Szabó, Simon ;
Funari, Marco Francesco ;
D'Altri, Antonio Maria ;
de Miranda, Stefano ;
Lourenço, Paulo B.
(2025)
Dataset of the paper "An optimised multi-level method for the pushover analysis of historic masonry structures accounting for the actual masonry pattern".
University of Bologna.
DOI
10.6092/unibo/amsacta/8407.
[Dataset]
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Abstract
This dataset, developed in the framework of the H2020 HOLAHERIS project, contains results data related to an optimised multi-level method to account for the actual masonry pattern in the pushover analysis of historic masonry structures. The method uses (i) a rigid block-based limit analysis to identify realistic failure mechanisms accounting for the actual masonry pattern. Then, (ii) macro-blocks outlining the failure mechanism are identified based on a heuristic search. Finally, (iii) macro-blocks are modelled as homogeneous material interacting via cohesive-frictional interfaces in a finite element environment where base shear-displacement curves can be extracted by means of pushover analyses. Base shear-displacement curves obtained with this optimised multi-level method on five structural benchmarks, as well as the finite element models, are collected herein to provide data for future comparisons.
Abstract
This dataset, developed in the framework of the H2020 HOLAHERIS project, contains results data related to an optimised multi-level method to account for the actual masonry pattern in the pushover analysis of historic masonry structures. The method uses (i) a rigid block-based limit analysis to identify realistic failure mechanisms accounting for the actual masonry pattern. Then, (ii) macro-blocks outlining the failure mechanism are identified based on a heuristic search. Finally, (iii) macro-blocks are modelled as homogeneous material interacting via cohesive-frictional interfaces in a finite element environment where base shear-displacement curves can be extracted by means of pushover analyses. Base shear-displacement curves obtained with this optimised multi-level method on five structural benchmarks, as well as the finite element models, are collected herein to provide data for future comparisons.
Document type
Dataset
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DOI
Contributors
Deposit date
02 Jul 2025 10:40
Last modified
02 Jul 2025 10:40
Related identifier
Project name
Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
02 Jul 2025 10:40
Last modified
02 Jul 2025 10:40
Related identifier
Project name
Funding program
EC - H2020
URI
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