Pereira, Mauricio ;
D'Altri, Antonio Maria ;
de Miranda, Stefano ;
Glisic, Branko
(2023)
Dataset of the paper "Automatic multi-leaf nonperiodic block-by-block pattern generation and computational analysis of historical masonry structures".
University of Bologna.
DOI
10.6092/unibo/amsacta/7505.
[Dataset]
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Abstract
This dataset, developed in the framework of the Horizon 2020 HOLAHERIS project, contains code, models and results related to an automatic block-by-block pattern generator for multi-leaf nonperiodic masonries. The generated patterns can be subsequently utilized in the computational analysis of full-scale historical masonry structures employing a block-based approach. Given the 3D volume of the structure and the 3D block definition of a sample, both in terms of voxels, the volume of the structure is automatically filled with blocks by keeping the blocks statistics of the sample, as well as accounting for through-thickness blocks and structural details. Models and structural analysis results (pushover curves) related to a meaningful benchmark, i.e., the Alcaçova wall of the Guimarães castle (Portugal), are also collected herein.
Abstract
This dataset, developed in the framework of the Horizon 2020 HOLAHERIS project, contains code, models and results related to an automatic block-by-block pattern generator for multi-leaf nonperiodic masonries. The generated patterns can be subsequently utilized in the computational analysis of full-scale historical masonry structures employing a block-based approach. Given the 3D volume of the structure and the 3D block definition of a sample, both in terms of voxels, the volume of the structure is automatically filled with blocks by keeping the blocks statistics of the sample, as well as accounting for through-thickness blocks and structural details. Models and structural analysis results (pushover curves) related to a meaningful benchmark, i.e., the Alcaçova wall of the Guimarães castle (Portugal), are also collected herein.
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Dataset
Autori
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
01 Feb 2024 15:44
Ultima modifica
01 Feb 2024 15:44
Risorse collegate
Nome del Progetto
Programma di finanziamento
EC - H2020
URI
Altri metadati
Tipologia del documento
Dataset
Autori
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
01 Feb 2024 15:44
Ultima modifica
01 Feb 2024 15:44
Risorse collegate
Nome del Progetto
Programma di finanziamento
EC - H2020
URI
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