. Test rigs were designed to perform axial fatigue experiment on two scales: the small-scale experiments on 1" (33.4 mm outer diameter) connections are performed in axial fatigue testing, the medium scale tests on 4.5" (114.3 mm) connections are carried out under axial tension for which a setup is developed. The majority of the performed fatigue tests are small scale experiments. Several modified configurations are tested. The S-N curve is constructed, so that the effect of certain configuration on the connection's fatigue life can be quantified. The local modification of the threaded connection's geometry as well as the connection's contact condition's contact conditions can have an important influence on the fatigue life of the connection. A beach marking technique is used to visualized the crack fronts at different moments during the tests so that exact crack shape can be seen during post-mortem analysis. The result shown that a crack initiates at the root of the last engaged thread of the male part of the connection, and propagates slowly over a large segment of the circumference, forming a long shallow crack. When the crack penetrates the pipe wall, it rapidly increases in size along two crack fronts. The shape of crack observed in beach mark analysis do not have a semi-elliptical shape as commonly used in fracture mechanics. A fatigue crack growth analysis that considers the crack as an annular flaw, is effective in describing the crack growth behaviour. The experimentally obtained S-N curves and the result from the finite element simulations are combined in multiaxial damage evolution law. The observed trend in fatigue lives of the configuration are explained by using the fatigue analysis. Using a connection's thread load distribution as a measure for its fatigue life is proven to be inaccurate. The main reason for this is that the load distribution is related to axial stresses over the connection. The fatigue life of a threaded connection is determined by the local multiaxial stress distribution and strain range around the root of the last engaged thread. These local conditions are not only the result of the load distribution, but they are also affected by the hoop stress introduced during make-up, which can additionally be affected by a changed connection stiffness. The multiaxial damage evolution law is used to analyse the influence of several features on a connection's fatigue life. It is not for all patented modifications that an increased fatigue life is predicted when applied to the API connection. The final conclusion reached is that, in order to optimize a fatigue resistant connection, several design features must be combined together. The thread shape can be optimized to obtained a low stress concentration factor and reduce the local strains at the thread root. The connection's global geometry and make-up conditions can be optimized to improve the load distribution over the threads and reduce local stresses and strains at the threads.
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Critz, David Karl. "Computer aided fatigue life prediction for polymers." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10489.

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Miller, Mark. "Fatigue life prediction of nickel base superalloys." Thesis, University of Southampton, 2007. https://eprints.soton.ac.uk/68693/.

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Neural networks have been used extensively in material science with varying success. It has been demonstrated that they can be very effective at predicting mechanical properties such as yield strength and ultimate tensile strength. These networks require large amounts of input data in order to learn the correct data trends. A neural network modelling process has been developed which includes data collection methodology and subsequent filtering techniques in conjunction with training of a neural network model. It has been shown that by using certain techniques to ‘improve’ the input data a network will not only fit seen and unseen Ultimate Tensile Strength (UTS) and Yield Strength (YS) data but correctly predict trends consistent with metallurgical understanding. Using the methods developed with the UTS and YS models, a Low Cycle Fatigue (LCF) life model has been developed with promising initial results. Crack initiation at high temperatures has been studied in CMSX4 in both air and vacuum environments, to elucidate the effect of oxidation on the notch fatigue initiation process. In air, crack initiation occurred at sub-surface interdendritic pores in all cases. The sub-surface crack grows initially under vacuum conditions, before breaking out to the top surface. Lifetime is then dependent on initiating pore size and distance from the notch root surface. In vacuum conditions, crack initiation has been observed more consistently from surface or close-to-surface pores - indicating that surface oxidation is in-filling/”healing” surface pores or providing significant local stress transfer to shift initiation to sub-surface pores. Complementary work has been carried out using PWA 1484 and Rene N5. Extensive data has been collected on initiating pores for all 3 alloys. A model has been developed to predict fatigue life based upon geometrical information from the initiating pores. A Paris law approach is used in conjunction with long crack propagation data. The model shows a good fit with experimental data and further improvements have been recommended in order to increase the capability of the model.
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Leander, John. "Improving a bridge fatigue life prediction by monitoring." Licentiate thesis, KTH, Bro- och stålbyggnad, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-28618.

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For steel railway bridges, fatigue is the main reason for a limited service life. An initial prediction of the fatigue life is usually performed using loads and conservative assumptions stated in the governing standards. The result is used for decisions of further actions. Even if the result is an insufficient residual life, some bridges are not easy to strengthen or replace without causing large traffic disturbance. In this licentiate thesis, the real load effect is studied by monitoring a bridge during service. The aim is to improve the fatigue life prediction by reducing the uncertainties in the traffic load and finally attain a longer theoretical service life of the bridge. A case study of the Söderström Bridge in central Stockholm, one of Sweden’s most important railway bridges, is incorporated in the studies. Previously performed theoretical assessments have shown alarming results regarding the remaining fatigue life for some of the structural members in the bridge. To verify the result and hopefully receive more favorable stress ranges, the bridge was instrumented with a monitoring system in 2008. The bridge and the monitoring campaign are thoroughly presented. Owing to the large data volume produced by the monitoring system, robust routines and procedures for quality assurance have been required. A deterministic fatigue assessment is presented based on 43 days of continuous measurements comprising more than 17 thousand train passages. Unfortunately, also this fatigue assessment indicates high fatigue damages. A large monitoring system with many gauges enables a statistical evaluation of the quality of the measurements. By the principle of Analysis of Variance, a comparison of the stress range spectra can be performed with the aim of finding deviant spectra and corrupt gauges. An additional aspect is the length of the monitoring period, meaning the required duration for obtaining a stable result. A model for the convergence progress is proposed which could be incorporated in a monitoring system for use during service. The extensive monitoring program of the Söderström Bridge has resulted in reliable stress range spectra. By curve fitting and goodness-of-fit tests measured spectra have been compared with known statistical distributions. These distributions can be used for future fatigue reliability assessments.
QC 20110120
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ZARRIN, GHALAMI TOUHID. "Fatigue Life Prediction and Modeling of Elastomeric Components." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1367411090.

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Che, Yunxiang, and S3145469@student rmit edu au. "Aging structure life prediction and reliability assessment." RMIT University. SAMME, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20091113.114541.

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Confront with the serious aging problem in aircraft structure field, the profession was tasked to unveil the mysterious in the mechanism of aging. In decades, many endeavours were put into different subjects such as, fatigue and crack calculation, corrosion analysis, reliability evaluation, life prediction, structure monitor and protection, structure repair, etc. In an effort of developing a reasonable model for life prediction and reliability evaluation, a wide range of topics in the field of aging structure reliability are reviewed. Many existing methods and tools are carefully studied to distinguish the advantages, disadvantages and the special application. With consideration of corrosion fatigue life, and based on the data obtained through investigating service status of the aging aircraft, a fuzzy reliability approach is proposed and presented. Initially, the thesis presents the literature review in the field, introducing the well-established theories and analysis tools of reliability and points out how such these methods can be used to assess the life and reliability of aging structure. Meanwhile, some characteristic parameters and distributions, as well as some crucial calculation formulations, procedures for aging aircraft reliability/risk analysis are given. Secondly, mathematical models are established to evaluate the initial crack size and to assess both randomness and fuzziness of the variables, which also successfully work out the probability of survival of existing structures over a time period and predict the operation time under specific reliability requirement. As a practical approach to the reliability of aging aircraft structure, example is presented and evaluated. While conduct the calculation, a few programs based on FORTRAN code are developed to solve the none-linear equation, to work out the multi dimension integration and to simulate the survival probability. The crack life prediction software AFGROW is selected for comparison of the calculation results, which also shows the appropriate accuracy of the established model. As conclusion, the effects of some variables including fuzzy factors on reliability and life of aging aircraft structure are finally discussed. It is apparent that the confines of the model are existing as fact because of the huge assumption of the parameters input and model uncertainties. Suggestions on further prospective research are proposed respectively.
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Karl, Justin. "Thermomechanical Fatigue Life Prediction of Notched 304 Stainless Steel." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5796.

