http://repositorio.lnec.pt:8080/jspui/handle/123456789/68 2026-10-26T10:40:32Z 2026-10-26T10:40:32Z Mateus, M. Fernandes, U. Viegas, J. Coelho, P. J. http://repositorio.lnec.pt:8080/jspui/handle/123456789/1019446 2026-05-05T16:30:33Z 2026-01-17T00:00:00Z

Fire in Tunnels: The Influence of the Heat Release Rate on the Lower Layer Contamination Mateus, M.; Fernandes, U.; Viegas, J.; Coelho, P. J. MDPI

2026-01-17T00:00:00Z Reis, L. Martins, R. Pinho-da-Cruz, J. Emílio, F. T. Viegas, J. http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018036 2025-04-16T13:31:24Z 2024-07-01T00:00:00Z

2.ª Geração do Eurocódigo 9 - Projeto de estruturas de alumínio Reis, L.; Martins, R.; Pinho-da-Cruz, J.; Emílio, F. T.; Viegas, J. A segunda geração dos Eurocódigos Estruturais está em conclusão e,entre eles, o Eurocódigo 9, que se aplica a estruturas de alumínio, tema importância de poder facilitar um uso estrutural mais amplo dessematerial. Neste artigo são analisadas as principais diferenças entre a primeira e a segunda geração deste Eurocódigo.

2024-07-01T00:00:00Z Fernandes, U. Viegas, J. Coelho, P. J. http://repositorio.lnec.pt:8080/jspui/handle/123456789/1017997 2025-04-15T13:35:11Z 2024-09-01T00:00:00Z

Fire in Road Tunnels. The Influence of the Heat Release Rate in Smoke Flow Fernandes, U.; Viegas, J.; Coelho, P. J.

2024-09-01T00:00:00Z Neto, J. Morais, A.J. Gonçalves, R. Leça Coelho, A. http://repositorio.lnec.pt:8080/jspui/handle/123456789/1017055 2024-03-05T15:30:57Z 2023-12-06T00:00:00Z

Guiding Evacuees to Improve Fire Building Evacuation Efficiency: Hazard and Congestion Models to Support Decision Making by a Context-Aware Recommender System Neto, J.; Morais, A.J.; Gonçalves, R.; Leça Coelho, A. https://www.mdpi.com/journal/buildings Abstract: Fires in large buildings can have tragic consequences, including the loss of human lives. Despite the advancements in building construction and fire safety technologies, the unpredictable nature of fires, particularly in large buildings, remains an enormous challenge. Acknowledging the paramount importance of prioritising human safety, the academic community has been focusing consistently on enhancing the efficiency of building evacuation. While previous studies have inte- grated evacuation simulation models, aiding in aspects such as the design of evacuation routes and emergency signalling, modelling human behaviour during a fire emergency remains challenging due to cognitive complexities. Moreover, behavioural differences from country to country add another layer of complexity, hindering the creation of a universal behaviour model. Instead of centring on modelling the occupant behaviour, this paper proposes an innovative approach aimed at enhancing the occupants’ behaviour predictability by providing real-time information to the occupants regarding the most suitable evacuation routes. The proposed models use a building’s environmental conditions to generate contextual information, aiding in developing solutions to make the occupants’ behaviour more predictable by providing them with real-time information on the most appropriate and efficient evacuation routes at each moment, guiding the occupants to safety during a fire emergency. The models were incorporated into a context-aware recommender system for testing purposes. The simulation results indicate that such a system, coupled with hazard and congestion models, positively influences the occupants’ behaviour, fostering faster adaptation to the environmental conditions and ultimately enhancing the efficiency of building evacuations.

2023-12-06T00:00:00Z