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Erschienen in: Journal of Nondestructive Evaluation 2/2019

01.06.2019

A Procedure for the Structural Identification of Masonry Towers

verfasst von: Milorad Pavlovic, Sebastiano Trevisani, Antonella Cecchi

Erschienen in: Journal of Nondestructive Evaluation | Ausgabe 2/2019

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Abstract

Historic masonry towers, as well as bell towers, minarets and chimneys, represent an important part of the Mediterranean basin architectural heritage. Widely spread out on the Italian peninsula, the bell towers reflect cultural, social and religious aspects of the communities, thus, their conservation remains an open challenge for scientists, governments and local communities. The seismic behavior of slender masonry structures is, generally, characterized by the combination, of the static vertical loads with dynamic loading. However, the determination of the structural behavior of masonry structures is always a complex challenge due to the material inhomogeneity, manufacturing imperfections, geometric configuration or structural interaction between the layers in the case multi-leaf masonry structures. In this research, an expeditious and low-cost procedure for the structural identification of historic masonry towers is proposed. The procedure, based on experimental measurements and numerical modeling, aims at the estimation of the average mechanical characteristics under service loads. In particular, the procedure proposes the acquisition of the fundamental frequency by means of a single compact digital tromograph and successive finite element model calibration starting from the experimental data. The whole identification procedure has been at first verified on an elementary laboratory specimen, then applied on the historic bell tower of Basilica dei Frari located in the historic city center of Venice.

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Metadaten
Titel
A Procedure for the Structural Identification of Masonry Towers
verfasst von
Milorad Pavlovic
Sebastiano Trevisani
Antonella Cecchi
Publikationsdatum
01.06.2019
Verlag
Springer US
Erschienen in
Journal of Nondestructive Evaluation / Ausgabe 2/2019
Print ISSN: 0195-9298
Elektronische ISSN: 1573-4862
DOI
https://doi.org/10.1007/s10921-019-0575-8

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