Digital repository of Slovenian research organisations

Search the repository
A+ | A- | Help | SLO | ENG

Query: search in
search in
search in
search in

Options:
  Reset


Query: "keywords" (električni uporovni senzor) .

1 - 1 / 1
First pagePrevious page1Next pageLast page
1.
Dataset for the research article “Characterization of steel corrosion in alkali-activated mortars using advanced techniques”
Nina Gartner, Miha Hren, Tadeja Kosec, Andraž Legat, Mojca Mušič, 2025, complete scientific database of research data

Abstract: This dataset supports the investigation of long-term corrosion behaviour of steel in alkali-activated mortars (AAMs), a promising alternative to ordinary Portland cement (OPC). It contains experimental data collected over a one-year exposure period in which steel-reinforced AAMs were subjected to cyclic wetting and drying with a chloride-containing solution. The dataset includes results from three AAM compositions based on fly ash, slag, and metakaolin. Corrosion monitoring was performed using two advanced techniques: coupled multi-electrode array (CMEA) sensors for measuring partial currents, and electrical resistance (ER) sensors for quantifying steel cross-section loss. Additionally, the dataset contains imaging data from X-ray computed microtomography (microCT), as well as photographs of the steel reinforcement after exposure. This comprehensive dataset provides the foundation for the research paper Characterization of steel corrosion in alkali-activated mortars using advanced techniques (https://doi.org/10.1016/j.cscm.2025.e05165) and enables further studies on corrosion processes in AAMs, supporting the development of advanced monitoring approaches for alternative cementitious materials.
Keywords: korozija, alkalijsko-aktivirani materiali, mreža sklopljenih elektrod, električni uporovni senzor, rentgenska računalniška mikrotomografija, vizualna analiza
Published in DiRROS: 09.06.2025; Views: 542; Downloads: 504
.jpg Full text (1,24 MB)
This document has many files! More...

Search done in 0.03 sec.
Back to top