D'Altri, Antonio Maria ;
de Miranda, Stefano ;
Castellazzi, Giovanni ;
Glisic, Branko
(2023)
Dataset of the paper "Numerical modelling-based damage diagnostics in cultural heritage structures".
University of Bologna.
DOI
10.6092/unibo/amsacta/7506.
[Dataset]
Full text available as:
Abstract
This dataset, developed as part of the Horizon 2020 HOLAHERIS project, contains data, models and results related to a numerical modelling-based damage diagnostics methodology for cultural heritage structures. A 3D documentation data integration is developed to swiftly generate numerical models of heritage structures using point clouds and virtual tours. This approach enables the utilization of incomplete point cloud data, such as those limited to outer surfaces, for generating solid finite element models. Any missing information is supplemented using interactive and immersive frameworks off-site. Subsequently, various nonlinear static and dynamic analyses are conducted on the solid model to assess different load scenarios (e.g., earthquakes, soil settlements) employing a nonlinear continuum constitutive law. Additionally, a crack pattern matching indicator is introduced to quantitatively identify the probable load scenario responsible for the observed damage pattern in the heritage structure by comparing numerical and actual crack patterns. This methodology facilitates the rapid generation and extraction of numerical models reflecting the current damaged state of the structure and identifies vulnerable areas susceptible to further damage. Models and structural analysis results (pushover curves) related to a meaningful benchmark, i.e., Morris Island lighthouse in South Carolina (USA), are also collected herein.
Abstract
This dataset, developed as part of the Horizon 2020 HOLAHERIS project, contains data, models and results related to a numerical modelling-based damage diagnostics methodology for cultural heritage structures. A 3D documentation data integration is developed to swiftly generate numerical models of heritage structures using point clouds and virtual tours. This approach enables the utilization of incomplete point cloud data, such as those limited to outer surfaces, for generating solid finite element models. Any missing information is supplemented using interactive and immersive frameworks off-site. Subsequently, various nonlinear static and dynamic analyses are conducted on the solid model to assess different load scenarios (e.g., earthquakes, soil settlements) employing a nonlinear continuum constitutive law. Additionally, a crack pattern matching indicator is introduced to quantitatively identify the probable load scenario responsible for the observed damage pattern in the heritage structure by comparing numerical and actual crack patterns. This methodology facilitates the rapid generation and extraction of numerical models reflecting the current damaged state of the structure and identifies vulnerable areas susceptible to further damage. Models and structural analysis results (pushover curves) related to a meaningful benchmark, i.e., Morris Island lighthouse in South Carolina (USA), are also collected herein.
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
02 Feb 2024 17:03
Last modified
06 Feb 2024 09:09
Related identifier
Project name
Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
02 Feb 2024 17:03
Last modified
06 Feb 2024 09:09
Related identifier
Project name
Funding program
EC - H2020
URI
Downloads
Downloads
Staff only: