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Development of approximating functions to model and predict the properties of fresh and hardened fly ash-based geopolymer concrete.

机译：开发用于模拟和预测新鲜和硬化的粉煤灰基聚合物的性能的近似函数。

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摘要

The manuscript presented herein 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 strength, static elastic modulus and Poisson's ratio. It is worth mentioning that the author has already published preliminary results of this study (Diaz and Allouche, 2010; Diaz et al. 2010) in peer-reviewed journals. 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 first set was analyzed to detect correlations between fly ash characteristics and mechanical properties of GPC. Correlations within the elastic modulus, the compressive and flexural strengths of GPC were also sought and correlations were developed. These equations were tested on the second set of eight FA samples that were not included during the model building process. The results show that the 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.;Additionally, it was also found that the mechanical behavior of CPC is similar to that of ordinary Portland cement (OPC) concrete, suggesting that equations, akin to those given by the American Concrete Institute's Building Code (ACI 318, 2008), could be applied for CPC to determine its flexural strength and static elastic modulus.
机译：本文介绍的手稿基于对粉煤灰基地聚合物混凝土的机械性能及其与粉煤灰（FA）特性的联系的研究。创建了一个包含32个FA样品的数据库。根据化学成分，晶体学性质和粒度分布对每个FA样品进行了分析。根据密度，凝固时间，抗压和抗弯强度，静态弹性模量和泊松比，评估了由每个FA样品制成的地聚合物混凝土（GPC）的机械性能。值得一提的是，作者已经在同行评审期刊上发表了该研究的初步结果（Diaz和Allouche，2010年； Diaz等，2010年）。该数据库被随机分为两组。一个由24个FA样本组成，用于使用线性回归建立模型，另一个由8个FA样本组成，用于验证。分析第一组以检测粉煤灰特性与GPC力学性能之间的相关性。还寻求GPC的弹性模量，抗压强度和抗弯强度之间的相关性，并建立了相关性。这些方程式在模型建立过程中未包括的第二组八个FA样本上进行了测试。结果表明，通过分析给定FA的化学，物理和晶体学性质并遵循本研究中介绍的步骤，可以合理合理地预测GPC的弹性模量以及抗压强度和抗折强度。还发现CPC的力学性能与普通波特兰水泥（OPC）混凝土相似，这表明可以将类似于美国混凝土协会建筑规范（ACI 318，2008）给出的方程式应用到CPC上。确定其抗弯强度和静态弹性模量。

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  • 作者

    Diaz Loya, Eleazar Ivan.;

  • 作者单位

    Louisiana Tech University.;

  • 授予单位 Louisiana Tech University.;
  • 学科 Engineering Civil.;Engineering Materials Science.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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