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Predicting fly ash dosages to prevent ASR by introducing the concrete prism test (CPT) chemical index model

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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.

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Acknowledgements

The authors gratefully acknowledge the financial support from the National Science Foundation under NSF CAREER AWARD#1254333 granted 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. The authors also thank Mr. Ali Kazemian and Mr. Dan Fura.

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Authors and Affiliations

  1. Walker Restoration Consultants, 2101 4th Avenue, Suite 1210, Seattle, WA, 98121, USA

    Jared R. Wright

  2. Department of Civil and Environmental Engineering, The Pennsylvania State University, 3127 Research Drive, State College, PA, 16801, USA

    Asghar Gholizadeh Vayghan

  3. Department of Civil and Environmental Engineering, The Pennsylvania State University, 231 M Sackett Building, University Park, PA, 16802, USA

    Farshad Rajabipour

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  1. Jared R. Wright
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  2. Asghar Gholizadeh Vayghan
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  3. Farshad Rajabipour
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Correspondence to Jared R. Wright.

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Wright, J.R., Vayghan, A.G. & Rajabipour, F. Predicting fly ash dosages to prevent ASR by introducing the concrete prism test (CPT) chemical index model. Int J Adv Eng Sci Appl Math 9, 144–153 (2017). https://doi.org/10.1007/s12572-017-0188-3

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