Готові списки джерел за темами / Reliability of mechanical systems

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Добірка наукової літератури з теми "Reliability of mechanical systems"

Автор: Grafiati
Опубліковано: 16 листопада 2024

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Статті в журналах з теми "Reliability of mechanical systems"

1

Manshin, Yu P., and E. Yu Manshina. "Reliability in mechanical systems projects." Journal of Physics: Conference Series 2131, no. 2 (December 1, 2021): 022029. http://dx.doi.org/10.1088/1742-6596/2131/2/022029.

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Abstract Sufficient safety of the parts, which determines the safety of the system specified by the technical assignment, is the necessary quality of the project, the subject of the design engineer’s attention and the customer’s requirement. An extensive task is the collection of data for iterative refinement of the resource for project details in a probabilistic aspect. It can be significantly reduced when using approximate methods for estimating the resource at intermediate stages of refining the project to the required resource with a calculated probability of failure-free operation. Thus, by the analysis of dimensionless relations of parameters of models of fatigue damage development, it is possible to obtain tools of numerical estimation of technological and constructive techniques of increase of a resource of details and their rational combination. The paper deals with the numerical measures of various directions of upgrading the fatigue life of the parts, derived from the dimensionless relations of the parameters of fatigue damage development models.
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2

Moss, T. R., and J. D. Andrews. "Reliability Assessment of Mechanical Systems." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 210, no. 3 (October 1996): 205–16. http://dx.doi.org/10.1243/pime_proc_1996_210_315_02.

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The assessment of mechanical systems is not an exact science and predictions can be subject to considerable uncertainty. In this paper the particular problems of mechanical system reliability assessment are discussed and a general methodology presented based on experience from availability studies carried out on offshore and onshore process plant.
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3

Chegodaev, D. E., and V. N. Samsonov. "Evaluating the reliability of mechanical systems." Strength of Materials 19, no. 12 (December 1987): 1720–23. http://dx.doi.org/10.1007/bf01523136.

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4

Ben-Haim, Yakov. "Non-Probabilistic Reliability of Mechanical Systems." IFAC Proceedings Volumes 27, no. 5 (June 1994): 281–86. http://dx.doi.org/10.1016/s1474-6670(17)48041-4.

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5

Bernstein, N. "Reliability analysis techniques for mechanical systems." Quality and Reliability Engineering International 1, no. 4 (October 1985): 235–48. http://dx.doi.org/10.1002/qre.4680010405.

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6

Kwak, Byung Man. "1704 Algorithms in reliability analysis and optimization for structural and mechanical systems." Proceedings of The Computational Mechanics Conference 2005.18 (2005): 125–26. http://dx.doi.org/10.1299/jsmecmd.2005.18.125.

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7

Ivanović, Miloš. "Reliability Distribution in Mechanical Systems for Given Reliability and Cost." Advanced Materials Research 633 (January 2013): 301–11. http://dx.doi.org/10.4028/www.scientific.net/amr.633.301.

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Avontuur, G. C., and K. van der Werff. "Systems reliability analysis of mechanical and hydraulic drive systems." Reliability Engineering & System Safety 77, no. 2 (August 2002): 121–30. http://dx.doi.org/10.1016/s0951-8320(02)00039-x.

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9

Lv, H., and Y. Zhang. "Gradual reliability analysis of mechanical component systems." Materials Research Innovations 18, sup1 (March 2014): S1–29—S1–32. http://dx.doi.org/10.1179/1432891713z.000000000349.

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10

Telyshev, D. V. "Mechanical Circulatory Support Systems Reliability Prediction and Assessment." Proceedings of Universities. ELECTRONICS 25, no. 1 (February 2020): 58–68. http://dx.doi.org/10.24151/1561-5405-2020-25-1-58-68.

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Дисертації з теми "Reliability of mechanical systems"

1

Stephenson, John Antony. "Design for reliability in mechanical systems." Thesis, University of Cambridge, 1996. https://www.repository.cam.ac.uk/handle/1810/251589.

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Zhao, Jian-Hua. "The reliability optimization of mechanical systems using metaheuristic approach." Mémoire, École de technologie supérieure, 2005. http://espace.etsmtl.ca/326/1/ZHAO_Jian%2DHua.pdf.

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Анотація:
Le problème d'optimisation de fiabilité des systèmes mécaniques est un problème compliqué avec contraintes multicritères, dont la solution optimale est en générale un compromis. Le travail présenté dans ce mémoire se concentre sur l'optimisation de fiabilité des systèmes mécaniques en séries parallèles. Basée sur le ACSRAP (Ant Colony System for Redundancy Apportionment Problem), une nouvelle approche est présentée. Cette approche combine les caractéristiques de l'ACS avec des recherches locales. Donc il optimise la fiabilité globale du système tout en satisfaisant les contraintes en terme de coût, de poids et de volume. Les avantages sur la précision, l'efficacité, et la capacité de la nouvelle approche sont illustrés par les résultats de comparaison de là nouvelle technique avec ceux obtenues par d'autres approches. En outre, l'application de la technique sur une boite de transmission (Gear Train System) est aussi présenté pour montrer les procédures de l'application de la nouvelle technique sur les cas réels.
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3

Campean, Ioan Felician. "Product reliability analysis and prediction : applications to mechanical systems." Thesis, Bucks New University, 1998. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714448.

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4

Pu, Jun. "Reliability and availability analysis of three-state device systems." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/10384.

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This study presents the reliability and availability analysis of three-state device systems with common-cause failures. The effect of common-cause failures on different systems is discussed. Different configurations are compared in order to obtain higher standby system reliability. Mathematical expressions are developed for the system reliability, the mean time to failure, the steady state availability and the time dependent availability of cold standby system, warm standby system, series system and parallel system. For system with constant common-cause failure rates, the Markov State Space approach is used to perform reliability analysis. The Method of Stages approach is used to investigate systems with non-constant common cause failure rates. Selected plots demonstrate the effect of the varying common cause failure rate on system reliability mean time to failure, steady state availability and time dependent availability. This study clearly shows that the occurrence of common-cause failure has a negative effect on standby system reliability parameters. However the system reliability, the mean time to failure, the steady state availability and the time dependent availability increase as the number of standby devices in the three-state device standby system increases.
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5

Anude, Okezie. "The analysis of redundant reliability systems with common-cause failures." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6847.

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The reliability and income analyses of newly developed $k-out-of-(n + m):G$ (or $n, m, k$) type redundant systems subject to a combination of common-cause failures and independent failures are presented. The global goal was to evaluate the impacts of the standby activation policy and the system repair times on such relevant system performance indices as the reliability, long-run availability, mean time to failure, variance of time to failure and net income. To facilitate this investigation several possible repair policies are developed. Results obtained using typical and practical values of basic system variables indicate that the governing standby activation policy as well as the system repair time distribution affect profoundly the values of the afore-mentioned system performance indices. In addition, newly developed mathematical relationships that would enable the net incomes of $k-out-of-(n + m):G$ type systems to be maximized by the adoption of certain system repair rates are presented.
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Burnham, Michael Richard. "Three competing risk problems in the study of mechanical systems reliability." Thesis, University of Strathclyde, 2010. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=16853.

