The seismic sequence of 2016–2017 in Central Italy: a numerical insight on the survival of the Civic Tower in Amatrice

  • A. Jain
  • M. Acito
  • C. ChesiEmail author
  • E. Magrinelli
Original Research


This work is aimed at the numerical interpretation of the evolution of damage and collapses observed on the Civic Tower of Amatrice, caused by the main events of the seismic sequence of 2016 in the Apennine area of Central Italy. In particular, the study considers the response of the tower with reference to the two main events, occurred on August 24th and October 30th, 2016 respectively. Non-linear dynamic analyses were carried out by developing a finite element model and the behaviour of the tower was investigated with reference to the damage and partial collapses produced by the main events. In dynamic numerical analyses, the accelerograms corresponding to the main seismic events obtained with the study of the site effects were used as seismic input. Moreover, studies have been carried out to understand if and which of the interventions of reinforcement/seismic improvement, realized at the beginning of the years ‘80, have been determinant to limit the damage, avoiding the complete collapse of the tower. The results of the study, on the one hand, allow to highlight a good correspondence between the evolution of the actual damage observed on the tower and the damage assessed by numerical analyses thus demonstrating the validity of the numerical models set up for the analyses. On the other hand, however, they have made it possible to underline how the presence of the improved material and structural reinforcement interventions carried out at the beginning of the years ‘80 have contributed to avoid the complete collapse of the tower.


Masonry Tower Seismic sequence Finite element modelling Nonlinear dynamic simulations Rehabilitation interventions ABAQUS Civic Tower Amatrice Italy 



The study of the local amplification of ground motion was carried out with the collaboration of Dr. Floriana Pergalani and Dr. Massimo Compagnoni, Politecnico di Milano, also with the support of Dr. Alberto Tento, INGV. We acknowledge the CINECA award under the ISCRA initiative, for the availability of high-performance computing resources and support.


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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Politecnico di MilanoMilanItaly

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