Abstract
Currently, the concrete prism test per ASTM C1293 or RILEM AAR-3 is considered the most reliable accelerated test to determine the dosage of pozzolans to suppress alkali-silica reaction (ASR) in concrete. However, the test takes 2 years, which makes it impractical as a mixture design tool for new concrete construction. In the present work, a multiple nonlinear regression model is developed for predicting the fly ash dosage necessary to mitigate ASR per CPT. The model uses the oxide compositions of Portland cement and fly ash as well as the reactivity of the aggregates. Seventy-six experimental data points on CPT expansion results for plain Portland cement and fly ash-blended concrete mixtures were used to develop and evaluate the model. The model successfully predicts the fly ash required to mitigate ASR for different aggregates, cement, and fly ash combinations. The prediction errors in most cases meet ASTM C1293 multi-laboratory precision criterion.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | Cement and Concrete Research |
| Volume | 82 |
| DOIs | |
| State | Published - Apr 1 2016 |
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All Science Journal Classification (ASJC) codes
- Building and Construction
- Materials Science(all)
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An extended chemical index model to predict the fly ash dosage necessary for mitigating alkali-silica reaction in concrete. / Gholizadeh Vayghan, Asghar; Wright, Jared Robert; Rajabipour, Farshad.
In: Cement and Concrete Research, Vol. 82, 01.04.2016, p. 1-10.Research output: Contribution to journal › Article
TY - JOUR
T1 - An extended chemical index model to predict the fly ash dosage necessary for mitigating alkali-silica reaction in concrete
AU - Gholizadeh Vayghan, Asghar
AU - Wright, Jared Robert
AU - Rajabipour, Farshad
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Currently, the concrete prism test per ASTM C1293 or RILEM AAR-3 is considered the most reliable accelerated test to determine the dosage of pozzolans to suppress alkali-silica reaction (ASR) in concrete. However, the test takes 2 years, which makes it impractical as a mixture design tool for new concrete construction. In the present work, a multiple nonlinear regression model is developed for predicting the fly ash dosage necessary to mitigate ASR per CPT. The model uses the oxide compositions of Portland cement and fly ash as well as the reactivity of the aggregates. Seventy-six experimental data points on CPT expansion results for plain Portland cement and fly ash-blended concrete mixtures were used to develop and evaluate the model. The model successfully predicts the fly ash required to mitigate ASR for different aggregates, cement, and fly ash combinations. The prediction errors in most cases meet ASTM C1293 multi-laboratory precision criterion.
AB - Currently, the concrete prism test per ASTM C1293 or RILEM AAR-3 is considered the most reliable accelerated test to determine the dosage of pozzolans to suppress alkali-silica reaction (ASR) in concrete. However, the test takes 2 years, which makes it impractical as a mixture design tool for new concrete construction. In the present work, a multiple nonlinear regression model is developed for predicting the fly ash dosage necessary to mitigate ASR per CPT. The model uses the oxide compositions of Portland cement and fly ash as well as the reactivity of the aggregates. Seventy-six experimental data points on CPT expansion results for plain Portland cement and fly ash-blended concrete mixtures were used to develop and evaluate the model. The model successfully predicts the fly ash required to mitigate ASR for different aggregates, cement, and fly ash combinations. The prediction errors in most cases meet ASTM C1293 multi-laboratory precision criterion.
UR - http://www.scopus.com/inward/record.url?scp=84954324299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954324299&partnerID=8YFLogxK
U2 - 10.1016/j.cemconres.2015.12.014
DO - 10.1016/j.cemconres.2015.12.014
M3 - Article
AN - SCOPUS:84954324299
VL - 82
SP - 1
EP - 10
JO - Cement and Concrete Research
JF - Cement and Concrete Research
SN - 0008-8846
ER -