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首页> 外文会议>Construction research congress >Nanosilica Particles in Concrete: Optimization for Compressive Strength, Permeability, and Cost-Benefit Relationship
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Nanosilica Particles in Concrete: Optimization for Compressive Strength, Permeability, and Cost-Benefit Relationship

机译：混凝土中的纳米二氧化硅颗粒：抗压强度，渗透率和成本效益关系的优化

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摘要

In this study concrete mixtures with nanosilica particles (NS), silica fume (SF), and fly ash (FA) were tested for compressive strength, permeability via the rapid chloride ion permeability test (RCPT) and the costs were estimated for each mixture design. Model equations were generated from the empirical data and used to predict compressive strength and permeability for mixes containing NS, SF, and FA, with dosages within the tested range. After establishing the accuracy of the predictive model equations, three goals were established. The first objective was finding the optimal dosage of NS when it is the only admixture considered; the results indicate that the highest level tested of NS%=3 is the optimal dosage. The second objective was to find the maximum compressive strength and lowest permeability when all three admixtures are considered, for both tests, the best performing mixture contained NS%=3, SF%=20 and FA%=0. Finally, the predictive models were used simultaneously in order to find mixtures with the best cost. The predictive models found mixture designs that were able to improve performance, while simultaneously reducing costs when compared with the control mixture.
机译：在这项研究中，通过快速氯离子渗透性测试（RCPT）测试了具有纳米二氧化硅颗粒（NS），硅粉（SF）和粉煤灰（FA）的混凝土混合物的抗压强度，渗透性，并估算了每种混合物设计的成本。从经验数据中得出模型方程式，并用于预测含有NS，SF和FA的混合物的抗压强度和渗透性，其剂量在测试范围内。在建立预测模型方程的准确性之后，建立了三个目标。第一个目标是在仅考虑NS的混合物时找到NS的最佳剂量。结果表明，NS％= 3的最高测试水平是最佳剂量。第二个目的是在考虑所有三种掺混物时找到最大的抗压强度和最低的渗透性，对于两种测试，性能最佳的混合物均包含NS％= 3，SF％= 20和FA％= 0。最后，同时使用预测模型以找到成本最高的混合物。预测模型发现与对照混合物相比，混合物设计能够提高性能，同时降低成本。

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