Relevant bibliographies by topics / Time-dependent reliability

Academic literature on the topic 'Time-dependent reliability'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Time-dependent reliability.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Time-dependent reliability"

1

Yan, Yutao, Jian Wang, Yibo Zhang, and Zhili Sun. "Kriging Model for Time-Dependent Reliability: Accuracy Measure and Efficient Time-Dependent Reliability Analysis Method." IEEE Access 8 (2020): 172362–78. http://dx.doi.org/10.1109/access.2020.3014238.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gong, Changqing, and Dan M. Frangopol. "An efficient time-dependent reliability method." Structural Safety 81 (November 2019): 101864. http://dx.doi.org/10.1016/j.strusafe.2019.05.001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Singh, N. "Recursive estimation of time-dependent reliability." Microelectronics Reliability 34, no. 8 (August 1994): 1355–59. http://dx.doi.org/10.1016/0026-2714(94)90149-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Abouei Ardakan, Mostafa, Zahra Mirzaei, Ali Zeinal Hamadani, and Elsayed A. Elsayed. "Reliability Optimization by Considering Time-Dependent Reliability for Components." Quality and Reliability Engineering International 33, no. 8 (February 2, 2017): 1641–54. http://dx.doi.org/10.1002/qre.2132.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Park, Jae-Hyun. "Time-dependent reliability of wireless networks with dependent failures." Reliability Engineering & System Safety 165 (September 2017): 47–61. http://dx.doi.org/10.1016/j.ress.2017.03.017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Buijs, F. A., J. W. Hall, P. B. Sayers, and P. H. A. J. M. Van Gelder. "Time-dependent reliability analysis of flood defences." Reliability Engineering & System Safety 94, no. 12 (December 2009): 1942–53. http://dx.doi.org/10.1016/j.ress.2009.06.012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hu, Zhen, and Xiaoping Du. "Lifetime cost optimization with time-dependent reliability." Engineering Optimization 46, no. 10 (October 10, 2013): 1389–410. http://dx.doi.org/10.1080/0305215x.2013.841905.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Stewart, Mark G. "Time-Dependent Reliability of Existing RC Structures." Journal of Structural Engineering 123, no. 7 (July 1997): 896–902. http://dx.doi.org/10.1061/(asce)0733-9445(1997)123:7(896).

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Liu, Ming, and Dan M. Frangopol. "Time-Dependent Bridge Network Reliability: Novel Approach." Journal of Structural Engineering 131, no. 2 (February 2005): 329–37. http://dx.doi.org/10.1061/(asce)0733-9445(2005)131:2(329).

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zafar, Tayyab, and Zhonglai Wang. "Time-dependent reliability prediction using transfer learning." Structural and Multidisciplinary Optimization 62, no. 1 (January 27, 2020): 147–58. http://dx.doi.org/10.1007/s00158-019-02475-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Time-dependent reliability"

1

Buijs, Foekje Akke. "Time-dependent reliability analysis of flood defences." Thesis, University of Newcastle Upon Tyne, 2008. http://hdl.handle.net/10443/888.

Full text
Abstract:
The aim of this thesis is to investigate how the time-dependent behaviour of flood defence properties can be appropriately characterised and incorporated in a reliabilitybased approach. Such an approach is required in a maintenance optimisation framework for flood defence management. The first objective shows that existing structural reliability methods are suitable for the analysis and incorporation of asset time-dependent processes in flood defence (system) reliability. Recent progress on quantitative maintenance optimisation frameworks for flood defence management is drawn together and complemented by theory from other engineering disciplines. The second objective develops three importance measure types to indicate the relevance of the time-dependent processes in the context of a rational maintenance optimisation approach. These importance measures support practical operational management as well as maintenance optimisation model design. The third objective develops a modelling methodology to describe asset time-dependent processes of flood defences by a statistical model. The first phase in the modelling methodology is problem formulation. The second conceptualisation phase is a five-step analysis of the asset time-dependent process. Firstly, existing field observations and scientific understanding are assembled. Secondly, the excitation, ancillary and affected features and uncertainty types of the asset time-dependent process are analysed. The third step describes the character of the process conditional on the excitation. The fourth step analyses the dependencies between different asset time-dependent processes. The fifth step formulates alternative statistical models for the asset time-dependent process. The last phase in the modelling methodology is parameter estimation, calibration and model corroboration. Historical observations on asset time-dependent processes are scarce and can either be used for further extension of this phase or Bayesian posterior updating. The fourth objective demonstrates the methods developed in this thesis in a (system) reliability model of the Dartford Creek to Swanscombe Marshes flood defence system along the Thames Estuary.
APA, Harvard, Vancouver, ISO, and other styles
2

Kerpicci, Kara Sibel. "Reliability-based Analysis Of Time-dependent Scouring At Bridge Abutments." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610334/index.pdf.

