Research Repository

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Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge (2018)
Journal Article
Matos, J. C., Moreira, V. N., Valente, I. B., Cruz, P. J., Neves, L. C., & Galvão, N. (2019). Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge. Engineering Structures, 181, 95-110. doi:10.1016/j.engstruct.2018.12.006

This paper presents a framework to assess the safety of existing structures, combining deterministic model identification and reliability assessment techniques, considering both load-test and complementary laboratory test results. Firstly, the propos... Read More

Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study (2018)
Journal Article
Perrotta, F., Parry, T., Neves, L. C., Buckland, T., Benbow, E., & 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, 67, 109-118. doi:10.1016/j.trd.2018.11.001

This paper presents an assessment of the accuracy of the HDM-4 fuel consumption model calibrated for the United Kingdom and evaluates the need for further calibration of the model. The study focuses on HGVs and compares estimates made by HDM-4 to mea... Read More

Mechanical performance of eco-efficient hollow clay bricks incorporating industrial nano-crystalline aluminium sludge (2018)
Journal Article
Cavaco, E. S., Grilo, I., Gouveia, J. P., Júlio, E., & Neves, L. C. (2018). Mechanical performance of eco-efficient hollow clay bricks incorporating industrial nano-crystalline aluminium sludge. European Journal of Environmental and Civil Engineering, doi:10.1080/19648189.2018.1492974

In this paper, mechanical properties of a new structural and eco-efficient hollow clay bricks are investigated. The principal goal was to recycle residual sludge from aluminium anodizing industries by incorporating it in the raw material of bricks, t... Read More

Effect of non-structural masonry brick infill walls on the robustness of a RC (2018)
Journal Article
Barros, M., Cavaco, E., Neves, L., & Julio, E. (2019). Effect of non-structural masonry brick infill walls on the robustness of a RC. Engineering Structures, 180, 274-283. doi:10.1016/j.engstruct.2018.11.027

Western countries are increasingly demanding for robust structures, i.e., structures capable of withstanding local damage caused by unforeseen extreme events without triggering a progressive collapse, thus reducing the magnitude and proportion of the... Read More

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

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

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

Stochastic petri-net models to predict the degradation of ceramic claddings (2018)
Journal Article
Ferreira, C., Canhoto Neves, L., Silva, A., & de Brito, J. (2018). Stochastic petri-net models to predict the degradation of ceramic claddings. Building Research and Information, doi:10.1080/09613218.2018.1501873. ISSN 0961-3218

A stochastic Petri-net formalism is proposed to predict the degradation of ceramic claddings over time in order to understand how different environmental exposure conditions contribute to the overall degradation of these claddings. For that purpose,... Read More

Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load (2018)
Journal Article
Baghi, H., Oliveira, A., Valença, J., Cavaco, E., Neves, L., & Júlio, E. (2018). Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load. Engineering Structures, 171, (476-487). doi:10.1016/j.engstruct.2018.06.001. ISSN 0141-0296

The effectiveness of masonry infill wall on behavior of a Reinforced Concrete (RC) frame subjected to a column failure is studied experimentally. For this reason, one full scale RC frame designed according to Eurocode is statically tested to investig... Read More

Stochastic petri net-based modeling of the durability of renderings (2017)
Journal Article
Ferreira, C., Canhoto Neves, L., Silva, A., & Brito, J. D. (2018). Stochastic petri net-based modeling of the durability of renderings. Automation in Construction, 87, 96-105. doi:10.1016/j.autcon.2017.12.007

In this study, a methodology to model and predict the life-cycle performance of building façades based on Stochastic Petri Nets is proposed. The proposed model evaluates the performance of rendered façades over time, evaluating the uncertainty of the... Read More

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

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