Abstract
Past earthquakes brought attention to the poor performance of precast reinforced concrete structures. One of the problems observed in those structures is related to the beam-to-column connections. The evaluation of different methodologies for the analysis of beam-to-column connections in industrial buildings is an important aspect that should be studied. The numerical analyses developed allowed the study of the effect that different connection properties have on the frequencies of vibration, members drifts, and seismic coefficients. The connection properties were modeled through a macro-element that considers the friction (between concrete–concrete and concrete–neoprene) and the steel dowels. The results showed that the friction between concrete elements and the consideration of the neoprene in the connection has a small impact on the drifts demands in the columns and seismic coefficient of the analyzed structure; on the other hand, the effect of the steel dowel on the drift demand and seismic coefficient is significant. The comparison of the models with different properties and connections allowed a better understanding of the factors with a higher impact on the results.
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Acknowledgments
This work was financially supported by Project POCI-01-0145-FEDER-028439—“SeismisPRECAST Seismic performance ASSessment of existing Precast Industrial buildings and development of Innovative Retrofitting sustainable solutions” funded by FEDER funds through COMPETE2020—Programa Operacional Competitividade e Internacionalização (POCI) and by national funds (PIDDAC) through FCT/MCTES. The second author acknowledged to FCT—Fundação para a Ciência e a Tecnologia namely through the PhD grant with reference SFRH/BD/139723/2018.
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Vitorino, H., Batalha, N., Sousa, R., Fernandes, P., Varum, H., Rodrigues, H. (2021). Assessment of Seismic Behavior of an RC Precast Building. In: Rodrigues, H., Gaspar, F., Fernandes, P., Mateus, A. (eds) Sustainability and Automation in Smart Constructions. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-35533-3_36
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DOI: https://doi.org/10.1007/978-3-030-35533-3_36
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