All Outputs (7)

Comparison of truck fuel consumption measurements with results of existing models and implications for road pavement LCA (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., Buckland, T., Benbow, E., & Viner, H. (2018). Comparison of truck fuel consumption measurements with results of existing models and implications for road pavement LCA.

Life Cycle Assessment (LCA) is increasingly used to evaluate the impact of all lifecycle phases of road pavements on the environment. From the late ‘90s, this technique has continuously evolved and improved, however, there are still limitations and u... Read More about Comparison of truck fuel consumption measurements with results of existing models and implications for road pavement LCA.

A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., & Mesgarpour, M. (2018). A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks.

There remains a level of uncertainty concerning the methodological assumptions and parameters to consider in the estimation of road vehicle fuel consumption due to the condition of road pavements. In fact, recent studies highlighted how existing mode... Read More about A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks.

Quantifying the impact of variability in railway bridge asset management (2018)
Conference Proceeding
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J. D., Tedstone, N., & Dean, R. (2018). Quantifying the impact of variability in railway bridge asset management.

Bridge asset management is often a challenging and complicated task due to the diversity, multitude and variation of bridge configurations. Much research has been carried out in the field of asset management which has resulted in a wealth of models t... Read More about Quantifying the impact of variability in railway bridge asset management.

A big data approach for investigating the performance of road infrastructure (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., Mesgarpour, M., Benbow, E., & Viner, H. (2018). A big data approach for investigating the performance of road infrastructure. In n/a

“Using truck sensors for road pavement performance investigation” is a research project within TRUSS, an innovative training network funded from the EU under the Horizon 2020 programme. The project aims at assessing the impact of the condition of the... Read More about A big data approach for investigating the performance of road infrastructure.

Numerical modelling of CLT diaphragms tested on a shake-table experiment (2018)
Conference Proceeding
Barbosa, A. R., Rodrigues, L., Sinha, A., Higgins, C., Zimmerman, R. B., Breneman, S., …Neves, L. C. (2018). Numerical modelling of CLT diaphragms tested on a shake-table experiment.

Current standards and existing literature provide very limited information regarding the design of cross-laminated timber (CLT) floor diaphragms. In addition, limited procedures exist to develop analytical models to estimate the deformation response... Read More about Numerical modelling of CLT diaphragms tested on a shake-table experiment.

Uncertainty quantification for random fields estimated from effective moduli of elasticity (2018)
Conference Proceeding
Pierce-Brown, J., Neves, L. C., & Brown, D. L. (2018). Uncertainty quantification for random fields estimated from effective moduli of elasticity. In Proceedings of the 8th International Workshop on Reliable Computing "Computing with Confidence", 16-18 July 2018, University of Liverpool, Liverpool, UK (51-62)

The stochastic finite element method is a useful tool to calculate the response of systems subject to uncertain parameters and has been applied extensively to analyse structures composed of randomly heterogeneous materials. The methodology to estimat... Read More about Uncertainty quantification for random fields estimated from effective moduli of elasticity.

Using Petri-Net modelling for a data-driven approach to bridge management and safety (2018)
Conference Proceeding
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2018). Using Petri-Net modelling for a data-driven approach to bridge management and safety.

Bridge portfolio managers have a difficult task managing a large, varied portfolio of aging assets in a squeezed financial climate and on networks with increasing usage. Therefore, decision support tools are becoming more and more integral in managin... Read More about Using Petri-Net modelling for a data-driven approach to bridge management and safety.