An extended chemical index model to predict the fly ash dosage necessary for mitigating alkali-silica reaction in concrete

Asghar Gholizadeh Vayghan, Jared Robert Wright, Farshad Rajabipour

Research output: Contribution to journalArticle

7 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalCement and Concrete Research
Volume82
DOIs
StatePublished - Apr 1 2016

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Coal Ash
Alkalies
Fly ash
Silicon Dioxide
Silica
Concretes
Portland cement
Pozzolan
Concrete mixtures
Prisms
Concrete construction
Oxides
Cements
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Materials Science(all)

Cite this

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title = "An extended chemical index model to predict the fly ash dosage necessary for mitigating alkali-silica reaction in concrete",
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.",
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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 journalArticle

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