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Seismic Analysis of Slender Monumental Structures: Current Strategies and Challenges

Academic Article
Publication Date:
2022
abstract:
The preservation and seismic risk mitigation of built cultural heritage is considered today as a major priority in the international political agenda. Among the great variety of heritage structures spread worldwide, masonry towers belong to one of the most vulnerable categories against earthquake actions due to their morphological and material singularity. The proper understanding of the structural behavior of these artefacts at the micro, meso and macro scales, combined with a thorough knowledge of the best analysis practices deriving from the shared experience of the scientific community working in this field, is a fundamental prerequisite to appropriately address their seismic assessment. In this context, the present work offers an extensive discussion on the major challenges that slender monumental towers pose in terms of characterization of their actual behavior under seismic actions. A critical appraisal of the principal analysis methods applicable to the study of these structures is also presented along with a brief review of the existing modelling strategies for their numerical representation. Relevant examples are discussed in support of each argument. In spite of being a relatively young discipline, earthquake engineering has made remarkable progress in the last years and appropriate modi operandi have been consolidating to tackle the seismic assessment of unconventional systems, such as slender heritage structures. The work is conceived in a format of interest for both practitioners and researchers approaching the seismic assessment of this type of structures, and for those in need of an overall practical review of the topic.
Iris type:
1.1 Articolo in rivista
Keywords:
historic towers; dynamics of slender structures; masonry failure mechanisms; masonry modelling; structural analysis methods; seismic assessment
List of contributors:
Masciotta, Mg; Lourenco, Pb
Authors of the University:
MASCIOTTA MARIA GIOVANNA
Handle:
https://ricerca.unich.it/handle/11564/799591
Full Text:
https://ricerca.unich.it//retrieve/handle/11564/799591/357386/applsci-12-07340-v2.pdf
Published in:
APPLIED SCIENCES
Journal
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URL

https://www.mdpi.com/2076-3417/12/14/7340
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