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Force-based seismic evaluation of retrofitting interventions of historic masonry castles by 3D rigid block limit analysis

Academic Article
Publication Date:
2020
abstract:
This paper deals with the force-based assessment of collapse mechanisms and strengthening interventions of the historic masonry castle "Bussi sul Tirino" (Abruzzi, Italy) using rigid block limit analysis (RBLA). The structure, which is a fortified palace dating back to the 11th century, has experienced severe earthquakes over the centuries and was hit once again in 2009 by the L'Aquila earthquake. Based on the historical analysis and the results of in situ investigations, a spatial rigid block model of an entire structural unit was generated using the in-house software LiABlock_3D. The software is a MATLABĀ® based tool for three-dimensional RBLA, which provides as outputs collapse failure modes and collapse load multipliers. In addition, a specific routine was developed for the purpose of the study to compute the participating mass ratio and the spectral acceleration that activated the failure mechanisms. The results of the numerical analysis were used to address three different retrofitting interventions, based on the use of connection elements and ties that, according to the minimum intervention principle, progressively enhanced the seismic capacity. Comparisons in terms of seismic safety indices are finally provided in order to give a quantitative measure of the effectiveness of the adopted retrofitting strategies.
Iris type:
1.1 Articolo in rivista
Keywords:
Castles; Cultural heritage; Discrete model; Fortified palace; LiABlock_3D; Limit equilibrium analysis; Masonry structures; Rigid blocks; Seismic vulnerability
List of contributors:
Cascini, Lucrezia; Brando, Giuseppe; Portioli Francesco, P. A.; Forgione Morena, Rita; Mazzanti, Claudio; Vasta, Marcello
Authors of the University:
BRANDO GIUSEPPE
VASTA Marcello
Handle:
https://ricerca.unich.it/handle/11564/730929
Full Text:
https://ricerca.unich.it//retrieve/handle/11564/730929/222047/applsci-10-05035-v2.pdf
Published in:
APPLIED SCIENCES
Journal
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URL

https://www.mdpi.com/2076-3417/10/15/5035
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