Full text
Abstract:
Deterministic scour prediction equations for bridge abutments do not involve uncertainties coming from scouring parameters and they only consider effects of hydraulic parameters. However, in order to safely design bridge abutments, treatment of these uncertainties and evaluation of possible risks are required. Two artificial neural network (ANN) models are constructed to describe scouring phenomenon using the parameters of two different equations. The equation to be used in the reliability analysis is then determined according to ANN modeling results. To conduct reliability analysis, Monte Carlo simulation technique is used in which different distributions and coefficients of variations are used for random variables to examine their effects on reliability. It is observed that probability distributions of governing variables have no impact on reliability. However, coefficients of variations of these variables influence reliability.
APA, Harvard, Vancouver, ISO, and other styles
3

Hussin, Razaidi. "A statistical study of time dependent reliability degradation of nanoscale MOSFET devices." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8052/.

Full text
Abstract:
Charge trapping at the channel interface is a fundamental issue that adversely affects the reliability of metal-oxide semiconductor field effect transistor (MOSFET) devices. This effect represents a new source of statistical variability as these devices enter the nano-scale era. Recently, charge trapping has been identified as the dominant phenomenon leading to both random telegraph noise (RTN) and bias temperature instabilities (BTI). Thus, understanding the interplay between reliability and statistical variability in scaled transistors is essential to the implementation of a ‘reliability-aware’ complementary metal oxide semiconductor (CMOS) circuit design. In order to investigate statistical reliability issues, a methodology based on a simulation flow has been developed in this thesis that allows a comprehensive and multi-scale study of charge-trapping phenomena and their impact on transistor and circuit performance. The proposed methodology is accomplished by using the Gold Standard Simulations (GSS) technology computer-aided design (TCAD)-based design tool chain co-optimization (DTCO) tool chain. The 70 nm bulk IMEC MOSFET and the 22 nm Intel fin-shape field effect transistor (FinFET) have been selected as targeted devices. The simulation flow starts by calibrating the device TCAD simulation decks against experimental measurements. This initial phase allows the identification of the physical structure and the doping distributions in the vertical and lateral directions based on the modulation in the inversion layer’s depth as well as the modulation of short channel effects. The calibration is further refined by taking into account statistical variability to match the statistical distributions of the transistors’ figures of merit obtained by measurements. The TCAD simulation investigation of RTN and BTI phenomena is then carried out in the presence of several sources of statistical variability. The study extends further to circuit simulation level by extracting compact models from the statistical TCAD simulation results. These compact models are collected in libraries, which are then utilised to investigate the impact of the BTI phenomenon, and its interaction with statistical variability, in a six transistor-static random access memory (6T-SRAM) cell. At the circuit level figures of merit, such as the static noise margin (SNM), and their statistical distributions are evaluated. The focus of this thesis is to highlight the importance of accounting for the interaction between statistical variability and statistical reliability in the simulation of advanced CMOS devices and circuits, in order to maintain predictivity and obtain a quantitative agreement with a measured data. The main findings of this thesis can be summarised by the following points: Based on the analysis of the results, the dispersions of VT and ΔVT indicate that a change in device technology must be considered, from the planar MOSFET platform to a new device architecture such as FinFET or SOI. This result is due to the interplay between a single trap charge and statistical variability, which has a significant impact on device operation and intrinsic parameters as transistor dimensions shrink further. The ageing process of transistors can be captured by using the trapped charge density at the interface and observing the VT shift. Moreover, using statistical analysis one can highlight the extreme transistors and their probable effect on the circuit or system operation. The influence of the passgate (PG) transistor in a 6T-SRAM cell gives a different trend of the mean static noise margin.
APA, Harvard, Vancouver, ISO, and other styles
4

Hilsmeier, Todd Andrew. "Characterization of time-dependent component reliability and availability effects due to aging /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487950153601096.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Morita, Lia Hanna Martins. "Degradation modeling for reliability analysis with time-dependent structure based on the inverse gaussian distribution." Universidade Federal de São Carlos, 2017. https://repositorio.ufscar.br/handle/ufscar/9120.

Full text
Abstract:
Submitted by Aelson Maciera (aelsoncm@terra.com.br) on 2017-08-29T19:13:47Z No. of bitstreams: 1 TeseLHMM.pdf: 2605456 bytes, checksum: b07c268a8fc9a1af8f14ac26deeec97e (MD5)
Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-09-25T18:22:48Z (GMT) No. of bitstreams: 1 TeseLHMM.pdf: 2605456 bytes, checksum: b07c268a8fc9a1af8f14ac26deeec97e (MD5)
Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-09-25T18:22:55Z (GMT) No. of bitstreams: 1 TeseLHMM.pdf: 2605456 bytes, checksum: b07c268a8fc9a1af8f14ac26deeec97e (MD5)
Made available in DSpace on 2017-09-25T18:27:54Z (GMT). No. of bitstreams: 1 TeseLHMM.pdf: 2605456 bytes, checksum: b07c268a8fc9a1af8f14ac26deeec97e (MD5) Previous issue date: 2017-04-07
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Conventional reliability analysis techniques are focused on the occurrence of failures over time. However, in certain situations where the occurrence of failures is tiny or almost null, the estimation of the quantities that describe the failure process is compromised. In this context the degradation models were developed, which have as experimental data not the failure, but some quality characteristic attached to it. Degradation analysis can provide information about the components lifetime distribution without actually observing failures. In this thesis we proposed different methodologies for degradation data based on the inverse Gaussian distribution. Initially, we introduced the inverse Gaussian deterioration rate model for degradation data and a study of its asymptotic properties with simulated data. We then proposed an inverse Gaussian process model with frailty as a feasible tool to explore the influence of unobserved covariates, and a comparative study with the traditional inverse Gaussian process based on simulated data was made. We also presented a mixture inverse Gaussian process model in burn-in tests, whose main interest is to determine the burn-in time and the optimal cutoff point that screen out the weak units from the normal ones in a production row, and a misspecification study was carried out with the Wiener and gamma processes. Finally, we considered a more flexible model with a set of cutoff points, wherein the misclassification probabilities are obtained by the exact method with the bivariate inverse Gaussian distribution or an approximate method based on copula theory. The application of the methodology was based on three real datasets in the literature: the degradation of LASER components, locomotive wheels and cracks in metals.
As técnicas convencionais de análise de confiabilidade são voltadas para a ocorrência de falhas ao longo do tempo. Contudo, em determinadas situações nas quais a ocorrência de falhas é pequena ou quase nula, a estimação das quantidades que descrevem os tempos de falha fica comprometida. Neste contexto foram desenvolvidos os modelos de degradação, que possuem como dado experimental não a falha, mas sim alguma característica mensurável a ela atrelada. A análise de degradação pode fornecer informações sobre a distribuição de vida dos componentes sem realmente observar falhas. Assim, nesta tese nós propusemos diferentes metodologias para dados de degradação baseados na distribuição gaussiana inversa. Inicialmente, nós introduzimos o modelo de taxa de deterioração gaussiana inversa para dados de degradação e um estudo de suas propriedades assintóticas com dados simulados. Em seguida, nós apresentamos um modelo de processo gaussiano inverso com fragilidade considerando que a fragilidade é uma boa ferramenta para explorar a influência de covariáveis não observadas, e um estudo comparativo com o processo gaussiano inverso usual baseado em dados simulados foi realizado. Também mostramos um modelo de mistura de processos gaussianos inversos em testes de burn-in, onde o principal interesse é determinar o tempo de burn-in e o ponto de corte ótimo para separar os itens bons dos itens ruins em uma linha de produção, e foi realizado um estudo de má especificação com os processos de Wiener e gamma. Por fim, nós consideramos um modelo mais flexível com um conjunto de pontos de corte, em que as probabilidades de má classificação são estimadas através do método exato com distribuição gaussiana inversa bivariada ou em um método aproximado baseado na teoria de cópulas. A aplicação da metodologia foi realizada com três conjuntos de dados reais de degradação de componentes de LASER, rodas de locomotivas e trincas em metais.
APA, Harvard, Vancouver, ISO, and other styles
6

Baingo, Darek. "A Framework for Stochastic Finite Element Analysis of Reinforced Concrete Beams Affected by Reinforcement Corrosion." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23063.

