Ausgewählte reaktionskinetische Daten von Gesteinskörnungen im alkalischen Milieu als mögliche Grundlagen zur Vorhersage der Alkaliempfindlichkeit

Publikationstyp
Doctoral Thesis
Date Issued
2025
Sprache
German
Author(s)
Hartmut, Gyde  orcid-logo
Advisor
Schmidt-Döhl, Frank  orcid-logo
Referee
Smirnova, Irina  orcid-logo
Hünger, Klaus-Jürgen
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2025-01-20
Institute
Baustoffe, Bauphysik und Bauchemie B-3  
TORE-DOI
10.15480/882.15348
TORE-URI
https://hdl.handle.net/11420/56100
Citation
Technische Universität Hamburg (2025)
An alkali-silica reaction (ASR) is a reaction that takes place within concrete structures and whose product can significantly shorten the durability of the structures through expansion. The most reliable protection against this damage is the avoidance of alkali-reactive aggregates in the concrete. There are similar international test methods for the detection of alkali-reactive aggregates. These are mainly based on the evaluation of the elongation of specimens made with the aggregate to be analysed. This study presents a potentially new test method based on solution tests and the investigations into its suitability. In this work, a new fast test procedure developed in advance for the detection of alkali-reactive aggregate was tested for its suitability on different aggregates. For this purpose, the aggregates were precisely described in terms of their composition, structure and size, and a statistically significant number of tests were carried out. By modeling the test results and determining the influence of the characteristics of the aggregates on these results, the test procedure can be tested for suitability and evaluation criteria for the reactivity of the aggregates can be developed.
Subjects
Alkali–silica reaction (ASR)
solution tests
Durabilit
Alkalis
ASR-gel
Reactive aggregates
Dissolution kinetics
Silica
High pH
High Temperature
Opaline Sandstone
Flintstone
Greywacke
Cristobalite
Quartz
Microsilica
Rhyolite
Linear regression
DDC Class
620: Engineering
Lizenz
https://creativecommons.org/licenses/by/4.0/
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