All Outputs (4)

Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly (2024)
Journal Article
Algadhi, A., Psimoulis, P., Grizi, A., & Neves, L. (2024). Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly. Remote Sensing, 16(24), Article 4647. https://doi.org/10.3390/rs16244647

The surface anomaly is a common defect for structures that resist lateral stresses, such as retaining walls. The accurate detection of an anomaly using contactless techniques, such as the Terrestrial Laser Scanner (TLS), is significant for the reliab... Read More about Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly.

A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks (2018)
Presentation / Conference Contribution
Perrotta, F., Parry, T., Neves, L. C., & Mesgarpour, M. (2018, October). A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks. Presented at The Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018)

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)
Presentation / Conference Contribution
Perrotta, F., Parry, T., Neves, L. C., Mesgarpour, M., Benbow, E., & Viner, H. (2018, August). A big data approach for investigating the performance of road infrastructure. Presented at Civil Engineering Research in Ireland, CERI 2018

“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.

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. https://doi.org/10.1016/j.engstruct.2018.06.001

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 about Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load.