Relevant bibliographies by topics / Life Prediction Model

Contents

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

Academic literature on the topic 'Life Prediction Model'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Life Prediction Model"

1

Ahmad, J., U. Santhosh, and S. Hoff. "A Metal Matrix Composite Damage and Life Prediction Model." Journal of Engineering for Gas Turbines and Power 120, no. 4 (October 1, 1998): 825–32. http://dx.doi.org/10.1115/1.2818475.

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A simple analytical model is derived for the prediction of time-dependent deformation and damage response of metal matrix composites under fiber direction loading. The model can be used in conjunction with a number of viscoplastic constitutive models to describe the matrix material behavior. Damage in the form of progressive fiber fractures is incorporated using a mechanistic approach. The criterion for fiber fractures can be based on statistical information on fiber strength. When used in conjunction with a prescribed failure condition for a composite, the model provides a means for predictin
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Cruse, T. A., S. E. Stewart, and M. Ortiz. "Thermal Barrier Coating Life Prediction Model Development." Journal of Engineering for Gas Turbines and Power 110, no. 4 (October 1, 1988): 610–16. http://dx.doi.org/10.1115/1.3240179.

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Ceramic thermal barrier coating tests show that the coating fails by ceramic spallation. Analysis of life data indicates that cyclic thermal loading and thermal exposure play synergistic roles in controlling the spallation life of the coating. A life prediction algorithm has been developed, based on a damage accumulation algorithm that includes both cyclic and time-dependent damage. The cyclic damage is related to the calculated cyclic inelastic strain range in the ceramic coating; the time-dependent damage is related to the oxidation kinetics at the bond-ceramic interface. Cyclic inelastic st
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Pilsner, B., R. Hillery, R. McKnight, T. Cook, and M. Hartle. "Thermal barrier coating life prediction model." Surface and Coatings Technology 32, no. 1-4 (November 1987): 305–6. http://dx.doi.org/10.1016/0257-8972(87)90115-0.

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

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A fatigue life prediction model with multiaxis load is proposed. The model introduces a new effective cyclic parameter, equivalent stress on the critical surface, to modify the Suntech model. The new damage parameters are not related to empirical constants, hence more applicable for practical application in engineering. The multiaxis fatigue test was carried out with high-strength aluminum alloy 7075-T651, and the multiaxis fatigue life prediction of the test piece was conducted with the finite element software. The experiment result shows that the model proposed is effective for predicting th
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Salganik, Matthew J., Ian Lundberg, Alexander T. Kindel, Caitlin E. Ahearn, Khaled Al-Ghoneim, Abdullah Almaatouq, Drew M. Altschul, et al. "Measuring the predictability of life outcomes with a scientific mass collaboration." Proceedings of the National Academy of Sciences 117, no. 15 (March 30, 2020): 8398–403. http://dx.doi.org/10.1073/pnas.1915006117.

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How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly better than those from a simple benchmark model. Within each outcome, prediction error was strongly associated with the family being predicted and we
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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 functio
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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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Blake, J. W., and H. S. Cheng. "A Surface Pitting Life Model for Spur Gears: Part I—Life Prediction." Journal of Tribology 113, no. 4 (October 1, 1991): 712–18. http://dx.doi.org/10.1115/1.2920683.

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Surface pitting is a major failure mode for gears. Estimation of failure probability and service life are important in gear design. Current techniques give only a pass/fail rating based on semi-empirical methods. A predictive model for estimating service lives and failure probabilities has been developed. This paper discusses the life prediction analysis, which is based on propagation of a surface breaking crack under rolling/sliding contact conditions. The effects of both surface roughness and non-metallic inclusions can be included. While predicted lives are lower than expected, trends obser
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Hanson, R., D. Allsopp, T. Deng, D. Smith, M. S. A. Bradley, I. M. Hutchings, and M. K. Patel. "A model to predict the life of pneumatic conveyor bends." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 216, no. 3 (August 1, 2002): 143–49. http://dx.doi.org/10.1243/095440802320225284.