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The behavior of materials as they are subjected to combined thermal and mechanical fatigue loads is an area of research that carries great significance in a number of engineering applications. Power generation, petrochemical, and aerospace industries operate machinery with expensive components that undergo repeated applications of force while simultaneously being exposed to variable temperature working fluids. A case of considerable importance is found in steam turbines, which subject blades to cyclic loads from rotation as well as the passing of heated gases. The complex strain and temperature histories from this type of operation, combined with the geometric profile of the blades, make accurate prediction of service life for such components challenging. Development of a deterministic life prediction model backed by physical data would allow design and operation of turbines with higher efficiency and greater regard for reliability. The majority of thermomechanical fatigue (TMF) life prediction modeling research attempts to correlate basic material property data with simplistic strain and thermal histories. With the exception of very limited cases, these types of efforts have been insufficient and imprecise in their capabilities. Early researchers did not account for the multiple damage mechanisms that operate and interact within a material during TMF loads, and did not adequately address the extent of the relationship between smooth and notched parts. More recent research that adequately recognizes the multivariate nature of TMF develops models that handle life reduction through summation of constitutive damage terms. It is feasible that a modification to the damage-based approach can sufficiently include cases that involve complex geometry. The focus of this research is to construct an experimentally-backed extension of the damage-based approach that improves handling of geometric discontinuities. Smooth and notched specimens of Type 304 stainless steel were subjected to several types of idealized fatigue conditions to assemble a clear picture of the types of damage occurring in a steam turbine and similarly-loaded mechanical systems. These results were compared with a number of idealized TMF experiments, and supplemented by numerical simulation and microscopic observation. A non-uniform damage-summation constitutive model was developed primarily based on physical observations. An additional simplistic model was developed based on phenomenological effect. Findings from this study will be applicable to life prediction efforts in other similar material and load cases.
Ph.D.
Doctorate
Mechanical and Aerospace Engineering
Engineering and Computer Science
Mechanical Engineering
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Books on the topic "Fatigue life prediction"

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Ellyin, Fernand. Fatigue damage, crack growth, and life prediction. London: Chapman & Hall, 1997.

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Fatigue Damage, Crack Growth and Life Prediction. Dordrecht: Springer Netherlands, 1996.

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Ellyin, Fernand. Fatigue Damage, Crack Growth and Life Prediction. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1509-1.

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(Firm), Knovel, ed. Fatigue life prediction of composites and composite structures. Oxford: Woodhead Publishing, 2010.

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O'Brien, T. Kevin. Tension fatigue analysis and life prediction for composite laminates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1988.

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Kousky, Todd R. Conventional and probabilistic fatigue life prediction methodologies relevant to the P-3C aircraft. Monterey, Calif: Naval Postgraduate School, 1997.

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Jones, David J. Cyclic fatigue damage characteristics observed for simple loadings extended to multiaxial life prediction. Cleveland, Ohio: Lewis Research Center, 1988.

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Cui, Weicheng, Xiaoping Huang, and Fang Wang. Towards a Unified Fatigue Life Prediction Method for Marine Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41831-0.

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Alfred, Buch. Improvement of fatigue life prediction accuracy for various realistic loading spectra by use of correction factors. Haifa, Israel: Technion-Israel Institute of Technology, Dept. of Aeronautical Engineering, 1985.

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Lifetime prediction and constitutive modelling for creep fatigue interaction. Berlin: Borntraeger, 1996.

