This study aims at investigating the causes of damage and collapse of several residential masonry structures during the devastating seismic sequence that hit Central Italy in 2016. After analyzing the structural features of affected buildings, an extensive series of numerical analyses is performed for a sample two-story masonry building to better understand its seismic vulnerability and suggest valuable hints for the reconstruction of historical city centers. Each analysis is carried out by adopting realistic hypotheses concerning material properties, connection among multi-leaf walls, different roofing systems (e.g., use of RC slabs at the top of the buildings), and the presence of rigid or flexible floors. Numerical analyses consist of modal and non-linear dynamic analyses, the latter using input accelerograms recorded during the main shocks of 2016 by the permanent accelerometric station of Amatrice (one of the most affected municipalities). For non-linear dynamic analyses, an elasto-plastic constitutive law with reasonable damage parameters in tension is adopted. Numerical results highlight good correspondence with observed behavior of residential low-rise buildings after the main seismic events in Amatrice, demonstrating the validity of the numerical approach. Moreover, the poor quality of the constitutive masonry material and the insufficient rigidity of floors and roofing systems are identified as the main causes of seismic vulnerability and, consequently, of collapse mechanisms. It is found that high quality masonry and well-connected walls play a crucial role in limiting damage formation and reducing global seismic vulnerability.

Seismic vulnerability of masonry buildings: Numerical insight on damage causes for residential buildings by the 2016 central Italy seismic sequence and evaluation of strengthening techniques

Acito M.;Milani G.;Tiberti S.
2020-01-01

Abstract

This study aims at investigating the causes of damage and collapse of several residential masonry structures during the devastating seismic sequence that hit Central Italy in 2016. After analyzing the structural features of affected buildings, an extensive series of numerical analyses is performed for a sample two-story masonry building to better understand its seismic vulnerability and suggest valuable hints for the reconstruction of historical city centers. Each analysis is carried out by adopting realistic hypotheses concerning material properties, connection among multi-leaf walls, different roofing systems (e.g., use of RC slabs at the top of the buildings), and the presence of rigid or flexible floors. Numerical analyses consist of modal and non-linear dynamic analyses, the latter using input accelerograms recorded during the main shocks of 2016 by the permanent accelerometric station of Amatrice (one of the most affected municipalities). For non-linear dynamic analyses, an elasto-plastic constitutive law with reasonable damage parameters in tension is adopted. Numerical results highlight good correspondence with observed behavior of residential low-rise buildings after the main seismic events in Amatrice, demonstrating the validity of the numerical approach. Moreover, the poor quality of the constitutive masonry material and the insufficient rigidity of floors and roofing systems are identified as the main causes of seismic vulnerability and, consequently, of collapse mechanisms. It is found that high quality masonry and well-connected walls play a crucial role in limiting damage formation and reducing global seismic vulnerability.
2020
2016 central Italy sequence; 3D finite elements; Masonry buildings; Non-linear dynamic analysis; Seismic vulnerability
File in questo prodotto:
File Dimensione Formato  
JBE- (2020) - Seismic-vulnerability-of-masonry-buildings-Numerical-insight-on-damage-causes-for-residential-buildings-by-the-2016-central-Italy-seismic-sequen.pdf

Accesso riservato

Descrizione: Articolo
: Publisher’s version
Dimensione 11.16 MB
Formato Adobe PDF
11.16 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1125205
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 20
social impact