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A new approach to the prediction of bend lifetime in pneumatic conveyors, subject to erosive wear is described. Mathematical modelling is exploited. Commercial Computational Fluid Dynamics (CFD) software is used for the prediction of air flow and particle tracks, and custom code for the modelling of bend erosion and lifetime prediction. The custom code uses a toroidal geometry, and employs a range of empirical data rather than trying to fit classical erosion models to a particular circumstance. The data used was obtained relatively quickly and easily from a gas-blast erosion tester. A full-sca
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Lee, Jun Youn, and Soon Bok Lee. "GSW0309 Development of a creep-fatigue life prediction model for type 316L stainless steels." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _GSW0309–1—_GSW0309–5. http://dx.doi.org/10.1299/jsmeatem.2003.2._gsw0309-1.

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Dissertations / Theses on the topic "Life Prediction Model"

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Mishra, Madhav. "Model-based Prognostics for Prediction of Remaining Useful Life." Licentiate thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17263.

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Prognostics and healthmanagement (PHM) is an engineering discipline that aims to maintain the systembehaviour and function, and assure the mission success, safety andeffectiveness. Health management using a proper condition-based maintenance (CBM)deployment is a worldwide accepted technique and has grown very popular in manyindustries over the past decades. These techniques are relevant in environmentswhere the prediction of a failure and the prevention and mitigation of itsconsequences increase the profit and safety of the facilities concerned.Prognosis is the most critical part of this proce
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Huynh, Daniel Duc Cong. "Next generation probabilistic prediction model for submarine propulsion shaft life." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118664.

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Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 81-85).<br>With the development of the U.S. Navy's new COLUMBIA class ballistic missile submarine, the Navy plans to implement a new, longer oper
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Yu, Jianxiong. "Pavement Service Life Estimation And Condition Prediction." See Full Text at OhioLINK ETD Center (Requires Adobe Acrobat Reader for viewing), 2005. http://www.ohiolink.edu/etd/view.cgi?toledo1132896646.

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Dissertation (Ph.D.)--University of Toledo, 2005.<br>Typescript. "A dissertation [submitted] as partial fulfillment of the requirements of the Doctor of Philosophy degree in Engineering." Bibliography: leaves 69-74.
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Nowicki, Timothy. "Statistical model prediction of fatigue life for diffusion bonded Inconel 600 /." Online version of thesis, 2008. http://hdl.handle.net/1850/7984.

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Grobaski, Thomas. "Preliminary Research for the Development of a Hot Forging Die Life Prediction Model." Ohio University / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1102695461.

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Grobaski, Thomas C. "Preliminary research for the development of a hot forging die life prediction model." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1102695461.

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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 tempera
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Singley, Daniel Browne. "Longitudinal prediction of domain satisfaction and global life satisfaction test of a social cognitive model /." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2364.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Dept. of Counseling and Personnel Services. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Sarwade, Rohit Foster Winfred A. "Life prediction analysis of a subscale rocket engine combustor using a fluid-thermal-structural model." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/SARWADE_ROHIT_49.pdf.

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Aikio, Englund Rebecca. "A study of calculation models for fatigue life prediction : A thesis accomplished together with GKN Aerospace." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-67741.

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GKN Aerospace in Trollhättan don’t use the latest ANSYS version and need to upgrade their life analysis models. The aim with this thesis is to do a study of the new models and investigate the times required for the calculations. A flight mission were chosen and this mission together with different life analysis models were run in the GKN in house program Life Analysis System. The results were analyzed and depending on the results additional runs were made or the problem were sent to the life management group at GKN Aerospace. Strain levels versus time were also plotted for the runs with the ne
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Books on the topic "Life Prediction Model"

1

Strangman, T. E. Thermal barrier coating life-prediction model development: Second annual report. Phoenix, Ariz: Garrett Turbine Engine Co., 1986.

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Strangman, T. E. Thermal barrier coating life prediction model development: First annual report. Phoenix, AZ: Garrett Turbine Engine Co., 1985.

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Kitamura, Takayuki. Creep life prediction based on stochastic model of microstructurally short crack growth. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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Kitamura, Takayuki. Creep life prediction based on stochastic model of microstructurally short crack growth. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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Radhakrishnan, V. Application of an energy-based life prediction model to bithermal and thermomechanical fatigue. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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Radhakrishnan, V. Application of an energy-based life prediction model to bithermal and thermomechanical fatigue. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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Brenner, Martin J. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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Waskan, Jonathan A. Models and cognition: Prediction and explanation in everyday life and in science. Cambridge, Mass: MIT Press, 2006.

