PSI - Issue 64

Yago Cruz et al. / Procedia Structural Integrity 64 (2024) 732–739 Yago Cruz / Structural Integrity Procedia 00 (2019) 000 – 000

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4. Conclusions This work proposes the study of structural health monitoring and BIM modeling of concrete structures, offering a methodology to monitor their evolution and plan the necessary maintenance over time. The use of BIM technology in concrete structures allows the collection of structural health analysis information within the model in a visual and easily accesible way. Defects and test points can be located in the model, as well as observing the layout of the bars located with the pachometer. The linking of all information to the model allows a detailed analysis of the structure. This methodology uses the same model as a starting point for a new structural health analysis and thus observe the evolution of the structure in different phases of its life cycle. Once the analyses have been performed and the BIM modeling has been completed, the current state of the structure is analyzed. In this case study, no major structural damage is observed. There is an abundance of exposed bars and the presence of lichens that rather affect the aesthetic part of the staircase, but not the load-bearing part. The ultrasonic and sclerometer tests set the basis for a future correlation study of the rebound index and wave propagation velocity with the compressive strength of the concrete. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work has been supported by the Spanish Ministry of Science and Innovation through the project grant PDC2022-133517-I00. References Ávila, J. H., Wilches, F. J., & Avila, R. H. (2020). Determination of a non-linear regression model, to describe the relationship between the resistance measured with the concrete cylinder compression machine and a digital sclerometer. International Journal of Engineering Research and Technology , 13 (10). https://doi.org/10.37624/IJERT/13.10.2020.2557-2561 Bouzas, Ó., Cabaleiro, M., Conde, B., Cruz, Y., & Riveiro, B. (2022). Structural health control of historical steel structures using HBIM. Automation in Construction , 140 . https://doi.org/10.1016/j.autcon.2022.104308 De Domenico, D., Messina, D., & Recupero, A. (2022). Quality control and safety assessment of prestressed concrete bridge decks through combined field tests and numerical simulation. Structures , 39 . https://doi.org/10.1016/j.istruc.2022.03.086 Masi, F., Stefanou, I., & Vannucci, P. (2018). On the origin of the cracks in the dome of the Pantheon in Rome. Engineering Failure Analysis , 92 . https://doi.org/10.1016/j.engfailanal.2018.06.013 Mata, R., Ruiz, R. O., & Nuñez, E. (2023). Correlation between compressive strength of concrete and ultrasonic pulse velocity: A case of study and a new correlation method. Construction and Building Materials , 369 . https://doi.org/10.1016/j.conbuildmat.2023.130569 Mizoguchi, T., Koda, Y., Iwaki, I., Wakabayashi, H., Kobayashi, Y., Shirai, K., Hara, Y., & Lee, H. S. (2013). Quantitative scaling evaluation of concrete structures based on terrestrial laser scanning. Automation in Construction , 35 . https://doi.org/10.1016/j.autcon.2013.05.022 Mol, A., Cabaleiro, M., Sousa, H. S., & Branco, J. M. (2020). HBIM for storing life-cycle data regarding decay and damage in existing timber structures. Automation in Construction , 117 . https://doi.org/10.1016/j.autcon.2020.103262 Santos, D., Cabaleiro, M., Sousa, H. S., & Branco, J. M. (2022). Apparent and resistant section parametric modelling of timber structures in HBIM. Journal of Building Engineering , 49 . https://doi.org/10.1016/j.jobe.2022.103990 Silva, D. A., Wenk, H. R., & Monteiro, P. J. M. (2005). Comparative investigation of mortars from Roman Colosseum and cistern. Thermochimica Acta , 438 (1 – 2). https://doi.org/10.1016/j.tca.2005.03.003 Xiong, X., Adan, A., Akinci, B., & Huber, D. (2013). Automatic creation of semantically rich 3D building models from laser scanner data. Automation in Construction , 31 . https://doi.org/10.1016/j.autcon.2012.10.006