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Performance of precast buildings during Emilia-Romagna earthquakes: a case study

Performance of precast buildings during Emilia-Romagna earthquakes: a case study

Ercolino, Marianna ORCID: 0000-0001-8678-0631, Magliulo, Gennaro and Manfredi, Gaetano (2015) Performance of precast buildings during Emilia-Romagna earthquakes: a case study. In: OpenSees Days Italia. Giorgio Monti (ed.), pp. 11-18.

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On May 2012 two earthquakes occurred in Emilia-Romagna region (Italy) causing several damages to existing industrial precast structures. These damages were mainly due to inadequate connection systems and the main recorded failures were the loss of support of structural elements due to the sliding of friction connections. This paper aims at justifying some of these damages by investigating the response of a real industrial building, located in Mirandola (Modena, Italy) and seriously damaged after the second main shock. In this structure the main damages were significant rotations at the columns base and relative displacements in both beam-to-column and roof-to-beam connections. Nonlinear dynamic analyses are performed in the OpenSees program with the accelerograms of the second event and the experienced damage in the structure is justified. The defined frictional element is able to simulate the behavior of both beam-to-column and roof-to-beam connections. Moreover, the nonlinear dynamic analyses demonstrate the damage in the precast columns.

Item Type: Conference Proceedings
Title of Proceedings: OpenSees Days Italia
Additional Information: Conference held at campus of the University of Salerno, Fisciano, 10-11 June 2015
Uncontrolled Keywords: precast structure, friction modeling, earthquakes, nonlinear analyses
Subjects: T Technology > TH Building construction
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
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Last Modified: 22 Oct 2020 16:07
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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