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Book chapters on the topic "Fatigue life prediction"

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Madsen, Henrik O. "Bayesian Fatigue Life Prediction." In Probabilistic Methods in the Mechanics of Solids and Structures, 395–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82419-7_37.

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Pang, John Hock Lye. "Fatigue Life Prediction Models." In Lead Free Solder, 49–63. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0463-7_4.

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Bolotin, V. V. "Fatigue Life Prediction of Structures." In Probabilistic Structural Mechanics: Advances in Structural Reliability Methods, 11–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85092-9_2.

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Madenci, Erdogan, Ibrahim Guven, and Bahattin Kilic. "Thermomechanical Fatigue Life Prediction Analysis." In Fatigue Life Prediction of Solder Joints in Electronic Packages with Ansys®, 17–68. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0255-5_2.

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Ellyin, Fernand. "Fatigue crack growth." In Fatigue Damage, Crack Growth and Life Prediction, 278–380. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1509-1_7.

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Pineau, A. "Elevated Temperature Life Prediction Methods." In Advances in Fatigue Science and Technology, 313–38. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2277-8_13.

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Bolotin, V. V. "Random Initial Defects and Fatigue Life Prediction." In Stochastic Approach to Fatigue, 121–63. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-2622-6_4.

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Ellyin, Fernand. "Probabilistic fatigue crack growth." In Fatigue Damage, Crack Growth and Life Prediction, 442–62. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1509-1_10.

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Ellyin, Fernand. "Fatigue of notched members." In Fatigue Damage, Crack Growth and Life Prediction, 381–414. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1509-1_8.

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Madenci, Erdogan, Ibrahim Guven, and Bahattin Kilic. "Mechanical Bending Fatigue Life Prediction Analysis." In Fatigue Life Prediction of Solder Joints in Electronic Packages with Ansys®, 69–86. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0255-5_3.

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Conference papers on the topic "Fatigue life prediction"

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Lawrence, Frederick V. "Total Fatigue Life Prediction Methods." In SAE Earthmoving Industry Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/981505.

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Castelluccio, Gustavo M., and David L. McDowell. "Fatigue Life Prediction of Microstructures." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85710.

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The formation and early growth of fatigue cracks in the high cycle fatigue regime is influenced by microstructuctural features such as grain size and morphological and crystallographic texture. However, most fatigue models do not predict the influence of the microstructure on early stages of crack formation, or they employ parameters that should be calibrated with experimental data from specimens with microstructures of interest. These post facto strategies are adequate to characterize materials, but they are not fully appropriate to aid in the design of fatigue-resistant engineering alloys. This paper presents a modeling framework that facilitates relative assessment of fatigue resistance among different microstructures. The scheme employs finite element simulations that explicitly render the microstructure and a methodology that estimates transgranular fatigue growth for microstructurally small cracks on a grain-by-grain basis, including consideration of growth within grains (embedded analytically) and stress redistribution as the cracks extend. The methodology is implemented using a crystal plasticity algorithm in ABAQUS and calibrated to study fatigue crack initiation of a bimodal grain size distribution found in RR1000 powder processed Ni-base superalloys for turbine disk applications.
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Jiang, Yanyao, Fei Ding, and Miaolin Feng. "An Approach for Fatigue Life Prediction." In ASME 2005 Pressure Vessels and Piping Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pvp2005-71607.

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Fatigue damage is generally described as the nucleation and growth of cracks to final failure. These two stages of fatigue damage are often modeled with completely different methods with no quantitative relationships between them. In addition, a number of fitting parameters are needed in order to consider different effects. The current work is aimed to develop a robust approach for the prediction of fatigue life from crack initiation to final fracture. The approach bridges the gap between the crack nucleation and growth regions. Based upon the conception that fatigue damage is directly related to the stresses and strains inside the material, it is assumed that 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. Crack growth is treated as a process of continuous crack nucleation without using the stress intensity factor or J-integral concept. The approach consists of two steps: stress analysis and fatigue damage prediction. Elastic-plastic stress analysis is conducted for the component to obtain the detailed stress-strain responses. By using a general fatigue criterion, fatigue crack nucleation and growth are predicted. Notched specimens made of 1070 steel were experimentally tested from crack initiation till 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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Enright, Michael, Steve Hudak, Craig McClung, and Harry Millwater. "Prognostics-Based Probabilistic Fatigue Life Prediction." In 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-1660.

