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Title:

µ-XRF K+S map evaluation

Document type:
Forschungsdaten
Publication date:
08.01.2025
Responsible:
Krüger, Miriam
Authors:
Krüger, Miriam E.; Heisig, Anne; Lode, Stefanie; de Weerdt, Klaartje; Machner, Alisa
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1765052
End date of data production:
12.12.2024
Subject area:
BAU Bauingenieurwesen, Vermessungswesen
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Bilder / images ; Tabellen / tables
Other data type:
Phyton script (ipynb format)
Description:
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
Method of data assessment:
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.
Technical remarks:
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/
Language:
en
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