Outputs (7)

Modelling stochastic behaviour in simulation digital twins through neural nets (2021)
Journal Article
Reed, S., Löfstrand, M., & Andrews, J. (2022). Modelling stochastic behaviour in simulation digital twins through neural nets. Journal of Simulation, 16(5), 512-525. https://doi.org/10.1080/17477778.2021.1874844

Discrete event simulation (DES) is a widely used technique for modelling systems where state changes occur at discrete points in time. Stochastic behaviour is represented through random variables associated with probability distributions, from which... Read More about Modelling stochastic behaviour in simulation digital twins through neural nets.

Modelling interactions between multiple bridge deterioration mechanisms (2020)
Journal Article
Calvert, G., Neves, L., Andrews, J., & Hamer, M. (2020). Modelling interactions between multiple bridge deterioration mechanisms. Engineering Structures, 221, Article 111059. https://doi.org/10.1016/j.engstruct.2020.111059

Bridge asset managers are tasked with developing effective maintenance strategies by the stakeholders of transportation networks. Any presentation of maintenance strategies requires an estimate of the consequence on the Whole Life Cycle Cost (WLCC),... Read More about Modelling interactions between multiple bridge deterioration mechanisms.

Nuclear Facilities and Cyber Threats (2019)
Presentation / Conference Contribution
Tolo, S., & Andrews, J. (2019, September). Nuclear Facilities and Cyber Threats. Presented at 29th European Safety and Reliability Conference (ESREL 2019), Hannover, Germany

The exponential growth of digital technologies experienced in the last decades has shaped contemporary societies so thoroughly to earn the definition of digital revolution or third industrial revolution. Along with the penetration rate of digital tec... Read More about Nuclear Facilities and Cyber Threats.

Modelling the effect of hydrogen on crack growth in zirconium (2019)
Journal Article
Lloyd, A. L., Smith, R., Wootton, M. J., Andrews, J., Arul, J., Muruva, H. P., & Vinod, G. (2019). Modelling the effect of hydrogen on crack growth in zirconium. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 455, 13-20. https://doi.org/10.1016/j.nimb.2019.06.017

Via molecular dynamics simulations, the effects of hydrogen on stress evolution of -zirconium and crack propagation in monocrystalline and multiple grained zirconium systems are investigated. Diffusion barriers are shown to reduce when strain is appl... Read More about Modelling the effect of hydrogen on crack growth in zirconium.

Modelling adaptive systems using plausible Petri nets (2018)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018, July). Modelling adaptive systems using plausible Petri nets. Presented at 8th International Workshop on Reliable Engineering Computing, “ Computing with Confidence ”

One of the main challenges when analyzing and modelling complex systems using Petri nets is to deal with uncertain information, and moreover, to be able to use such uncertainty to dynamically adapt the modelled system to uncertain (changing) contextu... Read More about Modelling adaptive systems using plausible Petri nets.

A knowledge-based prognostics framework for railway track geometry degradation (2018)
Journal Article
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2019). A knowledge-based prognostics framework for railway track geometry degradation. Reliability Engineering and System Safety, 181, 127-141. https://doi.org/10.1016/j.ress.2018.07.004

This paper proposes a paradigm shift to the problem of infrastructure asset management modelling by focusing towards forecasting the future condition of the assets instead of using empirical modelling approaches based on historical data. The proposed... Read More about A knowledge-based prognostics framework for railway track geometry degradation.

A Bayesian assessment for railway track geometry degradation prognostics (2018)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018, July). A Bayesian assessment for railway track geometry degradation prognostics. Presented at 4th European Conference of the Prognostics and Health Management Society (PHME 2018)

Advanced PHM techniques have the potential to substantially reduce railway track maintenance costs while increasing safety and availability. However, there is still a significant lack of knowledge and experience in relation to suitable PHM models and... Read More about A Bayesian assessment for railway track geometry degradation prognostics.