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- Titel:
µ-XRF K+S map evaluation
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 08.01.2025
- Verantwortlich:
- Krüger, Miriam
- Autorinnen / Autoren:
- Krüger, Miriam E.; Heisig, Anne; Lode, Stefanie; de Weerdt, Klaartje; Machner, Alisa
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2024mp1765052
- Enddatum der Datenerzeugung:
- 12.12.2024
- Fachgebiet:
- BAU Bauingenieurwesen, Vermessungswesen
- Quellen der Daten:
- Experimente und Beobachtungen / experiments and observations
- Datentyp:
- Bilder / images ; Tabellen / tables
- Anderer Datentyp:
- Phyton script (ipynb format)
- Methode der Datenerhebung:
- The data was assessed by generating K+S maps using µ-XRF for five different concretes, followed by quantitative analysis using a Python script to determine the pixel distribution for aggregates, paste, and ASR gel. The results were further processed using an Excel sheet to calculate the amount of ASR gel in each sample and evaluate its alkali uptake.
- Beschreibung:
- The dataset includes K+S maps of five different concretes generated using µ-XRF, along with a Python script used to quantify the pixel distribution for aggregates (black), paste (yellow), and ASR gel (pink). Additionally, an Excel sheet is provided to calculate the amount of ASR gel in each concrete sample and its corresponding alkali uptake.
The dataset is related to the publication 10.3390/buildings15020218 - Technische Hinweise:
- View and download (1,1 MB total, 8 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1765052):
rsync rsync://m1765052@dataserv.ub.tum.de/m1765052/ - Sprache:
- en
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