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This thesis considers three problems within the eld of competing risks modelling in reliability. The rst problem concerns the question of identi ability within certain subclasses of Doyen and Gaudoin's recently proposed generalised competing risks framework. Bedford and Lindqvist have shown identi ability for one such subclass - a two component series system in which, every time a component fails it is restored to a state "as good as new", while the other component is restored to a state "as bad as old". In this thesis two different subclasses are shown to be identifiable. The first is a generalisation of the Bedford and Lindqvist example for series systems with n components. The second is an n component series system in which each time a component fails it is restored to a state "as good as new". At the same time the remaining components are restored to a state "as good as new" with probability p (which may depend on both the component being restored and the component that failed), or to a state "as bad as old" with probability (1 - p). The second problem concerns the use of competing risks models to study opportunistic maintenance. Bedford and Alkali proposed the following model - the system exhibits a sequence of warning signals, the inter-arrival times of which are assumed to be independently distributed (but non-identical) exponential random variables. The hazard rate of the time to system failure is modelled as a piecewise exponential distribution, in which the hazard rate is constant between signals. A sequence of maintenance opportunities occurs according to a homogeneous Poisson process and the rst opportunity after the kth signal is used to preventatively maintain the system. In this thesis closed form expressions for the above model are calculated (subject to some minor technical restrictions) for the marginal distributions of the time to both preventative and corrective maintenance. Also, the sub-distribution of the time to corrective maintenance is calculated. The third problem concerns the estimation of the marginal distribution for one of two independent competing risks, when knowledge of which risk caused the system shut-down is unknown for some of the observations in the dataset. In this thesis a new estimator based on the Kaplan-Meier product limit estimator is developed for the above set-up. A re-distribution to the right algorithm is also developed and this is shown to be equivalent to the new estimator. The new estimator is also shown to be consistent.
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Crk, Vladimir 1958. "Component and system reliability assessment from degradation data." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282820.

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Reliability estimation of highly reliable components, subsystems and systems has become very difficult using the traditional accelerated life tests. Therefore, there is a need to develop new models that will determine the reliability of such components, systems or subsystems, one of which is modeling a long term performance degradation. The proposed method is more general than any of the existing ones. It can be applied to any system, subsystem or component whose degradation over time can be identified and measured. It is assumed that the performance degradation is caused by a number, d, of independent degradation mechanisms and each of them is separately modeled by a unique nonlinear, monotonically increasing or decreasing curve as a function of time. The parameters of a degradation model are partitioned into a subset of parameters which are constant for all units and a subset of parameters that vary among units, or a subset of random parameters. To accelerate the degradation processes, random samples of identical units are exposed to stress levels which are higher than use stress levels. To capture the variability among units exposed to the same stress level, the parameters of the degradation model for each unit are estimated first and then the population parameters for a given stress level are estimated. The random parameters are assumed to be multivariate normally distributed, correlated and stress dependent. The multivariate multiple linear regression is applied to the stress dependent parameters and the parameter values at use stress levels are determined. Then, the times to failure are obtained from the degradation model for given degradation mechanisms by extrapolation to the critical level of degradation at which the system, subsystem, or component is considered to be in a failure state. Since the reliability function can not be obtained in a closed form the bootstrap simulation methodology is applied to estimate the system's reliability and the mean life for a single and multiple degradation mechanisms. Two algorithms are developed to obtain the point estimates and confidence intervals for the system's reliability and mean life.
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Azarkhail, Mohammadreza. "Agent autonomy approach to physics-based reliability modeling of structures and mechanical systems." College Park, Md.: University of Maryland, 2007. http://hdl.handle.net/1903/7680.

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Анотація:
Thesis (Ph. D.) -- University of Maryland, College Park, 2007.
Thesis research directed by: 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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Wei, Frank L. (Frank Lili) 1977. "Effects of mechanical properties on the reliability of Cu/low-k metallization systems." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42026.