Full text
Abstract:
Corrosion of reinforcing bars is the major cause of deterioration of reinforced concrete (RC) structures in North America, Europe, the Middle East, and many coastal regions around the world. This deterioration leads to a loss of serviceability and functionality and ultimately affects the structural safety. The objective of this research is to formulate and implement a general stochastic finite element analysis (SFEA) framework for the time-dependent reliability analysis of RC beams with corroding flexural reinforcement. The framework is based on the integration of nonlinear finite element and reliability analyses through an iterative response surface methodology (RSM). Corrosion-induced damage is modelled through the combined effects of gradual loss of the cross-sectional area of the steel reinforcement and the reduction bond between steel and concrete for increasing levels of corrosion. Uncertainties in corrosion rate, material properties, and imposed actions are modelled as random variables. Effective implementation of the framework is achieved by the coupling of commercial finite element and reliability software. Application of the software is demonstrated through a case study of a simply-supported RC girder with tension reinforcement subjected to the effects of uniform (general) corrosion, in which two limit states are considered: (i) a deflection serviceability limit state and (ii) flexural strength ultimate limit state. The results of the case study show that general corrosion leads to a very significant decrease in the reliability of the RC beam both in terms of flexural strength and maximum deflections. The loss of strength and serviceability was shown to be predominantly caused by the loss of bond strength, whereas the gradual reduction of the cross-sectional area of tension reinforcement was found to be insignificant. The load-deflection response is also significantly affected by the deterioration of bond strength (flexural strength and stiffness). The probability of failure at the end of service life, due to the effects of uniform corrosion-induced degradation, is observed to be approximately an order of magnitude higher than in the absence of corrosion. Furthermore, the results suggest that flexural resistance of corroded RC beams is controlled by the anchorage (bond) of the bars and not by the yielding of fully bonded tensile reinforcement at failure. This is significant since the end regions can be severely corroded due to chloride, moisture, and oxygen access at connections and expansion joints. The research strongly suggests that bond damage must be considered in the assessment of the time-dependent reliability of RC beams subjected to general corrosion.
APA, Harvard, Vancouver, ISO, and other styles
7

Emam, Emam. "UTILIZING A REAL LIFE DATA WAREHOUSE TO DEVELOP FREEWAY TRAVEL TIME ELIABILITY STOCHASTIC MODELS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3987.

