Cargando…
Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material
This study aims to develop a material-saving performance prediction model for fast-hardening alkali-activated slag/silica fume blended pastes. The hydration process in the early stage and the microstructural properties after 24 h were analyzed using design of experiments (DoE). The experimental resu...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10254441/ https://www.ncbi.nlm.nih.gov/pubmed/37297238 http://dx.doi.org/10.3390/ma16114104 |
_version_ | 1785056644338548736 |
---|---|
author | Schade, Tim Middendorf, Bernhard |
author_facet | Schade, Tim Middendorf, Bernhard |
author_sort | Schade, Tim |
collection | PubMed |
description | This study aims to develop a material-saving performance prediction model for fast-hardening alkali-activated slag/silica fume blended pastes. The hydration process in the early stage and the microstructural properties after 24 h were analyzed using design of experiments (DoE). The experimental results show that the curing time and the FTIR wavenumber of the Si-O-T (T = Al, Si) bond in the band range of 900–1000 cm(−1) after 24 h can be predicted accurately. In detailed investigations, low wavenumbers from FTIR analysis were found to correlate with reduced shrinkage. The activator exerts a quadratic and not a silica modulus-related conditioned linear influence on the performance properties. Consequently, the prediction model based on FTIR measurements proved to be suitable in evaluation tests for predicting the material properties of those binders in the building chemistry sector. |
format | Online Article Text |
id | pubmed-10254441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102544412023-06-10 Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material Schade, Tim Middendorf, Bernhard Materials (Basel) Article This study aims to develop a material-saving performance prediction model for fast-hardening alkali-activated slag/silica fume blended pastes. The hydration process in the early stage and the microstructural properties after 24 h were analyzed using design of experiments (DoE). The experimental results show that the curing time and the FTIR wavenumber of the Si-O-T (T = Al, Si) bond in the band range of 900–1000 cm(−1) after 24 h can be predicted accurately. In detailed investigations, low wavenumbers from FTIR analysis were found to correlate with reduced shrinkage. The activator exerts a quadratic and not a silica modulus-related conditioned linear influence on the performance properties. Consequently, the prediction model based on FTIR measurements proved to be suitable in evaluation tests for predicting the material properties of those binders in the building chemistry sector. MDPI 2023-05-31 /pmc/articles/PMC10254441/ /pubmed/37297238 http://dx.doi.org/10.3390/ma16114104 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schade, Tim Middendorf, Bernhard Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material |
title | Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material |
title_full | Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material |
title_fullStr | Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material |
title_full_unstemmed | Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material |
title_short | Prediction Model Based on DoE and FTIR Data to Control Fast Setting and Early Shrinkage of Alkaline-Activated Slag/Silica Fume Blended Cementitious Material |
title_sort | prediction model based on doe and ftir data to control fast setting and early shrinkage of alkaline-activated slag/silica fume blended cementitious material |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10254441/ https://www.ncbi.nlm.nih.gov/pubmed/37297238 http://dx.doi.org/10.3390/ma16114104 |
work_keys_str_mv | AT schadetim predictionmodelbasedondoeandftirdatatocontrolfastsettingandearlyshrinkageofalkalineactivatedslagsilicafumeblendedcementitiousmaterial AT middendorfbernhard predictionmodelbasedondoeandftirdatatocontrolfastsettingandearlyshrinkageofalkalineactivatedslagsilicafumeblendedcementitiousmaterial |