Resilience Engineering Research Group
  • Print
   
   

Publications

Content
NOLAN-MCSWEENEY, M., RYAN, B. and COBB, S., 2020. Engineering the Right Change Culture in a Complex (GB) Rail Industry

Content
REED, S., LÖFSTRAND, M. and ANDREWS, J., 2019. An efficient algorithm for computing exact system and survival signatures of K-terminal network reliability: Reliability Engineering and System Safety Reliability Engineering and System Safety. 185, 429-439

Content
YIANNI, P. C., NEVES, L. C., RAMA, D., ANDREWS, J. D., TEDSTONE, N. and DEAN, R., 2019. Quantifying the impact of variability in railway bridge asset management

Content
VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2019. Structural health monitoring of bridges: A bayesian network approach

Content
YIANNI, P. C., NEVES, L. C., RAMA, D., ANDREWS, J. D., TEDSTONE, N. and DEAN, R., 2019. Quantifying the impact of variability in railway bridge asset management

Content
SHUKLA, D. K., JOHN ARUL, A., WOOTTON, M. J. and ANDREWS, J., 2019. Reliability analysis of a safety system using petri net and comparison with smart component methodology

Content
NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M. J., 2019. Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach: Reliability Engineering and System Safety Reliability Engineering and System Safety. 182, 258-268

Content
VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2019. Structural health monitoring of bridges: A bayesian network approach

Content
CHIACHIO J, CHIACHIO M, PRESCOTT DR and ANDREWS JD, 2019. A knowledge-based prognostics framework for railway track geometry degradation Reliab. Eng. Syst. Saf. 181, 127-141

Content
SHENG J and PRESCOTT DR, 2019. A coloured Petri net framework for modelling aircraft fleet maintenance Reliab. Eng. Syst. Saf. 189, 67-88

Content

Content
PERROTTA, F., PARRY, T., NEVES, L. C., BUCKLAND, T., BENBOW, E. and MESGARPOUR, M., 2019. Verification of the HDM-4 fuel consumption model using a Big data approach: A UK case study: Transportation Research Part D: Transport and Environment Transportation Research Part D: Transport and Environment. 67, 109-118

Content
ABED, A., THOM, N. and NEVES, L., 2019. Probabilistic prediction of asphalt pavement performance: Road Materials and Pavement Design Road Materials and Pavement Design.
Displaying 1 to 15 of 870
Previous 1 2 3 4 5 Next

Resilience Engineering Research Group

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


telephone: +44 (0) 115 951 3944
email:kathryn.sanderson@nottingham.ac.uk