Full text
Abstract:
During the 20th century, transportation programs were focused on the development of the basic infrastructure for the transportation networks. In the 21st century, the focus has shifted to management and operations of these networks. Transportation network reliability measure plays an important role in judging the performance of the transportation system and in evaluating the impact of new Intelligent Transportation Systems (ITS) deployment. The measurement of transportation network travel time reliability is imperative for providing travelers with accurate route guidance information. It can be applied to generate the shortest path (or alternative paths) connecting the origins and destinations especially under conditions of varying demands and limited capacities. The measurement of transportation network reliability is a complex issue because it involves both the infrastructure and the behavioral responses of the users. Also, this subject is challenging because there is no single agreed-upon reliability measure. This dissertation developed a new method for estimating the effect of travel demand variation and link capacity degradation on the reliability of a roadway network. The method is applied to a hypothetical roadway network and the results show that both travel time reliability and capacity reliability are consistent measures for reliability of the road network, but each may have a different use. The capacity reliability measure is of special interest to transportation network planners and engineers because it addresses the issue of whether the available network capacity relative to the present or forecast demand is sufficient, whereas travel time reliability is especially interesting for network users. The new travel time reliability method is sensitive to the users' perspective since it reflects that an increase in segment travel time should always result in less travel time reliability. And, it is an indicator of the operational consistency of a facility over an extended period of time. This initial theoretical effort and basic research was followed by applying the new method to the I-4 corridor in Orlando, Florida. This dissertation utilized a real life transportation data warehouse to estimate travel time reliability of the I-4 corridor. Four different travel time stochastic models: Weibull, Exponential, Lognormal, and Normal were tested. Lognormal was the best-fit model. Unlike the mechanical equipments, it is unrealistic that any freeway segment can be traversed in zero seconds no matter how fast the vehicles are. So, an adjustment of the developed best-fit statistical model (Lognormal) location parameter was needed to accurately estimate the travel time reliability. The adjusted model can be used to compute and predict travel time reliability of freeway corridors and report this information in real time to the public through traffic management centers. Compared to existing Florida Method and California Buffer Time Method, the new reliability method showed higher sensitivity to geographical locations, which reflects the level of congestion and bottlenecks. The major advantages/benefits of this new method to practitioners and researchers over the existing methods are its ability to estimate travel time reliability as a function of departure time, and that it treats travel time as a continuous variable that captures the variability experienced by individual travelers over an extended period of time. As such, the new method developed in this dissertation could be utilized in transportation planning and freeway operations for estimating the important travel time reliability measure of performance. Then, the segment length impacts on travel time reliability calculations were investigated utilizing the wealth of data available in the I-4 data warehouse. The developed travel time reliability models showed significant evidence of the relationship between the segment length and the results accuracy. The longer the segment, the less accurate were the travel time reliability estimates. Accordingly, long segments (e.g., 25 miles) are more appropriate for planning purposes as a macroscopic performance measure of the freeway corridor. Short segments (e.g., 5 miles) are more appropriate for the evaluation of freeway operations as a microscopic performance measure. Further, this dissertation has explored the impact of relaxing an important assumption in reliability analysis: Link independency. In real life, assuming that link failures on a road network are statistically independent is dubious. The failure of a link in one particular area does not necessarily result in the complete failure of the neighboring link, but may lead to deterioration of its performance. The "Cause-Based Multimode Model" (CBMM) has been used to address link dependency in communication networks. However, the transferability of this model to transportation networks has not been tested and this approach has not been considered before in the calculation of transportation networks' reliability. This dissertation presented the CBMM and applied it to predict transportation networks' travel time reliability that an origin demand can reach a specified destination under multimodal dependency link failure conditions. The new model studied the multi-state system reliability analysis of transportation networks for which one cannot formulate an "all or nothing" type of failure criterion and in which dependent link failures are considered. The results demonstrated that the newly developed method has true potential and can be easily extended to large-scale networks as long as the data is available. More specifically, the analysis of a hypothetical network showed that the dependency assumption is very important to obtain more reasonable travel time reliability estimates of links, paths, and the entire network. The results showed large discrepancy between the dependency and independency analysis scenarios. Realistic scenarios that considered the dependency assumption were on the safe side, this is important for transportation network decision makers. Also, this could aid travelers in making better choices. In contrast, deceptive information caused by the independency assumption could add to the travelers' anxiety associated with the unknown length of delay. This normally reflects negatively on highway agencies and management of taxpayers' resources.
Ph.D.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Civil Engineering
APA, Harvard, Vancouver, ISO, and other styles
8

Cheng, Danling. "Integrated System Model Reliability Evaluation and Prediction for Electrical Power Systems: Graph Trace Analysis Based Solutions." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28944.

Full text
Abstract:
A new approach to the evaluation of the reliability of electrical systems is presented. In this approach a Graph Trace Analysis based approach is applied to integrated system models and reliability analysis. The analysis zones are extended from the traditional power system functional zones. The systems are modeled using containers with iterators, where the iterators manage graph edges and are used to process through the topology of the graph. The analysis provides a means of computationally handling dependent outages and cascading failures. The effects of adverse weather, time-varying loads, equipment age, installation environment, operation conditions are considered. Sequential Monte Carlo simulation is used to evaluate the reliability changes for different system configurations, including distributed generation and transmission lines. Historical weather records and loading are used to update the component failure rates on-the-fly. Simulation results are compared against historical reliability field measurements. Given a large and complex plant to operate, a real-time understanding of the networks and their situational reliability is important to operational decision support. This dissertation also introduces using an Integrated System Model in helping operators to minimize real-time problems. A real-time simulation architecture is described, which predicts where problems may occur, how serious they may be, and what is the possible root cause.
Ph. D.
APA, Harvard, Vancouver, ISO, and other styles
9

Miller, Ian Timothy. "Probabilistic finite element modeling of aerospace engine components incorporating time-dependent inelastic properties for ceramic matrix composite (CMC) materials." Akron, OH : University of Akron, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1144941702.

Full text
Abstract:
Thesis (M.S.)--University of Akron, Dept. of Mathematics, 2006.
"May, 2006." Title from electronic thesis title page (viewed 11/29/2007) Advisor, Vinod Arya; Co-Advisor, Ali Hajjafar; Faculty reader, Shantaram S. Pai; Department Chair, Kevin Kreider; Dean of the College, Ronald F. Levant; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.
APA, Harvard, Vancouver, ISO, and other styles
10

Zhu, Weiqi, and ycqq929@gmail com. "An Investigation into Reliability Based Methods to Include Risk of Failure in Life Cycle Cost Analysis of Reinforced Concrete Bridge Rehabilitation." RMIT University. Civil, Environmental and Chemical Engineering, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080822.140447.

Full text
Abstract:
Reliability based life cycle cost analysis is becoming an important consideration for decision-making in relation to bridge design, maintenance and rehabilitation. An optimal solution should ensure reliability during service life while minimizing the life cycle cost. Risk of failure is an important component in whole of life cycle cost for both new and existing structures. Research work presented here aimed to develop a methodology for evaluation of the risk of failure of reinforced concrete bridges to assist in decision making on rehabilitation. Methodology proposed here combines fault tree analysis and probabilistic time-dependent reliability analysis to achieve qualitative and quantitative assessment of the risk of failure. Various uncertainties are considered including the degradation of resistance due to initiation of a particular distress mechanism, increasing load effects, changes in resistance as a result of rehabilitation, environmental variables, material properties and model errors. It was shown that the proposed methodology has the ability to provide users two alternative approaches for qualitative or quantitative assessment of the risk of failure depending on availability of detailed data. This work will assist the managers of bridge infrastructures in making decisions in relation to optimization of rehabilitation options for aging bridges.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Time-dependent reliability"

1

Wang, Cao. Structural Reliability and Time-Dependent Reliability. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62505-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

1972-, Ranzi Gianluca, ed. Time-dependent behaviour of concrete structures. London: Spon, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

I͡U︡, Kuznet͡s︡ov N., and Pegg P. A, eds. Mathematical theory of reliability of time dependent systems with practical applications. Chichester: Wiley, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kovalenko, Igor N., Nickolaj Yu Kuznetzov, and Philip A. Pegg. Mathematical Theory of Reliability of Time Dependent Systems with Practical Applications. Wiley & Sons, Incorporated, John, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Time dependent reliability model incorporating continuum damage mechanics for high-temperature ceramics. [Washington, DC]: National Aeronautics and Space Administration, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Time-dependent reliability"

1

Wang, Cao. "Time-Dependent Reliability Assessment." In Springer Series in Reliability Engineering, 263–359. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62505-4_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Signoret, Jean-Pierre, and Alain Leroy. "Time-Dependent Probabilistic Calculations." In Springer Series in Reliability Engineering, 285–317. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64708-7_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Slud, Eric V., and Leonid Kopylev. "Dependent Competing Risks with Time-Dependent Covariates." In Lifetime Data: Models in Reliability and Survival Analysis, 323–30. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5654-8_42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Hu, Chao, Byeng D. Youn, and Pingfeng Wang. "Time-Dependent Reliability Analysis in Design." In Springer Series in Reliability Engineering, 157–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92574-5_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Melchers, Robert E. "Directional Simulation for Time-Dependent Reliability Problems." In Lecture Notes in Engineering, 261–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84362-4_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Xiao, Qiang, and Sankaran Mahadevan. "Time Dependent System Reliability Under Cumulative Damage." In Probabilistic Structural Mechanics: Advances in Structural Reliability Methods, 565–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85092-9_37.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mahmoodian, Mojtaba, and Amir Alani. "Time-Dependent Reliability Analysis of Corrosion Affected Structures." In Numerical Methods for Reliability and Safety Assessment, 459–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07167-1_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hu, Chao, Byeng D. Youn, and Pingfeng Wang. "Time-Dependent Reliability Analysis in Operation: Prognostics and Health Management." In Springer Series in Reliability Engineering, 233–301. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92574-5_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Du, Shaohua, Yingying Yuan, Yuxiong Pan, Xu Wang, and Xuhong Chen. "Time-Dependent Reliability Sensitivity Analysis for Performance Degradation Mechanism." In Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation, 35–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49370-0_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Grigoriu, Mircea. "Reliability of Fiber Bundles under Random Time-Dependent Loads." In Lecture Notes in Engineering, 175–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83279-6_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Time-dependent reliability"

