TY - JOUR
T1 - Reliability of chemical index model in determining fly ash effectiveness against alkali-silica reaction induced by highly reactive glass aggregates
AU - Wright, Jared Robert
AU - Shafaatian, Seyed
AU - Rajabipour, Farshad
N1 - Funding Information:
The authors gratefully acknowledge the financial support from the USA National Science Foundation (NSF) under Award# CMMI 1030708, and the additional support from the Hawaii Department of Transportation (HDOT) via Project No. HWY-L-2.6129. 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 or HDOT. The authors also thank fellow Nittany Lions Mr. Dan Fura, Mr. Hamed Maraghechi, and Dr. Lin Yeh.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014/8/14
Y1 - 2014/8/14
N2 - This study investigates the ability of six fly ashes to control ASR (alkali-silica reaction) generated by recycled glass sand. Specifically, this study evaluates the chemical index model's (Malvar and Lenke, 2006 [1]) capacity to accurately predict the fly ash dosage necessary to mitigate ASR. Results show the current model is conservative for low lime (CaO <10%) ashes (∼9% greater dosage than experimental results) and quite conservative for higher CaO (>10%) ashes (∼36% greater dosage than experimental results). Conclusions suggest revising model parameters can provide accurate predictions for low CaO ashes and moderately conservative predictions for higher CaO ashes.
AB - This study investigates the ability of six fly ashes to control ASR (alkali-silica reaction) generated by recycled glass sand. Specifically, this study evaluates the chemical index model's (Malvar and Lenke, 2006 [1]) capacity to accurately predict the fly ash dosage necessary to mitigate ASR. Results show the current model is conservative for low lime (CaO <10%) ashes (∼9% greater dosage than experimental results) and quite conservative for higher CaO (>10%) ashes (∼36% greater dosage than experimental results). Conclusions suggest revising model parameters can provide accurate predictions for low CaO ashes and moderately conservative predictions for higher CaO ashes.
UR - http://www.scopus.com/inward/record.url?scp=84899690759&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899690759&partnerID=8YFLogxK
U2 - 10.1016/j.conbuildmat.2014.04.042
DO - 10.1016/j.conbuildmat.2014.04.042
M3 - Article
AN - SCOPUS:84899690759
VL - 64
SP - 166
EP - 171
JO - Construction and Building Materials
JF - Construction and Building Materials
SN - 0950-0618
ER -