PSI - Issue 64
ScienceDirect Structural Integrity Procedia 00 (2023) 000 – 000 Structural Integrity Procedia 00 (2023) 000 – 000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ
www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia
Procedia Structural Integrity 64 (2024) 335–342
SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Case study: Casa da Câmara de Guimarães. HBIM modeling from non-destructive techniques Yago Cruz a *, Gutier Nuñez a , Manuel Cabaleiro a , Hélder S. Sousa b , Borja Conde a , Daniela Oreni c a CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain b University of Minho, ISISE, ARISE, Department of Civil Engineering, Guimarães, Portugal. c Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133, Milan, Italy Abstract This study focuses on the application of HBIM (Heritage Building Information Modelling) for the comprehensive monitoring of the structural health of the Casa da Câmara de Guimarães, Portugal. To carry out this comprehensive assessment, advanced inspection techniques were employed, including ground-penetrating radar (GPR), thermal imaging, terrestrial laser scanning (TLS), combined with visual inspection. GPR was used to assess wall thickness and detect potential hidden voids within the building, providing detailed information on material integrity and identifying structural anomalies. Thermography was applied to locate beams and areas affected by humidity, offering essential data for corrective interventions and structural strengthening. The combination of TLS and visual inspection enabled the creation of an accurate 3D BIM model. This method provides a detailed virtual representation of the geometry and current condition of the building, facilitating subsequent structural monitoring and allowing the inclusion of particularly useful data for future studies or restorations. This case study highlights the successful implementation of innovative technologies for the preservation and strengthening of architectural heritage. It serves as a model for future research and the practical application of advanced solutions in structural health monitoring. © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers Keywords: Ground Penetrating Radar; Terrestrial Laser Scanning, Heritage-BIM, Thermal Imaging. SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Case study: Casa da Câmara de Guimarães. HBIM modeling from non-destructive techniques Yago Cruz a *, Gutier Nuñez a , Manuel Cabaleiro a , Hélder S. Sousa b , Borja Conde a , Daniela Oreni c a CINTECX, Universidade de Vigo, GeoTECH Group, Campus Universitario de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain b University of Minho, ISISE, ARISE, Department of Civil Engineering, Guimarães, Portugal. c Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133, Milan, Italy Abstract This study focuses on the application of HBIM (Heritage Building Information Modelling) for the comprehensive monitoring of the structural health of the Casa da Câmara de Guimarães, Portugal. To carry out this comprehensive assessment, advanced inspection techniques were employed, including ground-penetrating radar (GPR), thermal imaging, terrestrial laser scanning (TLS), combined with visual inspection. GPR was used to assess wall thickness and detect potential hidden voids within the building, providing detailed information on material integrity and identifying structural anomalies. Thermography was applied to locate beams and areas affected by humidity, offering essential data for corrective interventions and structural strengthening. The combination of TLS and visual inspection enabled the creation of an accurate 3D BIM model. This method provides a detailed virtual representation of the geometry and current condition of the building, facilitating subsequent structural monitoring and allowing the inclusion of particularly useful data for future studies or restorations. This case study highlights the successful implementation of innovative technologies for the preservation and strengthening of architectural heritage. It serves as a model for future research and the practical application of advanced solutions in structural health monitoring. © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers Keywords: Ground Penetrating Radar; Terrestrial Laser Scanning, Heritage-BIM, Thermal Imaging. 1. Introduction Constructions spanning centuries of years can be found all over the world, from ancient times to the present day. © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers 1. Introduction Constructions spanning centuries of years can be found all over the world, from ancient times to the present day.
* Corresponding author. E-mail address: yago.cruz@uvigo.gal * Corresponding author. E-mail address: yago.cruz@uvigo.gal
2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers 2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers
2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers 10.1016/j.prostr.2024.09.259
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