1

Boyko, K. C., and D. L. Gerlach. "Time Dependent Dielectric Breakdown of 210A Oxides." In 27th International Reliability Physics Symposium. IEEE, 1989. http://dx.doi.org/10.1109/irps.1989.362231.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ho, T. Y., K. Joshi, K. H. Lee, P. J. Liao, J. R. Shih, and Y. H. Lee. "Time dependent junction degradation in FinFET." In 2016 IEEE International Integrated Reliability Workshop (IIRW). IEEE, 2016. http://dx.doi.org/10.1109/iirw.2016.7904893.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hu, Zhen, Sankaran Mahadevan, and Xiaoping Du. "Uncertainty Quantification in Time-Dependent Reliability Analysis." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47925.

Full text
Abstract:
One of the essential steps in time-dependent reliability analysis is the characterization of stochastic load processes and system random variables based on experimental or historical data. Limited data results in uncertainty in the modeling of random variables and stochastic loadings. The uncertainty in random variable and stochastic load models later causes uncertainty in the results of reliability analysis. An uncertainty quantification framework is developed in this paper for time-dependent reliability analysis. The effects of two kinds of uncertainty sources, namely data uncertainty and model uncertainty on the results of time-dependent reliability analysis are investigated. The Bayesian approach is employed to model the epistemic uncertainty sources in random variables and stochastic processes. A straightforward formulation of uncertainty quantification in time-dependent reliability analysis results in a double-loop implementation, which is computationally expensive. Therefore, this paper builds a surrogate model for the conditional reliability index in terms of variables with imprecise parameters. Since the conditional reliability index is independent of the epistemic uncertainty, the surrogate model is applicable for any realizations of the epistemic uncertainty. Based on the surrogate model, the uncertainty in time-dependent reliability analysis is quantified without evaluating the original limit-state function, which increases the efficiency of uncertainty quantification. The effectiveness of the proposed method is demonstrated using a mathematical example and an engineering application example.
APA, Harvard, Vancouver, ISO, and other styles
4

Hu, Zhen, Zhifu Zhu, and Xiaoping Du. "Time-Dependent Reliability Analysis for Bivariate Responses." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53441.

Full text
Abstract:
Time-dependent system reliability is measured by the probability that the responses of a system do not exceed prescribed failure thresholds over a period of time. In this work, an efficient time-dependent reliability analysis method is developed for bivariate responses that are general functions of random variables and stochastic processes. The proposed method is based on single and joint upcrossing rates, which are calculated by the First Order Reliability Method (FORM). The method can efficiently produce accurate upcrossing rates for the systems with two responses. The upcrossing rates can then be used for system reliability predictions with two responses. As the general system reliability may be approximated with the results from reliability analyses for individual responses and bivariate responses, the proposed method can be extended to reliability analysis for general systems with more than two responses. Two examples, including a parallel system and a series system, are presented.
APA, Harvard, Vancouver, ISO, and other styles
5

Sickert, J. U. "Time-dependent reliability of strengthened RC structures." In ICTRC'2006 - 1st International RILEM Conference on Textile Reinforced Concrete. RILEM Publications SARL, 2006. http://dx.doi.org/10.1617/2351580087.026.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Wu, Hao, and Xiaoping Du. "Time-Dependent System Reliability Analysis With Second Order Reliability Method." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22214.

