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Analysing the impact of local factors on the life cycle of metallic bridge girders (2023)
Conference Proceeding
Calvert, G., Hamer, M., Neves, L., & Andrews, J. (2023). Analysing the impact of local factors on the life cycle of metallic bridge girders. In F. Biondini, & D. M. Frangopol (Eds.), Life-Cycle of Structures and Infrastructure Systems: PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE CIVIL ENGINEERING (IALCCE 2023), 2-6 JULY, 2023, POLITECNICO DI MILANO, MILAN, ITALY

A fundamental component of a life cycle analysis of a bridge is the modelling of asset condition post-construction. To enhance the accuracy of bridge deterioration models, several studies have calibrated models based on cohorts that incorporate struc... Read More about Analysing the impact of local factors on the life cycle of metallic bridge girders.

An Overview Of Strategic Bridge Life Cycle Modelling On The British Railway (2022)
Conference Proceeding
Hamer, M. J., Calvert, G. S., & Neves, L. A. C. (2022). An Overview Of Strategic Bridge Life Cycle Modelling On The British Railway. In J. Ramon Casas, D. M. Frangopol, & J. Turmo (Eds.), Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability: Proceedings of the Eleventh International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022), Barcelona, Spain, July 11-15, 2022

Bridges are critical assets for the safe, reliable, and functional operation of transportation networks. Infrastructure asset managers are responsible for ensuring that these bridges adhere to rigorous safety standards using the finite resources avai... Read More about An Overview Of Strategic Bridge Life Cycle Modelling On The British Railway.

Modelling the interactions between defect mechanisms on metal bridges (2021)
Conference Proceeding
Calvert, G., Neves, L., Andrews, J., & Hamer, M. (2021). Modelling the interactions between defect mechanisms on metal bridges. In Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations: Proceedings of the Tenth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020)

Bridge asset managers have finite resources at their disposal to minimise the risk of structural failure and ensure bridges are maintained to a suitable safety threshold. Any maintenance strategy must be efficient in its use of resources and deliver... Read More about Modelling the interactions between defect mechanisms on metal bridges.

Resilience indicators for road networks: the role of robustness and rapidity (2019)
Conference Proceeding
Sohouenou, P. Y., Neves, L. A., & Presti, D. L. (2019). Resilience indicators for road networks: the role of robustness and rapidity

With the increased complexity of urban systems, the need to protect the services of smart cities from disruptions by increasing their resilience to adverse events is more critical than ever before. The present paper aims at clarifying the meaning of... Read More about Resilience indicators for road networks: the role of robustness and rapidity.

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.

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 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.

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.

Application of machine learning for fuel consumption modelling of trucks (2017)
Conference Proceeding
Perrotta, F., Parry, T., & Neves, L. C. (2017). Application of machine learning for fuel consumption modelling of trucks.

This paper presents the application of three Machine Learning techniques to fuel consumption modelling of articulated trucks for a large dataset. In particular, Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN) mod... Read More about Application of machine learning for fuel consumption modelling of trucks.

Using truck sensors for road pavement performance investigation (2017)
Conference Proceeding
Perrotta, F., Parry, T., & Neves, L. C. (2017). Using truck sensors for road pavement performance investigation.

Considering data from 260 articulated trucks, with ~12900 cc Euro 6 engines driving along a motorway in England (M18), the study first shows how different approaches lead to the conclusion that road pavement surface conditions influence fuel consumpt... Read More about Using truck sensors for road pavement performance investigation.

Bridge asset management using Petri-Nets (2017)
Conference Proceeding
Yianni, P., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2017). Bridge asset management using Petri-Nets.

Management of a diverse portfolio of assets is a demanding and complex task. Although extensive research has been carried out in bridge asset management models, the model developed in this study contains flexibility which is able to model a vast arra... Read More about Bridge asset management using Petri-Nets.

Route level analysis of road pavement surface condition and truck fleet fuel consumption (2017)
Conference Proceeding
Perrotta, F., Trupia, L., Parry, T., & Neves, L. C. (2017). Route level analysis of road pavement surface condition and truck fleet fuel consumption.

Experimental studies have estimated the impact of road surface conditions on vehicle fuel consumption to be up to 5% (Beuving et al., 2004). Similar results have been published by Zaabar and Chatti (2010). However, this was established testing a limi... Read More about Route level analysis of road pavement surface condition and truck fleet fuel consumption.

A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption (2017)
Conference Proceeding
Perrotta, F., Parry, T., & Neves, L. C. (2017). A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption.

In Europe, the road network is the most extensive and valuable infrastructure asset. In England, for example, its value has been estimated at around £344 billion and every year the government spends approximately £4 billion on highway maintenance (Ho... Read More about A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption.