Research Data
Data Publication
Evaluating Self-Healing on Mortars by Coupling Water Permeability Assessments to X-ray Micro-Computed Tomography
Franco Grosso Giordano
Utrecht University
(2024)
Descriptions
This dataset contains 18 reconstructed Micro-computed tomography (µCT) scans. These scans belong to nine samples (50 x 45 mm) and the reconstructed images from these scans represent a 3D volume of cracked lime mortar. Of each sample one scan was taken before (Day 0) and one scan after 28 days (D28) of healing. The data is provided in 2 subfolders. Detailed information about the files in these subfolders as well as information on how the data is processed is given in the explanatory file Readme_excite_cash.txt. Contact person is Franco Grosso Giordano - Franco.GrossoGiordano@UGent.be
Keywords
MSL enriched keywords
Measured property
permeability
Technique
imaging (3D)
computed tomography (CT)
Originally assigned keywords
FOS: Materials engineering
FOS: Civil engineering
Self-healing
micro-computed tomography
Lime-based
Mortar
Material characterization
Metadata
MSL enriched sub domains
rock and melt physics
microscopy and tomography
Resource Type
Source publisher
| Utrecht University |
Creators
| Franco Grosso Giordano |
| Personal |
| https://orcid.org/0000-0001-5606-8934 |
| Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, B-9000 Gent, Belgium | Magnel-Vandepitte Laboratory, Ghent University, Dept. of Structural Engineering and Building Materials, Technologiepark Zwijnaarde 60, B-9052, Ghent, Belgium |
Citation
Grosso Giordano, F. (2024). Evaluating Self-Healing on Mortars by Coupling Water Permeability Assessments to X-ray Micro-Computed Tomography (Version 1.0) [Dataset]. Utrecht University. https://doi.org/10.24416/UU01-MSBPLS
Dates
| Issued | 2024-05-06T16:20:02 |
| Updated | 2024-07-12T11:12:34 |
| Collected | 2022-07-14/2022-08-11 |
Language
en
Funding References
| Funder Name | Horizon 2020 research and innovation programme under Marie Sklodowska-Curie |
| Funder Name | Horizon 2020 research and innovation programme |
| Funder Name | Ghent University Special Research Fund (BOF-UGent) |
Rights
| Name | Open - freely retrievable |
| URI | info:eu-repo/semantics/openAccess |
| Name | Creative Commons Attribution 4.0 International |
| URI | https://creativecommons.org/licenses/by/4.0/legalcode |
| Identifier | cc-by-4.0 |
| Identifier Scheme | SPDX |
| Scheme URI | https://spdx.org/licenses/ |
Locations
Geo location(s)
Center for X-ray Tomography, Ghent, Belgium