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

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Jones, Steven P. Neural network models of simple mechanical systems illustrating the feasibility of accelerated life testing. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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Book chapters on the topic "Life Prediction Model"

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Nizeyimana, F., and H. Issard. "A Kinetic Model for Predicting Polymeric Neutron Shieldings Lifetime." In Service Life Prediction of Exterior Plastics, 59–70. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06034-7_4.

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Wood, Kurt A., and Ségolène de Robien. "A Quantitative Model for Weathering-induced Mass Loss in Thermoplastic Paints." In Service Life Prediction of Polymeric Materials, 457–74. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-84876-1_30.

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Possan, E., J. J. O. Andrade, D. C. C. Dal Molin, and José Luis Duarte Ribeiro. "Model to Estimate Concrete Carbonation Depth and Service Life Prediction." In Hygrothermal Behaviour and Building Pathologies, 67–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50998-9_4.

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Hu, Changhua, Hongdong Fan, and Zhaoqiang Wang. "Degradation Modeling and Residual Life Prediction Based on Grey Predcition Model." In Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment, 213–27. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2267-0_10.

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Vona, Marco, and Benedetto Manganelli. "Economic Life Prediction Model of RC Buildings Based on Fragility Curves." In Computational Science and Its Applications -- ICCSA 2015, 771–81. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21470-2_56.

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Allen, D. H., A. L. Highsmith, and D. C. Lo. "A Continuum Damage Mechanics Model for Life Prediction of Laminated Composites." In Durability of Polymer Based Composite Systems for Structural Applications, 119–28. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3856-7_7.

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Niu, Wei, Jianping Zhao, Guozhen Wang, and Jiqiang Wang. "Remaining Useful Life Prediction of Aircraft Engine Based on Grey Model." In Lecture Notes in Electrical Engineering, 1125–33. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5912-6_83.

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Lee, Y. B., H. E. Kim, Y. C. Yoo, and J. H. Park. "Accelerated Life Test Model for Life Prediction of Piston Assemblies in Hydraulic Pump and Motor." In Experimental Mechanics in Nano and Biotechnology, 649–52. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-415-4.649.

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Kamde, D. R., B. Kondraivendhan, and S. N. Desai. "Service Life Prediction Model for Reinforced Concrete Structures Due to Chloride Ingress." In Advances in Structural Engineering, 1883–94. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2187-6_145.

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Song, Bong-Min, Bongtae Han, Avram Bar-Cohen, Rajdeep Sharma, and Mehmet Arik. "Hierarchical Reliability Model for Life Prediction of Actively Cooled LED-Based Luminaire." In MEMS and Nanotechnology, Volume 4, 189–90. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0210-7_27.

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Conference papers on the topic "Life Prediction Model"

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Ahmad, Jalees, Unnikrishnan Santhosh, and Sandra Hoff. "A Metal Matrix Composite Damage and Life Prediction Model." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-445.

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A simple analytical model is derived for the prediction of time dependent deformation and damage response of metal matrix composites under fiber direction loading. The model can be used in conjunction with a number of viscoplastic constitutive models to describe the matrix material behavior. Damage in the form of progressive fiber fractures is incorporated using a mechanistic approach. The criterion for fiber fractures can be based on statistical information on fiber strength. When used in conjunction with a prescribed failure condition for a composite, the model provides a means for predictin
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van Beek, A. "Validation model for service life prediction of concrete structures." In 2nd International RILEM Workshop on Life Prediction and Aging Management of Concrete Structures. RILEM Publications SARL, 2003. http://dx.doi.org/10.1617/2912143780.025.

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Meier, Susan Manning, David M. Nissley, Keith D. Sheffler, and Thomas A. Cruse. "Thermal Barrier Coating Life Prediction Model Development." In ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/91-gt-040.

