Bibliografías temáticas / Failure physics

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Literatura académica sobre el tema "Failure physics"

Autor: Grafiati
Publicado: 1 de febrero de 2025
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Failure physics"

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Pecht, Michael, and Abhijit Dasgupta. "Physics-of-Failure: An Approach to Reliable Product Development." Journal of the IEST 38, no. 5 (1995): 30–34. http://dx.doi.org/10.17764/jiet.2.38.5.y3561m03801h0082.

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Reliability assessments based on physics-of-failure methods incorporate reliability into the design process to prevent parts from failing in service. An understanding of the physics-of-failure is necessary in applications that afford little opportunity for testing, or for reliability growth. This paper presents an overview of physics-of-failure and a case study of the application of physics-of-failure to a specific failure mechanism called conductive filament formation.
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Williams, Hollis. "Physics of Brittle Failure during Impact." Physics Teacher 62, no. 7 (2024): 575–78. http://dx.doi.org/10.1119/5.0136324.

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THADURI, ADITHYA, A. K. VERMA, V. GOPIKA, RAJESH GOPINATH, and UDAY KUMAR. "FAILURE MODELING OF CONSTANT FRACTION DISCRIMINATOR USING PHYSICS OF FAILURE APPROACH." International Journal of Reliability, Quality and Safety Engineering 20, no. 03 (2013): 1340002. http://dx.doi.org/10.1142/s0218539313400020.

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Due to several advancements in the technology trends in electronics, the reliability prediction by the constant failure methods and standards no longer provide accurate time to failure. The physics of failure methodology provides a detailed insight on the operation, failure point location and causes of failure for old, existing and newly developed components with consideration of failure mechanisms. Since safety is a major criteria for the nuclear industries, the failure modeling of advanced custom made critical components that exists on signal conditioning module are need to be studied with h
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SATO, Atsuro, Mikio SAKAI, and Seiichi KOSHIZUKA. "450 Slope Failure in Physics Based CG." Proceedings of The Computational Mechanics Conference 2008.21 (2008): 774–75. http://dx.doi.org/10.1299/jsmecmd.2008.21.774.

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Torigoe, Eugene T., and Gary E. Gladding. "Connecting symbolic difficulties with failure in physics." American Journal of Physics 79, no. 1 (2011): 133–40. http://dx.doi.org/10.1119/1.3487941.

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Jiao, Jian, Xinlin De, Zhiwei Chen, and Tingdi Zhao. "Integrated circuit failure analysis and reliability prediction based on physics of failure." Engineering Failure Analysis 104 (October 2019): 714–26. http://dx.doi.org/10.1016/j.engfailanal.2019.05.021.

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Zhang, Ren Peng, Yi Yong Hu, and Jun Yao. "Reliability Enhancement Test on Undercarriage Signal Light Box." Applied Mechanics and Materials 291-294 (February 2013): 2403–7. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2403.

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Based on the theory of failure physics, reliability enhancement test is a test technology of stimulation in order to improve reliability by discovering, researching and curing failure. In this paper, the main factors inducing failure modes of undercarriage light box were analyzed, and the environmental sensitive stresses affecting reliability were determined. The testing program was designed and test profiles were established based on the theory of reliability enhancement test. Additionally, the test results were analyzed based on failures of products in order to carry out improvement measures
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Rovelli, C., and I. A. Rybakova. "PHYSICS NEEDS PHILOSOPHY. PHILOSOPHY NEEDS PHYSICS." Metaphysics, no. 3 (December 15, 2021): 36–46. http://dx.doi.org/10.22363/2224-7580-2021-3-36-46.

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Contrary to claims about the irrelevance of philosophy for science, I argue that philosophy has had, and still has, far more influence on physics than is commonly assumed. I maintain that the current anti-philosophical ideology has had damaging effects on the fertility of science. I also suggest that recent important empirical results, such as the detection of the Higgs particle and gravitational waves, and the failure to detect supersymmetry where many expected to find it, question the validity of certain philosophical assumptions common among theoretical physicists, inviting us to engage in
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THADURI, ADITHYA, A. K. VERMA, V. GOPIKA, RAJESH GOPINATH, and UDAY KUMAR. "STRESS FACTOR AND FAILURE ANALYSIS OF CONSTANT FRACTION DISCRIMINATOR USING DESIGN OF EXPERIMENTS." International Journal of Reliability, Quality and Safety Engineering 20, no. 03 (2013): 1340003. http://dx.doi.org/10.1142/s0218539313400032.

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Reliability prediction using traditional approaches were implemented at earlier stages of electronics. But due to advancements in science and technology, the above models are outdated. The alternative approach, physics of failure provides exhaustive information on basic failure phenomenon with failure mechanisms, failure modes and failure analysis becomes prominent because this method depends on factors like materials, processes, technology, etc., of the component. Constant fraction discriminators which is important component in NFMS needs to study failure characteristics and this paper provid
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Osterman, M. D. "A Physics of Failure Approach to Component Placement." Journal of Electronic Packaging 114, no. 3 (1992): 305–9. http://dx.doi.org/10.1115/1.2905455.

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Traditionally, placement techniques have focused on improving rotability based on minimizing the total wire length between interconnected components. However, electronic card assembly (ECA) reliability, which is measured in terms of time to failure, cycles to failure, or the hazard rates of the individual components, the interconnections, and the PWB, is also affected by component placement. This paper discusses component placement for reliability based on a failure model which incorporates component temperature, a base operating temperature, a threshold temperature, and change in temperature.
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Tesis sobre el tema "Failure physics"

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Kodger, Thomas Edward. "Mechanical Failure in Colloidal Gels." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226100.

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When colloidal particles in a dispersion are made attractive, they aggregate into fractal clusters which grow to form a space-spanning network, or gel, even at low volume fractions. These gels are crucial to the rheological behavior of many personal care, food products and dispersion-based paints. The mechanical stability of these products relies on the stability of the colloidal gel network which acts as a scaffold to provide these products with desired mechanical properties and to prevent gravitational sedimentation of the dispersed components. Understanding the mechanical stability of such
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Thaduri, Adithya. "Physics-of-failure based performance modeling of critical electronic components." Doctoral thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-16877.

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Reliability prediction of the electronic components used in industrial safety systems requires high accuracy and compatibility with the working environment. The traditional reliability prediction methods that draw on standard handbooks such as MIL-HDBK 217F, Telcordia, PRISM etc., are not appropriate to determine the reliability indices of these components. For one thing, technology is constantly advancing; for another, the empirical data do not always match the actual working environment.The newest reliability prediction methodology, the physics-of-failure (PoF), emphasizes the ro
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Smith, Christopher John. "Holistic physics-of-failure approach to wind turbine power converter reliability." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12567/.

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As the cost of wind energy becomes of increasing importance to the global surge of clean and green energy sources, the reliability-critical power converter is a target for vast improvements in availability through dedicated research. To this end, this thesis concentrates on providing a new holistic approach to converter reliability research to facilitate reliability increasing, cost reducing innovations unique to the wind industry. This holistic approach combines both computational and physical experimentation to provide a test bench for detailed reliability analysis of the converter power mod
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Gu, Jie. "Prognostics of solder joint reliability under vibration loading using physics of failure approach." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9266.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Mechanical Engineering. 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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Qin, Jin. "A new physics-of-failure based VLSI circuits reliability simulation and prediction methodology." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7410.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Reliability Engineering. 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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Xin, Xudong. "An analytical and numerical analysis of dynamic failure based on the multi-physics involved /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3025668.

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Siddique, Shahnewaz. "Failure mechanisms of complex systems." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51831.

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Understanding the behavior of complex, large-scale, interconnected systems in a rigorous and structured manner is one of the most pressing scientific and technological challenges of current times. These systems include, among many others, transportation and communications systems, smart grids and power grids, financial markets etc. Failures of these systems have potentially enormous social, environmental and financial costs. In this work, we investigate the failure mechanisms of load-sharing complex systems. The systems are composed of multiple nodes or components whose failures are determined
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Hulman, Andrea. "Breaking Glass: Exploring the Relationship Between Kinetic Energy and Radial Fracturing in Plate Glass." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/scripps_theses/95.

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When glass breaks from the impact of an object, it exhibits a distinctive shattering pattern comprised of two different regions. This pattern was investigated using experimental impacts and predicted using Young’s Modulus. Results were not as expected, and it is likely that there exists error in some measurements. Further investigation of this topic is recommended.
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Starkey, Carl Alan. "Analysis of the Failure Modes of Twisted Fiber Structures." Marietta College Honors Theses / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=marhonors1210352501.

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Petel, Oren E. "A study of the failure mechanism of detonations in homogeneous and heterogeneous explosives /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99530.

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The present study measured the critical diameter and critical thickness of a variety of explosives. The explosives tested included two "unstable" homogeneous explosives (nitromethane and a nitromethane/nitroethane blend); a model heterogeneous explosive consisting of a packed bed of glass beads (Φ ~ 80 μm) saturated with the homogeneous nitromethane/nitroethane blend; and a commercial heterogeneous explosive, Apex Elite(TM). The comparison of the critical diameter and thickness of an explosive is used to identify the dominant propagation and failure mechanisms of the various explosives. The ra
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Libros sobre el tema "Failure physics"

1

Modarres, Mohammad, Mehdi Amiri, and Christopher Jackson. Probabilistic Physics of Failure Approach to Reliability. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119388692.

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McPherson, J. W. Reliability physics and engineering: Time-to-failure modeling. Springer, 2010.

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McPherson, J. W. Reliability Physics and Engineering: Time-To-Failure Modeling. 2nd ed. Springer International Publishing, 2013.

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Rossmanith, H. P. Dynamic Failure of Materials: Theory, Experiments and Numerics. Springer Netherlands, 1991.

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Munz, Dietrich. Ceramics: Mechanical Properties, Failure Behaviour, Materials Selection. Springer Berlin Heidelberg, 1999.

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Brzesowsky, Rolf. Micromechanics of sand grain failure and sand compaction. Faculteit Aardwetenschappen, Universiteit Utrecht, 1996.

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J, Bean Alan, Darzi Kent, University of Alabama in Huntsville. Dept. of Mechanical Engineering., George C. Marshall Space Flight Center., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Hypervelocity impact physics. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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Sih, G. C. Plasticity and failure behavior of solids: Memorial volume dedicated to the late Professor Yuriy Nickolaevich Rabotnov. Springer Netherlands, 1990.

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Sih, G. C. Mechanics of Fracture Initiation and Propagation: Surface and volume energy density applied as failure criterion. Springer Netherlands, 1991.

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B, Thompson R., and United States. Dept. of Energy. Division of Materials Science., eds. Mechanics and physics of crack growth: Application to life prediction. Elsevier Applied Science, 1988.

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Capítulos de libros sobre el tema "Failure physics"

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Czichos, Horst. "Physics of Failure." In Handbook of Technical Diagnostics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-25850-3_3.

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Jata, Kumar V., and Triplicane A. Parthasarathy. "Physics of Failure." In System Health Management. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119994053.ch12.

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McPherson, J. W. "Failure Rate Modeling." In Reliability Physics and Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93683-3_8.

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McPherson, J. W. "Failure Rate Modeling." In Reliability Physics and Engineering. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00122-7_7.

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McPherson, J. W. "Failure Rate Modeling." In Reliability Physics and Engineering. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6348-2_7.

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McPherson, J. W. "Ramp-to-Failure Testing." In Reliability Physics and Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93683-3_11.

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McPherson, J. W. "Time-to-Failure Modeling." In Reliability Physics and Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93683-3_5.

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McPherson, J. W. "Time-to-Failure Statistics." In Reliability Physics and Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93683-3_7.

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McPherson, J. W. "Ramp-to-Failure Testing." In Reliability Physics and Engineering. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00122-7_10.

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McPherson, J. W. "Time-to-Failure Modeling." In Reliability Physics and Engineering. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00122-7_4.

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Actas de conferencias sobre el tema "Failure physics"

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Gan, Howard, Antai Xu, and Jeffrey Zhang. "Methodology of Predicting Package Early Failure." In 2025 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2025. https://doi.org/10.1109/irps48204.2025.10983328.

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Liu, Yuanqin, Kelly Prochaska, Dogancan Sari, and Daniel J. D. Sullivan. "Failure Analysis of Particle Contamination in Battery." In 2025 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2025. https://doi.org/10.1109/irps48204.2025.10983146.

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Ku, Chih-Feng, Yu-Lin Li, Yu-Chiao Lin, C. K. Kao, Ting-Ying Shih, and Huei-Wen Yang. "Novel Stress Migration Failure Analysis by EBSD-KAM." In 2025 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2025. https://doi.org/10.1109/irps48204.2025.10982797.

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Bonato, Marco, and Aziz Moudoub. "Physics of Failure Modeling for Improved Automotive Warranty Cost Predictions." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935185.

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Li, Susan. "Chip Scale Packaging and Its Failure Analysis Challenges (invited)." In 2025 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2025. https://doi.org/10.1109/irps48204.2025.10983086.

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Perez, Rigo. "Thermal Physics of Failure." In Reliability, Maintainability, Supportability & Logistics (Rmsl) Conference & Workshop. SAE International, 1996. http://dx.doi.org/10.4271/961266.

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Perez, Rigo. "Dynamic Physics of Failure." In Reliability, Maintainability, Supportability & Logistics (Rmsl) Conference & Workshop. SAE International, 1996. http://dx.doi.org/10.4271/961267.

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Bunis, C. B. "Physics of failure - the basic materials science behind failures." In GaAs Reliability Workshop. Proceedings. IEEE, 2001. http://dx.doi.org/10.1109/gaasrw.2001.995733.

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Koch, Tim, Wayne Richliug, John Whitlock, and Dave Hall. "A Bond Failure Mechanism." In 24th International Reliability Physics Symposium. IEEE, 1986. http://dx.doi.org/10.1109/irps.1986.362112.

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Drake, Gary S. "Engineering design analysis (Physics of Failure)." In 2010 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2010. http://dx.doi.org/10.1109/rams.2010.5448049.

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Informes sobre el tema "Failure physics"

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Shockey, Donald A., Jeffrey W. Simons, Takao Kobayashi, and Dennis Grishin. Microstructural Failure Physics for Structural Failure Prognosis and Diagnosis. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada427340.

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Kacprzynski, Gregory J., Michael J. Roemer, Girish Modgil, Andrea Palladino, and Kenneth Maynard. Enhancement of Physics-of-Failure Prognostic Models with System Level Features. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408967.

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Knodel, Mallory. A Comparison of the Availability and Failure Modes of the BaBar Superconducting Solenoid with Similar Magnets at Other High Energy Physics Laboratories. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/815644.

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Ravichandran, Guruswami. Proceedings of a Symposium on the Dynamic Deformation and Failure of Materials (Journal of the Mechanics and Physics of Solids. Volume 46, Number 10). Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada378420.

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Morsy, Amr, and Islam Ebo. Development of Physics-Based Deterioration Models for Reinforced Soil Retaining Structures. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2360.

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Reinforced soil walls are key earth retention features in the transportation infrastructure. They are used to support and retain soil in a wide variety of crucial structures, such as highways, bridges, and railways, to ensure stability. They also provide solutions for constructing embankments and slopes in constrained spaces, allowing for efficient land use and improved infrastructure planning. This study used advanced numerical modeling to improve the understanding of the behavior and long-term performance of the aging reinforced soil walls from the 1970s for asset management purposes. An ass
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Rundle, John B., and William Klein. Collaborative Research. Damage and Burst Dynamics in Failure of Complex Geomaterials. A Statistical Physics Approach to Understanding the Complex Emergent Dynamics in Near Mean-Field Geological Materials. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1221851.

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Francis, Andrew, Chas Jandu, and Mike Taylor. PR-408-124500-R01 Mechanical Damage Instantaneous Failure Model Numerical Simulation of Physical Tests. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010819.

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The overall objective was to develop two models for determining the effect of mechanical damage on the structural integrity of buried pipelines. The models that are to be developed are the instantaneous failure model (MD4-3) and the delayed failure model (MD4-4). The subject of this report is part of the work that has been undertaken in support of the development of the instantaneous failure model which is being undertaken within the remit of MD4-3. The overall objective of MD4-3 to produce a closed form expression that will be used as: (i) A Limit State Function in structural reliability and
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Phillips, Paul. The Adoption of Digital Twins in Integrated Vehicle Health Management. SAE International, 2023. http://dx.doi.org/10.4271/epr2023024.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;To many, a digital twin offers “functionality,” or the ability to virtually rerun events that have happened on the real system and the ability to simulate future performance. However, this requires models based on the physics of the system to be built into the digital twin, links to data from sensors on the real live system, and sophisticated algorithms incorporating artificial intelligence (AI) and machine learning (ML). All of this can be used for integrated vehicle health management (IVHM) decisions, such as determini
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Giannoulakis, Stylianos, and Arrigo Beretta. PR-471-18210-R01 Pump Failure and Performance Degradation Prediction. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011801.

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Sulzer Pumps Incorporation is performing fundamental research for developing an early pump failure prediction method, for better supporting its customers. Target is to protect critical equipment and reduce unplanned outages. This effort focuses on combining modern machine learning anomaly detection techniques with pump physical know-how. The developed approach was tested with real life failure datasets, provided by Pipeline Research Council International members. In addition, a performance degradation technique was inspired by anomaly detection learnings and tested at this project.
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Kenyon, Jonathan, Jisu Kim, and Youngdeok Kim. Measurement Properties of Physical Activity and Sedentary Behaviors in Heart Failure: A Systematic Review Protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.6.0117.

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