Skip to main content

Research Repository

Advanced Search

All Outputs (6)

A Bayesian Belief Network method for bridge deterioration detection (2020)
Journal Article
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2021). A Bayesian Belief Network method for bridge deterioration detection. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 235(3), 338-355. https://doi.org/10.1177/1748006X20979225

Bridges are one of the most important assets of transportation networks. A closure of a bridge can increase the vulnerability of the geographic area served by such networks, as it reduces the number of available routes. Condition monitoring and deter... Read More about A Bayesian Belief Network method for bridge deterioration detection.

A Petri net approach to assess the effects of railway maintenance on track availability (2020)
Journal Article
Fecarotti, C., & Andrews, J. (2020). A Petri net approach to assess the effects of railway maintenance on track availability. Infrastructure Asset Management, 7(3), 201-220. https://doi.org/10.1680/jinam.18.00046

The railway infrastructure includes a portfolio of assets that are subjected to degradation and failure processes due to both usage and ageing. As a consequence of degradation and failures, speed restrictions and line closures may be imposed to contr... Read More about A Petri net approach to assess the effects of railway maintenance on track availability.

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.

Ranking the critical sections of railway networks (2020)
Journal Article
Meesit, R., & Andrews, J. (2021). Ranking the critical sections of railway networks. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 235(3), 361-376 . https://doi.org/10.1177/0954409720925689

Railway systems are now facing an increasing number of threats such as aging infrastructures and climate changes. The identification of critical network sections provides infrastructure managers with the ability to understand the impact of a disrupti... Read More about Ranking the critical sections of railway networks.

Multi-defect modelling of bridge deterioration using truncated inspection records (2020)
Journal Article
Calvert, G., Neves, L., Andrews, J., & Hamer, M. (2020). Multi-defect modelling of bridge deterioration using truncated inspection records. Reliability Engineering and System Safety, 200, https://doi.org/10.1016/j.ress.2020.106962

Bridge Management Systems (BMS) are decision support tools that have gained widespread use across the transportation infrastructure management industry. The Whole Life Cycle Cost (WLCC) modelling in a BMS is typically composed of two main components:... Read More about Multi-defect modelling of bridge deterioration using truncated inspection records.

Resilience in the context of Nuclear safety engineering (2020)
Conference Proceeding
Yan, R., Tolo, S., Dunnett, S., Andrews, J., & Patelli, E. (2020). Resilience in the context of Nuclear safety engineering

The safety and reliability of critical infrastructures is a key challenge in modern societies. This is all the more true when referring to the nuclear power industry, due to the rigid safety requirements on the one hand and the growing complexity of... Read More about Resilience in the context of Nuclear safety engineering.