ESTCB - Artigos em revistas com arbitragem científica
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Browsing ESTCB - Artigos em revistas com arbitragem científica by Field of Science and Technology (FOS) "Engenharia e Tecnologia"
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- Evacuation of Lisbon’s Baixa-Chiado subway station in case of firePublication . Borralho, Tiago; Rodrigues, João Paulo; Calmeiro dos Santos, CristinaIt is essential to ensure that any building has conditions for a safe evacuation of its occupants. This aspect is essential in subway stations, where evacuation has to be carried out in an upward way, and usually correspond to large structures constituting a single fire compartment. Baixa-Chiado subway station, in Lisbon, Portugal, was selected for studying the evacuation in case of fire, due to its depth, high number of passengers that frequent the station and the existing of two intersecting train lines. A calculation of evacuation time was calculated and the way of evacuation studied, in different fire scenarios, number and location of occupants. The numerical simulations used Fire Dynamics Simulator and Pathfinder softwares, the first for fire spreading and the second for evacuation analysis. The importance of smoke control system, and its rapid activation in case of fire, was highlighted by the results obtained. In situations where this did not occur, there was a significant worsening in the evacuation of the occupants. It was estimated the incapacitation of a significant number of occupants, considering the levels registered for the fractional effective dose. The station’s architectural constraints proved to be a crucial factor in the results of the study. This article highlights important results applicable to subway stations around the world.
- Using drones to estimate and reduce the risk of wildfire propagation in wildland–urban interfacesPublication . Santos, Osvaldo; Santos, NatérciaForest fires have become one of the most destructive natural disasters worldwide, causing catastrophic losses, sometimes with the loss of lives. Therefore, some countries have created legislation to enforce mandatory fuel management within buffer zones in the vicinity of buildings and roads. The purpose of this study is to investigate whether inexpensive off-the-shelf drones equipped with standard RGB cameras could be used to detect the excess of trees and vegetation within those buffer zones. The methodology used in this study was the development and evaluation of a complete system, which uses AI to detect the contours of buildings and the services provided by the CHAMELEON bundles to detect trees and vegetation within buffer zones. The developed AI model is effective at detecting the building contours, with a mAP50 of 0.888. The article analyses the results obtained from two use cases: a road surrounded by dense forest and an isolated building with dense vegetation nearby. The main conclusion of this study is that off-the-shelf drones equipped with standard RGB cameras can be effective at detecting non-compliant vegetation and trees within buffer zones. This can be used to manage biomass within buffer zones, thus helping to reduce the risk of wildfire propagation in wildland–urban interfaces.