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Анотація:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (leaves 211-217).
Cu and low-dielectric-constant (k) metallization schemes are critical for improved performance of integrated circuits. However, low elastic moduli, a characteristic of the low-k materials, lead to significant reliability degradation in Cu-interconnects. A thorough understanding of the effects of mechanical properties on electromigration induced failures is required for accurate reliability assessments. During electromigration inside Cu-interconnects, a change in atomic concentration correlates with a change in stress through the effective bulk modulus of the materials system, B, which decreases as the moduli of low-k materials used as inter-level dielectrics (ILDs) decrease. This property is at the core of discussions on electromigration-induced failures by all mechanisms. B is computed using finite element modeling analyses, using experimentally determined mechanical properties of the individual constituents. Characterization techniques include nanoindentation, cantilever deflection, and pressurized membrane deflection for elastic properties measurements, and chevron-notched double-cantilever pull structures for adhesion measurements. The dominant diffusion path in Cu-interconnects is the interface between Cu and the capping layer, which is currently a Si3N4-based film. We performed experiments on Cu-interconnect segments to investigate the kinetics of electromigration. A steady resistance increase over time prior to open-circuit failure, a result of void growth, correlates with the electromigration drift velocity. Diffusive measurements made in this fashion are more fundamental than lifetime measurements alone, and correlate with the combined effects of the electron wind and the back stress forces during electromigration induced void growth.
(cont.)Using this method, the electromigration activation energy was determined to be 0.80±0.06eV. We conducted experiments using Cu-interconnects with different lengths to study line length effects. Although a reliability improvement is observed as the segment length decreases, there is no deterministic current-density line-length product, jL, for which all segments are immortal. This is because small, slit-like voids forming directly below vias will cause open-failures in Cu-interconnects. Therefore, the probabilistic jLcrit values obtained from via-above type nterconnects approximate the thresholds for void nucleation. The fact that jLcrit,nuc monotonically decreases with B results from an energy balance between the strain energy released and surface energy cost for void nucleation and the critical stress required for void nucleation is proportional to B. We also performed electromigration experiments using Cu/low-k interconnect trees to investigate the effects of active atomic sinks and reservoirs on interconnect reliability. In all cases, failures were due to void growth. Kinetic parameters were extracted to be ... Quantitative analysis demonstrates that the reliability of the failing segments is modulated by the evolution of stress in the whole interconnect tree. During this process, not only the diffusive parameters but also B play critical roles. However, as B decreases, the positive effects of reservoirs on reliability are diminished, while the negative effects of sinks on reliability are amplified.
(cont.) Through comprehensive failure analyses, we also successfully identified the mechanism of electromigration-induced extrusions in Cu/low-k interconnects to be nearmode-I interfacial fracture between the Si3N4-based capping layer and the metallization/ILD layer below. The critical stress required for extrusion is found to depend not only on B but also on the layout and dimensions of the interconnects. As B decreases, sparsely packed, wide interconnects are most prone to extrusion-induced failures. Altogether, this research accounts for the effects of mechanical properties on all mechanisms of failure due to electromigration. The results provide an improved experimental basis for accurate circuit-level, layout-specific reliability assessments.
by Frank LiLi Wei.
Ph.D.
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Singh, Naveen Chandra Lall Pradeep. "Thermo-mechanical reliability models for life prediction of area array electronics in extreme environments." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/SINGH_NAVEEN_54.pdf.

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Книги з теми "Reliability of mechanical systems"

1

Woo, Seongwoo. Reliability Design of Mechanical Systems. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-7236-0.

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Woo, Seongwoo. Reliability Design of Mechanical Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50829-0.

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1926-, Davidson J. F., and Hunsley Cathy, eds. The Reliability of mechanical systems. 2nd ed. London: Mechanical Engineering Publications Limited for the Institution of Mechanical Engineers, 1994.

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4

F, Davidson J., ed. The Reliability of mechanical systems. London: Mechanical Engineering Publications Limited for the Institution of Mechanical Engineers, 1988.

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5

1926-, Davidson J. F., Hunsley Cathy, and Institution of Mechanical Engineers, eds. The reliability of mechanical systems. 2nd ed. London: Mechanical Engineering for the Institution of Mechanical Engineers, 1994.

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6

Titenok, Aleksandr, V. Sidoro, and A. V. Kirichek. Ensuring the operational reliability of mechanical systems. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1096388.

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The textbook discusses the nomenclature, performance characteristics and quality indicators of fuels, lubricants and special liquids that affect the technical and economic performance of machines. An analytical approach to the study of the development of a technical project is proposed. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students of engineering specialties of all forms of education, students of the system of advanced training and vocational training, undergraduates and postgraduates, specialists in the field of various transport and technological processes and means of their implementation.
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7

United States. National Aeronautics and Space Administration., ed. Mechanical system reliability for long life space systems: Final report. Nashville, Tenn: Dept. of Mechanical Engineering, Vanderbilt University, 1994.

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8

Daniels, B. K. Achieving Safety and Reliability with Computer Systems. Dordrecht: Springer Netherlands, 1987.

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9

E, Cabrera, Vela Antonio F, and International Course on Improving Efficiency and Reliability in Water Distribution Systems (1994 : Valencia, Spain), eds. Improving efficiency and reliability in water distribution systems. Dordrecht: Kluwer Academic Publishers, 1995.

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10

Mahadevan, Sankaran. Multidisciplinary system reliability analysis. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Частини книг з теми "Reliability of mechanical systems"

1

El Hami, Abdelkhalak, and Bouchaïb Radi. "Reliability in Mechanical Systems." In Uncertainty and Optimization in Structural Mechanics, 17–41. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118711903.ch2.

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Woo, Seongwoo. "Mechanical System Failures." In Reliability Design of Mechanical Systems, 139–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50829-0_6.

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Woo, Seongwoo. "Mechanical System Failures." In Reliability Design of Mechanical Systems, 249–306. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7236-0_7.

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4

Carter, A. D. S. "System or equipment reliability." In Mechanical Reliability, 331–45. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-18478-1_11.

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Grynchenko, Oleksandr, and Oleksiy Alfyorov. "Prediction of System Reliability." In Mechanical Reliability, 69–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41564-8_4.

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Woo, Seongwoo. "Fluid Motion and Mechanical Vibration." In Reliability Design of Mechanical Systems, 205–48. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7236-0_6.

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Zhang, Yu, Zhuo Wang, and Yanhui Wang. "Reliability Analysis of Complex Mechanical Systems." In Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 354–61. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9913-9_40.

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Ben-Haim, Yakov. "Robust Reliability of Static Systems." In Robust Reliability in the Mechanical Sciences, 31–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61154-4_3.

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Woo, Seongwoo. "Modern Definitions in Reliability Engineering." In Reliability Design of Mechanical Systems, 35–59. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50829-0_3.

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Woo, Seongwoo. "Modern Definitions in Reliability Engineering." In Reliability Design of Mechanical Systems, 53–99. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7236-0_3.

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Тези доповідей конференцій з теми "Reliability of mechanical systems"

1

Abdelkhalakl, El Hami, and ITMI Mhamed. "Reliability of Mechanical System of Systems." In 5th International Conference on Artificial Intelligence and Applications. Academy & Industry Research Collaboration Center (AIRCC), 2018. http://dx.doi.org/10.5121/csit.2018.80410.

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2

Tadigadapa, Srinivas, and Nader Najafi. "Reliability of micro-electro-mechanical systems (MEMS)." In Micromachining and Microfabrication, edited by Rajeshuni Ramesham. SPIE, 2001. http://dx.doi.org/10.1117/12.443002.

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Hassan, Maguid H. M. "Reliability Evaluation of Smart Structural Systems." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79125.

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Smart Structural Systems are defined as systems that are capable of modifying their characteristics, intentionally, to reduce the effects of external actions. Such capability is attained through the integration of several basic components. Sensors, processors and actuators are examples of such components. The reliability of such integrated systems pose a major concern hindering their practical application Recent research activities are directed toward the evaluation of such reliability-based measures to evaluate such systems. Performance measures are currently identified and employed in the comparison of potential smart systems. In this paper, a reliability assessment model for smart structural systems is proposed. The proposed reliability assessment technique comprises reliability assessment algorithms for every individual underlying system component. Failure modes are identified for each individual component. Such failure modes are further expressed in a limit state format. An overall reliability measure is then evaluated, knowing the individual reliability assessments of all underlying components. By developing suitable reliability measures for such systems, it is possible to select the most reliable and effective smart system, based on their overall reliability and performance measures.
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4

Farley, D., A. Dasgupta, M. Al-Bassyiouni, and J. W. C. de Vries. "System-Level Reliability Qualification of Complex Electronic Systems." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11762.

