Time-variant reliability analysis of a continuous system with strength deterioration based on subset simulation

Xi-Nong En, Yi-Min Zhang, Xian-Zhen Huang

Advances in Manufacturing ›› 2019, Vol. 7 ›› Issue (2) : 188-198.

Advances in Manufacturing ›› 2019, Vol. 7 ›› Issue (2) : 188-198. DOI: 10.1007/s40436-019-00252-7
Article

Time-variant reliability analysis of a continuous system with strength deterioration based on subset simulation

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Abstract

To conduct a reliability analysis for mechanical components, it is necessary to consider the combined influence of strength deterioration and dynamic loads. An efficient method based on subset simulation is proposed in this paper to analyze time-variant reliability by considering the strength deterioration of mechanical components in a continuous system. A gamma process is used to describe the deterioration of system strength. A model for time-variant reliability considering strength deterioration is constructed for a continuous system. A representative example and tubular cantilever structure are assessed to demonstrate the efficiency and accuracy of the proposed method. The reliability probability examples were analyzed using a first-order reliability method and benchmark results for the proposed method were derived using direct Monte Carlo simulation (MCS). The results of the proposed method and MCS are consistent, indicating that the proposed method is an effective reliability analysis method for evaluating small failure probabilities in a continuous system subjected to strength deterioration and dynamic loads.

Keywords

Time-variant reliability / Strength deterioration / Subset simulation (SS) / Continuous system

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Xi-Nong En, Yi-Min Zhang, Xian-Zhen Huang. Time-variant reliability analysis of a continuous system with strength deterioration based on subset simulation. Advances in Manufacturing, 2019, 7(2): 188‒198 https://doi.org/10.1007/s40436-019-00252-7

