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
N1 - Funding Information:
The authors gratefully acknowledge the financial support from the National Science Foundation (NSF) under CMMI CAREER Award # 1254333 , awarded to the third author. Any opinions, findings, conclusions, or recommendations expressed in this manuscript are those of the authors solely and do not necessarily reflect the views of NSF. We would like to dedicate this article to the memory of Dr. Javier Malvar who was an admired and inspirational concrete engineer. The contributions of Mr. Ali Kazemian in collecting and compiling the literature are greatly appreciated. The first author would like to thank his dear mother and wife for their endless support and love.
Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.
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.
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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 -