Fire can cause damage in structures. The level of damage depends on several factors, such as maximal temperature, duration of fire, constituents of the concrete and so on. It is necessary to design fire-resistant buildings and deal with possible reconstruction after fire. For the reconstruction, it is important to determine the level of damage and the necessary steps to take following the fire. This study investigates the possibilities and limitations of non-destructive test methods for fire-affected concrete structures by computed tomography (CT). For demonstration of the applicability of CT measurements, two cases are presented: (a) a 2 h fire test of a tunnel element and (b) a 1:1 scale fire test of a reinforced concrete building. CT analyses were carried out on samples. Considerable reduction of porosity was observed towards the concrete surface that was subjected to fire. The results of CT analyses agree well with the human observations of changing colours from gray to pink.
ABSTRACT:Computer tomography (CT) is an excellent technique for obtaining accurate 3D information about the human body. It allows to visualize the organs, bones and blood vessels, furthermore it enables to diagnose anomalies and diseases. Its spatial reconstruction capability supports other interesting applications, such as inspecting different, even valuable objects like ancient sculptures. Current paper presents a methodology of evaluating CT and video imagery through the example of investigating a wood Madonna with infant Jesus sculpture from the 14 th century. The developed techniques extract the outer boundary of the statue, which has been triangulated to derive the surface model. The interior of the sculpture has also been revealed: the iron bolts and rivets as well as the woodworm holes can be mapped. By merging the interior and outer data (geometry and texture) interesting visualizations (perspective views, sections etc.) have been created.
kAPITáNy kriStóf § Budapesti műszaki és Gazdaságtudományi egyetem, Fotogrammetria és térinformatika tanszék BARSI árpád § Budapesti műszaki és Gazdaságtudományi egyetem, Fotogrammetria és térinformatika tanszék
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.