References

[1.]
Castaldo P, Palazzo B, Mariniello A. Effects of the axial force eccentricity on the time-variant structural reliability of agingcross-sections subjected to chloride-induced corrosion. Eng Struct, 2017, 130: 261-274.
CrossRef Google scholar
[2.]
Huang X, Li Y, Zhang Y, et al. A new direct second-order reliability analysis method. Appl Math Model, 2018, 55: 68-80.
CrossRef Google scholar
[3.]
Zhu SP, Huang HZ, Peng WW, et al. Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty. Reliab Eng Syst Saf, 2016, 146: 1-12.
CrossRef Google scholar
[4.]
Mori Y, Ellingwood BR. Reliability-based service-life assessment of aging concrete structures. J Struct Eng, 1993, 119(5): 1600-1621.
CrossRef Google scholar
[5.]
Li CQ. Computation of the failure probability of deteriorating structural systems. Comput Struct, 1995, 56(6): 1073-1079.
CrossRef Google scholar
[6.]
Ciampoli M. Time dependent reliability of structural systems subject to deterioration. Comput Struct, 1998, 67(1–3): 29-35.
CrossRef Google scholar
[7.]
Li Q, Wang C, Ellingwood BR. Time-dependent reliability of aging structures in the presence of non-stationary loads and degradation. Struct Saf, 2015, 52: 132-141.
CrossRef Google scholar
[8.]
Rice SO. Mathematical analysis of random noise. Bell Syst Tech J, 1944, 23(3): 282-332.
CrossRef Google scholar
[9.]
Andrieu-Renaud C, Sudret B, Lemaire M. The PHI2 method: a way to compute time-variant reliability. Reliab Eng Syst Saf, 2004, 84(1): 75-86.
CrossRef Google scholar
[10.]
Zhang XJ, Xie LY, Wu Y, et al. Modeling for time-variant reliability of mechanism. Adv Mater Res, 2010, 118–120: 621-624.
CrossRef Google scholar
[11.]
Li CC, Kiureghian AD. Optimal discretization of random fields. J Eng Mech, 1993, 119(6): 1136-1154.
CrossRef Google scholar
[12.]
Au SK, Beck JL. Estimation of small failure probabilities in high dimensions by subset simulation. Probab Eng Mech, 2001, 16(4): 263-277.
CrossRef Google scholar
[13.]
Au SK, Beck JL. Subset simulation and its application to seismic risk based on dynamic analysis. J Eng Mech, 2003, 129(8): 901-917.
CrossRef Google scholar
[14.]
Vahdatirad MJ, Andersen LV, Ibsen LB, et al. Stochastic dynamic stiffness of a surface footing for offshore wind turbines: implementing a subset simulation method to estimate rare events. Soil Dyn Earthq Eng, 2014, 65: 89-101.
CrossRef Google scholar
[15.]
Norouzi M, Nikolaidis E. Integrating subset simulation with probabilistic re-analysis to estimate reliability of dynamic systems. Struct Multidiscip Optim, 2013, 48(3): 533-548.
CrossRef Google scholar
[16.]
Song SF, Lu ZZ, Qiao HW. Subset simulation for structural reliability sensitivity analysis. Reliab Eng Syst Saf, 2009, 94(2): 658-665.
CrossRef Google scholar
[17.]
Bourinet JM, Deheeger F, Lemaire M. Assessing small failure probabilities by combined subset simulation and support vector machines. Struct Saf, 2011, 33(6): 343-353.
CrossRef Google scholar
[18.]
Zuev KM, Beck JL, Au SK, et al. Bayesian post-processor and other enhancements of subset simulation for estimating failure probabilities in high dimensions. Comput Struct, 2012, 92–93: 283-296.
CrossRef Google scholar
[19.]
Li HS, Ma YZ, Cao ZJ. A generalized subset simulation approach for estimating small failure probabilities of multiple stochastic responses. Comput Struct, 2015, 153: 239-251.
CrossRef Google scholar
[20.]
Wang Z, Mourelatos ZP, Li J, et al. Time-dependent reliability of dynamic systems using subset simulation with splitting over a series of correlated time intervals. J Mech Des, 2014, 136(6): 061008.
CrossRef Google scholar
[21.]
Yu S, Wang ZL. A novel time-variant reliability analysis method based on failure processes decomposition for dynamic uncertain structures. J Mech Des, 2018, 140(5): 051401.
CrossRef Google scholar
[22.]
Yu S, Wang ZL, Meng DB. Time-variant reliability assessment for multiple failure modes and temporal parameters. Struct Multidiscip Optim, 2018, 58(4): 1705-1717.
CrossRef Google scholar
[23.]
Abdel-Hameed M. A gamma wear process. IEEE Trans Reliab, 1975, 24(2): 152-153.
CrossRef Google scholar
[24.]
Van Noortwijk JM. A survey of the application of gamma processes in maintenance. Reliab Eng Syst Saf, 2009, 94(1): 2-21.
CrossRef Google scholar
[25.]
Ellingwood BR, Mori Y. Probabilistic methods for condition assessment and life prediction of concrete structures in nuclear power plants. Nucl Eng Des, 1993, 142(2–3): 155-166.
CrossRef Google scholar
[26.]
Cinlar E, Osman E, Bazant ZP. Stochastic process for extrapolating concrete creep. J Eng Mech Div, 1977, 103(6): 1069-1088.
[27.]
Hoffmans GJCM, Pilarczyk KW. Local scour downstream of hydraulic structures. J Hydraul Eng, 1995, 121(4): 326-340.
CrossRef Google scholar
[28.]
Van Noortwijk JM, Klatter HE. Optimal inspection decisions for the block mats of the eastern-scheldt barrier. Reliab Eng Syst Saf, 1999, 65: 203-211.
CrossRef Google scholar
[29.]
Papaioannou I, Betz W, Zwirglmaier K, et al. MCMC algorithms for subset simulation. Probab Eng Mech, 2015, 41: 89-103.
CrossRef Google scholar
[30.]
Metropolis N, Rosenbluth AW, Rosenbluth MN, et al. Equation of state calculations by fast computing machines. J Chem Phys, 1953, 21: 1087-1092.
CrossRef Google scholar
[31.]
Zhao YG, Ono T. A general procedure for first/second-order reliability method (FORM/SORM). Struct Safe, 1999, 21(2): 95-112.
CrossRef Google scholar
[32.]
Baumgärtner A, Binder K. Applications of the Monte Carlo method in statistical physics, 1987, Berlin: Springer
[33.]
Zhang YM, He XD, Liu QL, et al. Robust reliability design of banjo flange with arbitrary distribution parameters. J Press Vessel Technol, 2005, 127(4): 408-413.
CrossRef Google scholar
[34.]
O’Connor AN. Probability distributions used in reliability engineering, 2011, Maryland: University of Maryland
[35.]
Bellman RE. Adaptive control processes: a guided tour, 1961, New Jersey: Princeton University Press.
CrossRef Google scholar
[36.]
International Organization for Standards ISO 6336-2-2006 calculation of load capacity of sour and helical gears-part 2: calculation of surface durability (pittings), 2006, Switzerland: International Organization for Standards
[37.]
Au SK, Wang Y. Engineering risk assessment with subset simulation, 2014, New Jersey: Wiley/Blackwell.
CrossRef Google scholar
[38.]
Madsen HO, Krenk S, Lind N. Methods of structural safety, 1986, New Jersey: Prentice Hall
[39.]
Du XP, Chen W. Towards a better understanding of modeling feasibility robustness in engineering design. J Mech Des, 1999, 122(4): 385-394.
CrossRef Google scholar
Funding
National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(U1708254)

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