Resilience Engineering Research Group

Publications

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YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J.D., 2015. Scheduling Pavement Maintenance using Genetic Algorithms International Journal of Performability Engineering, Special Issue for Transport System Safety, Risk and Asset Management. 11(2), 135-152

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FECAROTTI, C., ANDREWS, J. and REMENYTE-PRESCOTT, R., 2015. Towards a Fault Tolerant Railway International Journal of COMADEM. 18(1), 15-26

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ANDREWS JD, PRESCOTT DR and DE ROZIÈRES F, 2014. A stochastic model for railway track asset management Reliab. Eng. Syst. Saf. 130, 76-84

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PRESCOTT DR and ANDREWS JD, 2014. Modelling the effects of asset management decisions on a railway track section In: Proceedings of the 2nd International Conference on Railway Technology: Research Development and Maintenance.

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SHENG J and PRESCOTT DR, 2014. A coloured Petri net model of fleet cannibalisation In: The 3rd International Workshop and Congress on eMaintenance 2014. 27-35

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PRESCOTT DR, ANDREWS JD and DE ROZIERES F, 2014. A stochastic railway track maintenance model In: Safety, Reliability and Risk Analysis - Proc. ESREL 2013. 873-879

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MANUEL CHIACHÍO, JUAN CHIACHÍO, GUILLERMO RUS and JAMES L. BECK, 2014. Predicting fatigue damage in composites: A Bayesian framework Structural Safety. 51, 57 - 68

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CHIACHIO,M., BEC,J. L., CHIACHIO,J. and RUS,G., 2014. Approximate bayesian computation by subset simulation SIAM Journal on Scientific Computing. 36(3), A1339-A1358

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GERARDY, ISABELLE, STICHELBAUT, FREDERIC and TOLO, SILVIA, 2014. MCNPX simulations of the response of the extended-range rem meter WENDI-2: Nuclear Technology and Radiation Protection Nuclear Technology and Radiation Protection. 29(suppl.), 25-30

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TOLO, SILVIA, PATELLI, EDOARDO and BEER, MICHAEL, 2014. Bayesian network approach for risk assessment of a spent nuclear fuel pond. In: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management 598-607

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LLOYD, M. D., ANDREWS, J. D., REMENYTE-PRESCOTT, R., PEARSON, J. T. and HUBBARD, P., 2014. A petri net approach to fault verification in phased mission systems using the standard deviation technique: Quality and Reliability Engineering International Quality and Reliability Engineering International. 30(1), 83-95

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ANDREWS, JOHN, PRESCOTT, DARREN and DE ROZIERES, FLORIAN, 2014. A stochastic model for railway track asset management RELIABILITY ENGINEERING & SYSTEM SAFETY. 130, 76-84

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FECAROTTI, C., ANDREWS, J. D. and REMENYTE-PRESCOTT, R., 2014. Modeling a fault tolerant railway system SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON. 2981-2988

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YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2014. Road network modelling for maintenance planning SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON. 881-888

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REED, S., LOFSTRAND, M., KARLSSON, L. and ANDREWS, J., 2014. Analysis of the Contributors to the Performance of a Functional Product Design Using Simulation Journal of the Safety and Reliability Society. 34(2), 41-61
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Resilience Engineering Research Group

The University of Nottingham
Pavement Research Building
University Park
Nottingham, NG7 2RD


telephone: +44 (0)115 84 67366
email: r.remenyte-prescott@nottingham.ac.uk