Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal–hydraulic passive system
Tóm tắt
Từ khóa
Tài liệu tham khảo
Mackay, 2008, Incorporating reliability analysis into the design of passive cooling systems with an application to a gas-cooled reactor, Nuclear Engineering and Design, 238, 217, 10.1016/j.nucengdes.2007.04.006
IAEA. Safety related terms for advanced nuclear plant. IAEA TECDOC-626, 1991.
Mathews, 2008, Functional reliability analysis of safety grade decay heat removal system of Indian 500MWe PFBR, Nuclear Engineering and Design, 238, 2369, 10.1016/j.nucengdes.2008.02.012
Apostolakis, 1990, The concept of probability in safety assessment of technological systems, Science, 250, 1359, 10.1126/science.2255906
Helton, 2004, Alternative representations of epistemic uncertainties, Reliability Engineering and System Safety, 85, 10.1016/j.ress.2004.03.001
Marquès, 2005, Methodology for the reliability evaluation of a passive system and its integration into a probabilistic safety assessment, Nuclear Engineering and Design, 235, 2612, 10.1016/j.nucengdes.2005.06.008
Patalano, 2008, Risk-informed design changes in a passive decay heat removal system, Nuclear Technology, 163, 191, 10.13182/NT08-A3981
Burgazzi, 2003, Reliability evaluation of passive systems through functional reliability assessment, Nuclear Technology, 144, 145, 10.13182/NT144-145
Burgazzi, 2007, State of the art in reliability of thermal–hydraulic passive systems, Reliability Engineering and System Safety, 92, 671, 10.1016/j.ress.2006.02.006
Bassi C, Marquès M. Reliability assessment of 2400MWth gas-cooled fast reactor natural circulation decay heat removal in pressurized situations. In: Natural circulation in nuclear reactor systems, Science and technology of nuclear installations, special issue paper 87376, Hindawi Publishing Corporation, 2008.
Fong CJ, Apostolakis GE. 2008. The use of response surface methodology to perform uncertainty analyses on passive safety systems. In: Proceedings of PSA 08 international topical meeting on probabilistic safety assessment, Knoxville, Tennessee, September 7–11, 2008, American Nuclear Society, La Grange Park, Illinois.
Jafari, 2003, Reliability evaluation of a natural circulation system, Nuclear Engineering and Design, 224, 79, 10.1016/S0029-5493(03)00105-5
Pagani, 2005, The impact of uncertainties on the performance of passive systems, Nuclear Technology, 149, 129, 10.13182/NT149-129
Zio, 2009, Estimation of the functional failure probability of a thermal–hydraulic passive systems by means of subset simulation, Nuclear Engineering and Design, 239, 580, 10.1016/j.nucengdes.2008.11.005
Zio, 2009, Functional failure analysis of a thermal–hydraulic passive system by means of line sampling, Reliability Engineering and System Safety, 9, 1764, 10.1016/j.ress.2009.05.010
Schueller, 2007, On the treatment of uncertainties in structural mechanics and analysis, Computers and Structures, 85, 235, 10.1016/j.compstruc.2006.10.009
Bucher, 2008, A comparison of approximate response function in structural reliability analysis, Probabilistic Engineering Mechanics, 23, 154, 10.1016/j.probengmech.2007.12.022
Gavin, 2008, High-order limit state functions in the response surface method for structural reliability analysis, Structural Safety, 30, 162, 10.1016/j.strusafe.2006.10.003
Liel, 2009, Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings, Structural Safety, 31, 197, 10.1016/j.strusafe.2008.06.002
Marrel, 2009, Calculations of Sobol indices for the Gaussian process metamodel, Reliability Engineering and System Safety, 94, 742, 10.1016/j.ress.2008.07.008
Volkova, 2008, Global sensitivity analysis for a numerical model of radionuclide migration from the RRC “Kurchatov Institute” redwaste disposal site, Stochastic Environmental Research and Risk Assessment, 22, 17, 10.1007/s00477-006-0093-y
Cardoso, 2008, Structural reliability analysis using Monte Carlo simulation and neural networks, Advances in Engineering Software, 39, 505, 10.1016/j.advengsoft.2007.03.015
Cheng, 2008, A new artificial neural network-based response surface method for structural reliability analysis, Probabilistic Engineering Mechanics, 23, 51, 10.1016/j.probengmech.2007.10.003
Deng, 2006, Structural reliability analysis for implicit performance function using radial basis functions, International Journal of Solids and Structures, 43, 3255, 10.1016/j.ijsolstr.2005.05.055
Hurtado, 2007, Filtered importance sampling with support vector margin: a powerful method for structural reliability analysis, Structural Safety, 29, 2, 10.1016/j.strusafe.2005.12.002
Cadini, 2008, An empirical model based bootstrapped neural networks for computing the maximum fuel cladding temperature in a RBMK-1500 nuclear reactor accident, Nuclear Engineering and Design, 238, 2165, 10.1016/j.nucengdes.2008.01.018
Efron, 1993, vol. 57
Secchi, 2008, Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks, Annals of Nuclear Energy, 35, 2338, 10.1016/j.anucene.2008.07.010
Storlie CB, Swiler LP, Helton JC, Sallaberry CJ. Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models. Reliability Engineering and System Safety 2009;94:1735–63.
Zio, 2006, A study of the bootstrap method for estimating the accuracy of artificial neural networks in predicting nuclear transient processes, IEEE Transactions on Nuclear Science, 53, 1460, 10.1109/TNS.2006.871662
Bishop, 1995
Rumelhart, 1986, Learning internal representations by error back-propagation, vol. 1
Gazut, 2008, Towards the optimal design of numerical experiments, IEEE Transactions on Neural Networks, 19, 874, 10.1109/TNN.2007.915111
Baxt, 1995, Bootstrapping confidence intervals for clinic input variable effects in a network trained to identify the presence of acute myocardial infarction, Neural Computation, 7, 624, 10.1162/neco.1995.7.3.624
Helton JC, 1998. Uncertainty and sensitivity analysis results obtained in the 1996 performance assessment for the waste isolation power plant. SAND98-0365, Sandia National Laboratories.
NUREG-1150. 1990. Severe accident risk: an assessment for five US nuclear power plants, US Nuclear Regulatory Commission.
USNRC. 1998. An approach for using probabilistic risk assessment in risk-informed decisions on plant-specific changes to the licensing basis. NUREG-1.174, US Nuclear Regulatory Commission, Washington, DC.
Cacuci, 2004, A comparative review of sensitivity and uncertainty analysis of large scale systems—II: statistical methods, Nuclear Science and Engineering, 147, 204, 10.13182/04-54CR
Helton, 2006, Survey on sampling-based methods for uncertainty and sensitivity analysis, Reliability Engineering and System Safety, 91, 1175, 10.1016/j.ress.2005.11.017
Zhang, 2004, Performance-based design and seismic reliability analysis using designed experiments and neural networks, Probabilistic Engineering Mechanics, 19, 259, 10.1016/j.probengmech.2004.02.009