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Zhang, Jun, Daniel Pirzada, Lloyd V. Smith, Chu Chin, and J. G. Cheng. "Fatigue life prediction after laser forming." In ICALEO® 2003: 22nd International Congress on Laser Materials Processing and Laser Microfabrication. Laser Institute of America, 2003. http://dx.doi.org/10.2351/1.5059975.

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Aistov, A. I., Yu V. Skvortsov, S. A. Chernyakin, and S. N. Perov. "Fatigue life prediction for expansion bellows." In ICNPAA 2016 WORLD CONGRESS: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. Author(s), 2017. http://dx.doi.org/10.1063/1.4972594.

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Wu, Huichao, Pingbo Wu, and Qingqun Lan. "Fatigue Life Prediction of Rubber Nodes." In Ninth International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41064(358)465.

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Fei, Guan, and Chen Ping. "Stress Analysis and Fatigue Life Prediction." In Passenger Car Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1986. http://dx.doi.org/10.4271/861395.

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BIENIEK, M. "Cumulative damage and fatigue life prediction." In 26th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-614.

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Liu, Yongming, and Sankaran Mahadevan. "Fatigue Life prediction under multiaxial loading." In 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-2321.

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Reports on the topic "Fatigue life prediction"

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Solomon, H. D., V. Brzozowski, and D. G. Thompson. Prediction of Solder Joint Fatigue Life. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada204335.

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Gallagher, J. P., R. H. van Stone, R. E. deLaneuville, P. Gravett, and R. S. Bellows. Improved High-Cycle Fatigue (HCF) Life Prediction. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada408467.

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Miyazaki, Takao, Hiroshi Kagaya, Takayuki Nishino, Nobutaka Murakami, Yuji Torigoe, and Masahiro Ikeda. Prediction of Cylinder Head Thermal Fatigue Life. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0533.

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Farmer, J., K. Kramer, and D. Williams. FATIGUE LIFE PREDICTION FOR STEELS IN PULSATING IRRADIATED SYSTEMS. Office of Scientific and Technical Information (OSTI), April 2012. http://dx.doi.org/10.2172/1082417.

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Chan, K. S., R. C. CmClung, and T. Y. Torng. Microstructure-Based Fatigue Life Prediction Methods for Naval Steel Structures. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada265429.

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Wong, F. M. G. Fatigue, fracture, and life prediction criteria for composite materials in magnets. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6570667.

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Jiang, Yanyao. Development of a Novel Approach for Fatigue Life Prediction of Structural Materials. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada494407.

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Ghosh, Somnath, Stanislav I. Rokhlin, and Harry Millwater. A Novel Probabilistic Multi-Scale Modeling and Sensing Framework for Fatigue Life Prediction of Aerospace Structures and Materials: DCT Project. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada583146.

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Lissenden, Cliff, Tasnin Hassan, and Vijaya Rangari. Monitoring microstructural evolution of alloy 617 with non-linear acoustics for remaining useful life prediction; multiaxial creep-fatigue and creep-ratcheting. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1214660.

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Mohanty, Subhasish, Jae Phil Park, and Joseph T. Listwan. A System-Level Framework For Fatigue Life Prediction of PWR Pressurizer-Surge-Line Nozzle under Design-Basis Loading Cycles. A complete tensile test based material properties database and preliminary results on 3D weld process modeling, thermal-mechanical stress analysis and environmental fatigue testing. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1571258.

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