Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/31757
Author(s): Fonseca, T.
Ferreira, J.
Editor: Ajith Abraham
Anu Bajaj
Niketa Gandhi
Ana Maria Madureira
Cengiz Kahraman
Date: 2023
Title: Detection of cracks in building facades using infrared thermography
Book title/volume: Innovations in bio-inspired computing and applications: Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022)
Pages: 264 - 272
Reference: Fonseca, T., & Ferreira, J. (2023). Detection of cracks in building facades using infrared thermography. In A. Abraham, A. Bajaj, N. Gandhi, A. M. Madureira, & C. Kahraman (Eds.). Innovations in bio-inspired computing and applications: Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022) (pp. 264-272). Springer. https://doi.org/10.1007/978-3-031-27499-2_25
ISSN: 2367-3370
ISBN: 978-303127498-5
DOI (Digital Object Identifier): 10.1007/978-3-031-27499-2_25
Keywords: Sensor -- Detector
Data analytics
Transmissão de dados -- Data transmission
Machine learning
Abstract: Cracks in building facades can deteriorate the health of a building, putting in risk the well being of the people who use it or that are in its surroundings. Identifying the cracks and assessing the damage degree of a facade is essential to the maintenance life cycle of a building. Infrared thermography has been playing a major role in identifying cracks and other defects in building facades. The aim of this paper is to develop a simple quantitative model to assess the damage degree of the facades of two public schools managed by Lisbon city council using infrared thermography. It is observed that the measurement of Thermal Contrast profiles of the facades produces effective results in identifying cracks in the facades.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:ISTAR-CRI - Comunicações a conferências internacionais

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