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Qualifying functional complex electronic systems and products for reliable performance under a given life cycle history is a difficult task, because of the complex competing aggregation of potential failure sites and failure modes. The current approach, driven by industry specifications and standards, is to conduct standardized tests that are intended to represent a compressed version of representative life cycles. The problem is that there is no clear articulation of what failure mechanisms are being targeted. Consequently, it is not clear what the acceleration factor is likely to be. Especially, as technologies and materials undergo changes, new failure mechanisms may emerge and acceleration factors for old obsolete test conditions may no longer be adequate for expected life cycle conditions. In this study, a systematic and system level approach is used to qualify the interconnects of a new electronic system by using a rapid-assessment method based on the physics of failure approach. The rapid-assessment approach is based on a combination of experimentation and simulation which is focused on identifying and ranking potential modes and mechanisms. The system analyzed in this case is an electronic control box used on a rotating non-stationary platform for a medical instrument. The box contains three PWBs stacked on top of each other and secured using stand-off fasteners and rotates in a gantry up to 220rpm. Dynamic mode shapes are found using finite element simulation, which informs ideal places for instrumentation during experiments to measure the life cycle stress conditions. Quasi-static bending, vibration, and thermal life-cycle conditions are collected with on-board strain gages, accelerometers and thermocouples. The results of these measurements are used as inputs for rapid-assessment simulations, to directly estimate durability and life. All PWAs are found to meet durability goals, although the smallest PWA on top of the stack is found to have the smallest durability margins, and further study is recommended. Tailored accelerated stress testing is recommended in future to verify the predicted durability margins for the entire product.
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5

Xu, Shuzhen, and Enrique A. Susemihl. "Reliability Analysis of Water Mist Systems." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41046.

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This paper presents some preliminary results from a reliability study of water mist systems conducted at FM Global. The study includes a detailed Failure Modes and Effects Analysis (FMEA) to identify all the major potential failure modes, which include demand, quiescent and operational failures. Various fault trees are thus constructed for the typical water mist system configurations to evaluate the failure probabilities. However, due to the short history of industrial application of water mist systems, no specific reliability data are available. Therefore, in the calculation of system failure probability, the component failure data are obtained from other applications. The failure probabilities and the confidence bounds of the typical water mist systems listed in the Standard 750 of the National Fire Protection Association are compared in the paper. The major failure modes identified through an importance analysis are also presented.
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XU, Wenkai, Jiankang SUN, Bo FAN, and Kunming HONG. "Dynamic Reliability Evaluation of Complex Mechanical System." In The 2015 International Conference on Mechanical Engineering and Control Systems (MECS2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814740616_0011.

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7

Rekvava, Paata. "Seismic Reliability Analysis of Structural Systems." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10686.

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A method is presented for the evaluation of the seismic reliability function of realistic structural systems. The method is based on a preliminary simulation involving three-dimensional nonlinear time history analysis of the soil-interface-building system. The design procedure is performed to establish the probabilistic characterization of the demands on the structure, followed by the solution of system reliability problem with correlated demands and capacities. The Structural behavior is evaluated by means of the methodology of Performance-Based Seismic Design (PBSD). This study has taken into account the stochastic nature of the spatial ground motion in Tbilisi region. The method is demonstrated with an application to a 3D RC Buildings subjected to seismic excitation for the specified hazard at the site. The developed method and obtained results can be used in seismic risk study for new buildings of examined type under design, as well as for existing RC buildings of old generation for future seismic activity.
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Lall, Pradeep, Robert Hinshaw, Ranjit Pandher, Mahendra Harsha, and Jeff Suhling. "Thermo-mechanical reliability of SAC leadfree alloys." In 2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). IEEE, 2010. http://dx.doi.org/10.1109/itherm.2010.5501303.

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Yin, Chang, Wei Dai, and Yuanxing Huang. "Reliability Improvement of mechanical components based on TRIZ." In 2015 First International Conference on Reliability Systems Engineering (ICRSE). IEEE, 2015. http://dx.doi.org/10.1109/icrse.2015.7366463.

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Augusti, G., M. Ciampoli, and F. Petrini. "Reliability of Structural Systems Under Wind Action." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12357.

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The most rational way of assessing and reducing the risks of building constructions and infrastructures subject to natural and man-made hazards is Performance-Based Design, usually indicated by the acronym PBD; this applies to both design of new facilities and rehabilitation or retrofitting of the existing ones. The basic concept of PBD has been applied for almost 30 years in the nuclear power plant industry; later, PBD has been formalized and developed primarily in seismic engineering but has been extended to other engineering field, like Blast Engineering and Fire Engineering. Also wind engineering has appeared of great potential interest for further developments of PBD. The first steps in this direction go back to an Italian research project, in which the expression “Performance-Based Wind Engineering” (PBWE) was coined. In this paper, an approach to PBWE is illustrated and applied to an example case: the assessment of the collapse and out-of-service risks of a long span suspension bridge.
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Звіти організацій з теми "Reliability of mechanical systems"

1

Poerner. PR-015-11211-R02 Mechanical Seal Auxiliary Systems Best Practices Summary. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2014. http://dx.doi.org/10.55274/r0010817.

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The primary research objective of this project was to summarize the best practices for design, operation, and maintenance of pump mechanical seal auxiliary systems in a reference document for pipeline pump operators. This was achieved by meeting several secondary objectives outlined below. Define the types of mechanical seals and seal auxiliary systems which are used in pipeline stations Determine the reliability of the auxiliary system components as reported by end-users Outline typical and recommended design, operation, and maintenance practices for seal auxiliary systems Based on reliability, design, operation, and maintenance practices identify the best practices for pipeline pump seal auxiliary systems Once these secondary objectives had been achieved, this report was written to summarize the findings.
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2

Poerner. PR-015-11211-R01 Mechanical Seal Auxiliary Systems Guideline. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2013. http://dx.doi.org/10.55274/r0010789.

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The reliance on centrifugal pumps the world over implies a heavy reliance on mechanical seals. In order to get the highest level of performance from the seals, auxiliary systems are used either to condition the seal operating environment or monitor the systems and detect failures. Current standards already exist that recommend seal auxiliary systems based on certain pump operating conditions, and are widely accepted in the industry both among seal end-users and vendors. And because of their knowledge on the actual seals, the vendors are the primary source for end-users to receive designs and equipment for the auxiliary systems. All of these systems will rely on a number of components that will be selected based on the seals, the operating conditions, and the requirements of the end-user�s facility. Therefore, accurate details for the range of operating conditions of the pump and the product must be supplied to the vendors; that way the vendors can properly specify the seal and the required auxiliary systems. For example, if the product is expected to have considerable contaminants, a filter/separator may be recommended to prevent the contaminants from depositing on the seal faces. If the product will be considerably high in temperature, the recommendation may be to include a cooler to reduce heat build-up in the seals. However, regardless of how well the seal environment is conditioned, it is still expected that the seals will fail. When this failure does occur, additional components may also be selected that will attempt to reduce the amount of product released. These leak detection components are also considered auxiliary system for the seal. Monitoring components can also be used to detect and possibly predict when this failure might occur, thereby, possibly avoiding the unplanned failure altogether. In the future use of seal auxiliary systems, it is this monitoring and trending of operating data that is becoming more critical. Much of the required technology to perform this trending is already in existence; but it is only slowly being adopted, with some possible advances in technology adding to the accuracy and reliability of the trended predictions and detections.
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3

N. Ramirez. Reliability Analysis of the Mechanical System in Selected Portions of the Nuclear HVAC System. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/850443.

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Groeneveld, Andrew B., Stephanie G. Wood, and Edgardo Ruiz. Estimating Bridge Reliability by Using Bayesian Networks. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39601.

