Abstract
This study modifies the chemical index model (Malvar and Lenke in ACI Mater J 103(5):319–326, 2006) to predict the fly dosage needed to mitigate ASR (alkali-silica reaction) based on concrete prism test (CPT) expansion data. The utility of such a model (known as the CPT chemical index model) is that it reduces a two-year long test (CPT) to a calculation. Over eighty CPT data points of different aggregate, cement, and fly ash combinations from different literature sources were collated to create a model to predict the fly ash dosage (on a mass basis) necessary to prevent ASR. The CPT chemical index model developed from this study is slightly conservative for Class F fly ashes (0–10% greater replacement than actual) and conservative for Class C fly ashes (0–15% greater replacement than actual). The Standard Error of the Regression is 0.1614. Despite the presence of a relatively large Standard Error of the Regression, the conservative values of this model show promise for predicting ASR expansions with Class F fly ahes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have