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A thermal barrier coated (TBC) turbine component design system, including an accurate TBC life prediction model, is needed to realize the full potential of available TBC engine performance and/or durability benefits. The objective of this work, which was sponsored in part by NASA under the Hot Section Technology (HOST) Program (Contract NAS3-23944), was to generate a life prediction model for electron beam - physical vapor deposited (EB-PVD) zirconia TBC. Specific results include EB-PVD zirconia mechanical and physical properties, coating adherence strength measurements, interfacial oxide grow
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Xiong, Yanting, Xin Sui, and Ning-fei Wang. "Research on NEPE Propellant Life Prediction Model." In 51st AIAA/SAE/ASEE Joint Propulsion Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-3872.

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Wang, Hongyan, Xinglin Qi, and Yingwei Wu. "Application of storage life prediction model based on performance degradation distribution in fuze storage life prediction." In 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, RESOURCE AND ENVIRONMENTAL ENGINEERING (MSREE 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5005189.

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Xianxin, Cai, Guo Xiaojun, Wu Chunlai, and Mi Dong. "An EHM System and Its Life Prediction Model." In 2013 5th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2013. http://dx.doi.org/10.1109/cicn.2013.118.

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Tunga, Krishna, Joseph Ross, Kamal Sikka, and Bakul Parikh. "Fatigue Life Prediction Model Development for Decoupling Capacitors." In 2019 IEEE 69th Electronic Components and Technology Conference (ECTC). IEEE, 2019. http://dx.doi.org/10.1109/ectc.2019.00174.

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Wang, Jing, Jiwei Liu, and Bing Liu. "Slope anchor cable life evolution model and prediction." In 2016 2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA-16). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/wartia-16.2016.101.

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Mohanty, Subhasish, Aditi Chattopadhyay, and Pedro Peralta. "On-Line Life Prediction of a Structural Hotspot." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-646.

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Current aerospace practice follows an engineering model based on damage-tolerant reliability whereby structural components are regularly inspected and replaced. Under this practice, engineering designs are generally based on a physics-based fracture mechanics approach, in which the life of structural component is estimated using an assumed initial damaged condition. However, in a real time environment, keeping track of the damage condition of a complex structural component manually is quite difficult and requires automatic damage state estimation. The real-time damage state information can be
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Chan, K. S., and N. S. Cheruvu. "Field Validation of a TBC Life-Prediction Model for Land-Based Gas Turbines." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22226.

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The coating life-prediction model, COATLIFE, was previously developed for estimating the lifetimes of first-stage blades and vanes in land-based power-generation gas turbines on the basis of degradation mechanisms observed in laboratory and field data. For first-stage blades with thermal barrier coatings (TBCs), degradation mechanisms treated in COATLIFE include thermo-mechanical fatigue (TMF), Al depletion due to bond coat oxidation, sintering of voids and microcracks in TBC, and curvature effects. Material constants in COATLIFE were evaluated using laboratory data and subsequently utilized w
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Reports on the topic "Life Prediction Model"

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Ding, J. L., K. C. Liu, and C. R. Brinkman. Multiaxial deformation and life prediction model and experimental data for advanced silicon nitride ceramics. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10162954.

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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, December 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&amp;R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting
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Przystupa, M. A., and A. K. Vasudevan. Development of the Microstructure Based Stochastic Life Prediction Models. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada270453.

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Przystupa, Marek A., Jimin Zhang, and Annetta J. Luevano. Development of the Microstructure Based Stochastic Life Prediction Models. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada269880.

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Przystupa, Marek A., Jimin Zhang, and Annetta J. Luevano. Development of the Microstructure Based Stochastic Life Prediction Models. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada246447.

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Przystupa, Marek A. Development of the Microstructure Based Stochastic Life Prediction Models. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada237768.

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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg, and Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost
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Grendahl, Scott M., Franklyn Kellogg, Hoang Nguyen, and Matthew Motyka. Development of Life Prediction Models for High Strength Steel in a Hydrogen Emitting Environment. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada562867.

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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Abstract:
Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic f
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Gaver, Donald P., Patricia A. Jacobs, and I. G. O'Muircheartaigh. Regression Analysis of Hierarchical Poisson-Like Event Rate Data: Super- Population Model Effect on Predictions. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada230297.

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