Full text
Abstract:
Abstract System reliability is quantified by the probability that a system performs its intended function in a period of time without failure. System reliability can be predicted if all the limit-state functions of the components of the system are available, and such a prediction is usually time consuming. This work develops a time-dependent system reliability method that is extended from the component time-dependent reliability method that uses the envelop method and second order reliability method. The proposed method is efficient and is intended for series systems with limit-state functions whose input variables include random variables and time. The component reliability is estimated by the existing second order component reliability method, which produces component reliability indexes. The covariance between components responses are estimated with the first order approximations, which are available from the second order approximations of the component reliability analysis. Then the joint probability of all the component responses is approximated by a multivariate normal distribution with its mean vector being component reliability indexes and covariance being those between component responses. The proposed method is demonstrated and evaluated by three examples.
APA, Harvard, Vancouver, ISO, and other styles
7

Guan, Xuefei, Jingjing He, Ratneshwar Jha, and Yongming Liu. "Time-dependent reliability analysis using efficient Bayesian method." In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
20th AIAA/ASME/AHS Adaptive Structures Conference
14th AIAA. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1593.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Pandey, Vijitashwa, Zissimos P. Mourelatos, and Annette Skowronska. "Flexible Design of Systems Considering Time-Dependent Reliability." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46625.

Full text
Abstract:
Many repairable systems degrade with time and are subjected to time-varying loads. Their characteristics may change over time considerably, making the assessment of their performance and hence their design difficult. To address this issue, we introduce in this paper the concept of flexible design of repairable systems under time-dependent reliability considerations. In flexible design, the system can be modified in the future to accommodate uncertain events. As a result, regardless of how uncertainty resolves itself, a modification is available that will keep the system close to optimal provided failure events have been properly characterized. We discuss how flexible design of repairable systems requires a fundamentally new approach and demonstrate its advantages using the design of a hydrokinetic turbine. Our results show that long-term metrics are improved when time-dependent characteristics and flexibility are considered together.
APA, Harvard, Vancouver, ISO, and other styles
9

Singh, Amandeep, Zissimos P. Mourelatos, and Efstratios Nikolaidis. "An Importance Sampling Approach for Time-Dependent Reliability." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47200.

Full text
Abstract:
Reliability is an important engineering requirement for consistently delivering acceptable product performance through time. The reliability usually degrades with time increasing the lifecycle cost due to potential warranty costs, repairs and loss of market share. Reliability is the probability that the system will perform its intended function successfully for a specified time. In this article, we consider the first-passage reliability which accounts for the first time failure of non-repairable systems. Methods are available which provide an upper bound to the true reliability which may overestimate the true value considerably. The traditional Monte-Carlo simulation is accurate but computationally expensive. A computationally efficient importance sampling technique is presented to calculate the cumulative probability of failure for random dynamic systems excited by a stationary input random process. Time series modeling is used to characterize the input random process. A detailed example demonstrates the accuracy and efficiency of the proposed importance sampling method over the traditional Monte Carlo simulation.
APA, Harvard, Vancouver, ISO, and other styles
10

Singh, Amandeep, Zissimos P. Mourelatos, and Jing Li. "Design for Lifecycle Cost Using Time-Dependent Reliability." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86587.

Full text
Abstract:
Reliability is an important engineering requirement for consistently delivering acceptable product performance through time. As time progresses, the product may fail due to time phenomena such as time-dependent operating conditions, component degradation, etc. The degradation of reliability with time may increase the lifecycle cost due to potential warranty costs, repairs and loss of market share. In design for lifecycle cost, we must account for product quality, and time-dependent reliability. Quality is a measure of our confidence that the product conforms to specifications as it leaves the factory. Reliability depends on 1) the probability that the system will perform its intended function successfully for a specified interval of time (no hard failure), and 2) on the probability that the system response will not exceed an objectionable by the customer or operator, threshold for a certain time period (no soft failure). Quality is time-independent, and reliability is time-dependent. This article presents a design methodology to determine the optimal design of time-dependent, multi-response systems, by minimizing the cost during the life of the product. The conformance of multiple responses is treated in a series-system fashion. The lifecycle cost includes a production, an inspection, and an expected variable cost. All costs depend on quality and/or reliability. The key to our approach is the calculation of the so-called system cumulative distribution function (time-dependent probability of failure). For that we use an equivalent time-invariant “composite” limit state which is accurate for monotonic or non-monotonic in time, systems. Examples highlight the calculation of the cumulative distribution function and the design methodology for lifecycle cost.
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Time-dependent reliability"

1

Shaked, Moshe, and J. G. Shanthikumar. On the First Failure Time of Dependent Multicomponent Reliability Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada170223.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Time-dependent reliability' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography