Masonry towers constitute a significant part of the European built heritage that, due to their intrinsic geometric slenderness, result particularly vulnerable to horizontal loads. Their seismic assessment requires a numerical model able to reproduce the material nonlinear behavior and to account for the different sources of uncertainties. Among the uncertainties which may affect the reliability of the results, it is possible to list: (i) the building history, its evolution and the structural details, (ii) the masonry construction technique and the material properties and (iii) the boundary condition since in several cases towers are embedded in other buildings (such as churches bell-towers). This paper, to assess the seismic risk of historic masonry towers, investigates the reliability of a probabilistic approach aimed to include some of the sources of uncertainty above mentioned. The employed probabilistic framework was originally introduced in 1991 by Gusella, and it is here discussed by analyzing a representative case study: an historic masonry tower in San Gimignano (Italy). In a first part of the paper the results of ambient vibration tests are employed to tune a numerical model of the tower. The identified numerical model is subsequently employed to perform the non-linear time history analyses that are needed to express the seismic risk of the tower in terms of collapse probability.

Non-linear Dynamic Analysis for Collapse Probability Assessment of Historic Masonry Towers / Facchini, Luca; Gusella, Vittorio; Betti, Michele. - STAMPA. - (2020), pp. 1376-1386. (Intervento presentato al convegno XXIV Congresso Nazionale AIMETA di Meccanica Teorica e Applicata tenutosi a Roma nel 15-19 Settembre, 2019) [10.1007/978-3-030-41057-5_111].

Non-linear Dynamic Analysis for Collapse Probability Assessment of Historic Masonry Towers

Facchini, Luca;Betti, Michele
2020

Abstract

Masonry towers constitute a significant part of the European built heritage that, due to their intrinsic geometric slenderness, result particularly vulnerable to horizontal loads. Their seismic assessment requires a numerical model able to reproduce the material nonlinear behavior and to account for the different sources of uncertainties. Among the uncertainties which may affect the reliability of the results, it is possible to list: (i) the building history, its evolution and the structural details, (ii) the masonry construction technique and the material properties and (iii) the boundary condition since in several cases towers are embedded in other buildings (such as churches bell-towers). This paper, to assess the seismic risk of historic masonry towers, investigates the reliability of a probabilistic approach aimed to include some of the sources of uncertainty above mentioned. The employed probabilistic framework was originally introduced in 1991 by Gusella, and it is here discussed by analyzing a representative case study: an historic masonry tower in San Gimignano (Italy). In a first part of the paper the results of ambient vibration tests are employed to tune a numerical model of the tower. The identified numerical model is subsequently employed to perform the non-linear time history analyses that are needed to express the seismic risk of the tower in terms of collapse probability.
2020
Proceedings of XXIV AIMETA Conference 2019
XXIV Congresso Nazionale AIMETA di Meccanica Teorica e Applicata
Roma
15-19 Settembre, 2019
Facchini, Luca; Gusella, Vittorio; Betti, Michele
File in questo prodotto:
File Dimensione Formato  
2019 AIMETA - Non-linear Dynamic Analysis for Collapse Probability Assessment of Masonry Towers.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Solo lettura
Dimensione 2.58 MB
Formato Adobe PDF
2.58 MB Adobe PDF   Richiedi una copia

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

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1189147
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact