Lo Presti, Nicolò ;
D'Altri, Antonio Maria ;
Patruno, Luca ;
Castellazzi, Giovanni ;
Derluyn, Hannelore ;
de Miranda, Stefano
(2025)
Dataset of the paper "Multiscale simulation of salt crystallization-induced damage in porous materials".
University of Bologna.
DOI
10.6092/unibo/amsacta/8409.
[Dataset]
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Abstract
This dataset, developed in the framework of the H2020 HOLAHERIS project, contains data related to a multiscale modelling strategy to simulate salt crystallization-induced damage in porous materials. The method uses (i) a state-of-the-art multiphase model for the transport/crystallization simulation. In addition, (ii) salt crystallization pressure exerted on pore walls is directly modelled on a nonlinear representative volume element (RVE) at the microscale of the porous medium. Finally, (iii) an original phenomenological damage model, trained on a dataset generated through micromechanics-based simulations on RVEs, is developed to guarantee efficiency to the proposed approach, whose effectiveness is shown via the comparison with an experimental campaign on salt-aged traditional Dutch tiles. The micromechanics-based simulation results on RVEs used to train the phenomenological model, as well as the phenomenological model, are collected herein to provide data for future comparisons.
Abstract
This dataset, developed in the framework of the H2020 HOLAHERIS project, contains data related to a multiscale modelling strategy to simulate salt crystallization-induced damage in porous materials. The method uses (i) a state-of-the-art multiphase model for the transport/crystallization simulation. In addition, (ii) salt crystallization pressure exerted on pore walls is directly modelled on a nonlinear representative volume element (RVE) at the microscale of the porous medium. Finally, (iii) an original phenomenological damage model, trained on a dataset generated through micromechanics-based simulations on RVEs, is developed to guarantee efficiency to the proposed approach, whose effectiveness is shown via the comparison with an experimental campaign on salt-aged traditional Dutch tiles. The micromechanics-based simulation results on RVEs used to train the phenomenological model, as well as the phenomenological model, are collected herein to provide data for future comparisons.
Document type
Dataset
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DOI
Contributors
Deposit date
04 Aug 2025 09:54
Last modified
04 Aug 2025 09:54
Related identifier
Project name
Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
04 Aug 2025 09:54
Last modified
04 Aug 2025 09:54
Related identifier
Project name
Funding program
EC - H2020
URI
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