Detecting Alkali-Silica Reaction: A Multi-Physics Approach
Abstract
A multi-physics approach for the assessment of alkali silica reaction (ASR) generates new foundational understanding of the nature of the reaction, which ultimately can be used for the development of techniques and tools for the assessment and monitoring of existing concrete structures. The approach combines two nondestructive evaluation techniques: (1) nonlinear acoustic measurements, which are sensitive to microcracking; and (2) microwave materials characterization measurements, which are sensitive to moisture including the transition of water from its free state in the pore solution to a bound state within accumulating ASR gel. Comparison with assessment of expansion and damage rating index obtained from petrographic analysis on standard mortar bars shows a correlation between all of the measures. Specifically, a strong correlation is found between the cumulative average nonlinearity parameter and expansion, and there is also agreement of the microwave measurements with the damage rating index.
Recommended Citation
M. Rashidi et al., "Detecting Alkali-Silica Reaction: A Multi-Physics Approach," Cement and Concrete Composites, vol. 73, pp. 123 - 135, Elsevier, Oct 2016.
The definitive version is available at https://doi.org/10.1016/j.cemconcomp.2016.07.001
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Acoustics; Characterization; Damage Detection; Expansion; Microwave Measurement; Microwaves; Nondestructive Examination; Silica; Alkali-Aggregate Reactions; Alkali-Silica Reaction; Assessment And Monitoring; Damage; Non-Destructive Evaluation Techniques; Non-Linear Acoustics; Non-Linearity Parameter; Petrographic Analysis; Microwave Acoustics; Alkali-Aggregate Reaction; Microwave; Nonlinear Acoustics; Damage
International Standard Serial Number (ISSN)
0958-9465
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Elsevier, All rights reserved.
Publication Date
01 Oct 2016
Comments
This material is based upon work supported by the National Science Foundation under Grant No. CMMI- 1234035.