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As part of an inspection, bridge inspectors assign condition ratings to the main components of a bridge’s structural system and identify any defects that they observe. Condition ratings are necessarily somewhat subjective, as they are influenced by the experience of the inspectors. In the current work, procedures were developed for making inferences on the reliability of reinforced concrete girders with defects at both the cross section and the girder level. The Bayesian network (BN) tools constructed in this work use simple structural m echanics to model the capacity of girders. By using expert elicitation, defects observed during inspection are correlated with underlying deterioration mechanisms. By linking these deterioration mechanisms with reductions in mechanical properties, inferences on the reliability of a bridge can be made based on visual observation of defects. With more development, this BN tool can be used to compare conditions of bridges relative to one another and aid in the prioritization of repairs. However, an extensive survey of bridges affected by deterioration mechanisms is needed to confidently establish valid relationships between deterioration severity and mechanical properties.
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5

Cox, James V., Sam A. Candelaria, Michael Thomas Dugger, Michelle Ann Duesterhaus, Danelle Mary Tanner, Shannon J. Timpe, James Anthony Ohlhausen, et al. Acceleration of dormant storage effects to address the reliability of silicon surface micromachined Micro-Electro-Mechanical Systems (MEMS). Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/923082.

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6

Lozev. L52022 Validation of Current Approaches for Girth Weld Defect Sizing Accuracy. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2002. http://dx.doi.org/10.55274/r0011325.

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Computational tools based on probabilistic fracture mechanics have been developed to enable reliability-based fitness-for-service assessments of flawed girth welds. The same tools are readily adapted for establishing maximum allowable defect sizes to achieve targeted weld reliability. Sensitivity studies have shown that of the various input parameter uncertainties, measured defect height often has the greatest impact on the probabilities of both fracture and plastic collapse. A reduction in sizing uncertainty should thus dramatically improve predicted reliabilities. The increasing use of mechanized ultrasonic testing (UT) in pipeline construction, driven by the demands of engineering critical assessment (ECA) -based acceptance criteria, highlights the need to quantify this uncertainty, particularly for systems incorporating pulse-echo (P/E) and time-of-flight diffraction (TOFD) methods and phased-array (PA) technology. EWI collected third-party independent data and statistically characterized the systematic and random errors in girth weld defect sizing, as measured by mechanized UT using P/E and TOFD methods, as well as PA ultrasonic technology, in support of pipeline reliability assessments.
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7

Tehrani, Fariborz M., Kenneth L. Fishman, and Farmehr M. Dehkordi. Extending the Service-Life of Bridges using Sustainable and Resilient Abutment Systems: An Experimental Approach to Electrochemical Characterization of Lightweight Mechanically Stabilized Earth. Mineta Transportation Institute, July 2023. http://dx.doi.org/10.31979/mti.2023.2225.

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Bridges are critical components of transportation infrastructure. This research addresses the need to extend the service life of bridges by improving the safety and reliability of bridge abutments and reducing their life-cycle cost and footprints. Mechanically stabilized earth (MSE) is a known strategy to enhance the economy and performance of bridge abutments. In addition, the application of rotary-kiln-manufactured lightweight aggregate backfills improves the performance of MSE bridge abutments with a leaner structural system. Such improvements include a reduction of structural demands due to a lower density, free drainage of granular materials, a high internal friction angle, less settlement with no consolidation, and accelerated construction requiring less compaction effort. This project aims to assess the electrochemical properties of expanded shale, clay, and slate (ESCS) aggregates and their influence on the corrosion of embedded steel strips. The experimental methodology involves evaluating current testing methods to measure electrical resistivity, pH, sulfate, chloride, and corrosion considering various gradation, moisture, dilution, and curing conditions. Samples represent available sources of ESCS with one source of normal weight aggregates for comparison. Results indicate the appropriateness of ESCS for addressing corrosion in MSE backfills. Further, outcomes provide guidelines to categorically predict the corrosivity of steel reinforcement when ESCS is employed as fill within MSE systems. These guidelines can help optimize the design and reduce the need to maintain and rehabilitate bridges, abutments, and approach and departure slabs on roadways to keep transportation systems safe and cost-efficient for sustainable infrastructure.
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Sadlon, Richard J. Mechanical Applications in Reliability Engineering. Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada363860.

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McHenry, K. D., and B. G. Koepke. Mechanical Reliability of Piezoelectric and Dielectric Ceramics. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada198458.

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10

Jadaan, Osama M., and Andrew A. Wereszczak. Probabilistic Mechanical Reliability Prediction of Thermoelectric Legs. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/953658.

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