STP1566: Statistical-Based Approach for Predicting the Mechanical Properties of Geopolymer Concretes

    Diaz-Loya, E. Ivan
    Research Engineer, CeraTech Inc, Baltimore, MD

    Dept. of Civil Engineering, Louisiana Tech Univ., Baltimore, Maryland

    Allouche, Erez N.
    Associate Professor, Dept. of Civil Engineering, Louisiana Tech Univ., Louisiana

    Cahoy, Dexter
    Assistant Professor, Dept. of Mathematics and Statistics, Louisiana Tech Univ., Ruston, Louisiana

    Pages: 25    Published: Jun 2013


    Abstract

    The manuscript presented here is based on the investigation of the mechanical properties of fly-ash-based geopolymer concrete and their link to fly-ash (FA) characteristics. A database of 32 FA samples was created. Each FA sample was analyzed in terms of chemical composition, crystallographic properties, and particle size distribution. The mechanical performance of geopolymer concrete (GPC) made from each FA sample was evaluated in terms of density, setting time, compressive and flexural strengths, static elastic modulus, and Poisson's ratio. The database was randomly divided into two sets; one consisting of 24 FA samples for model building using linear regression, and another consisting of eight FA samples for validation. The results show that the density, elastic modulus, as well as the compressive and flexural strengths of GPC can be predicted with reasonable accuracy by analyzing the chemical, physical, and crystallographic properties of a given FA and following the steps presented in this study.

    Keywords:

    geopolymer, alkali-activated cement, mechanical characterization, fly ash


    Paper ID: STP156620120080

    Committee/Subcommittee: C01.10

    DOI: 10.1520/STP156620120080


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