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首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Civil Engineering >Model Technics to Predict the Impact of the Particle Size Distribution (PSD) of the Sand on the Mechanical Properties of the Cement Mortar Modified with Fly Ash
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Model Technics to Predict the Impact of the Particle Size Distribution (PSD) of the Sand on the Mechanical Properties of the Cement Mortar Modified with Fly Ash

机译:模型技术,以预测砂粒度分布(PSD)对粉煤灰改性水泥砂浆机械性能的影响

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摘要

Despite many of the research studies on the effect of the particle size distribution of the sand and fly ash content on the mechanical behavior of the cement mortar, there has not been a comprehensive study investigating the effect of particle size distribution curve corresponding to 10% of finer (d(10)), fly ash content, curing time, sand particle size distribution properties (d(10)), and water to cement ratio (w/c) on the compressive (sigma(c)), tensile (sigma(t)), and flexural (sigma(f)) strengths of cement mortar. Therefore, this study investigates the subject which could be beneficial for the geotechnical and building and construction field. In this study, more than 1000 data on the mechanical properties of the cement mortar modified with different percentages of fly ash varied from 5 to 75% (by dry weight of the cement) collected from the literature. Statistical analysis and modeling were performed on the collected data. Vipulanandan p-q model was used and compared to the Logistic Growth model to predict the particle size distribution of sands used in the cement mortar. The water to cement ratio (w/c) of the cement mortar ranged between 0.20-0.80 percent and the compressive strength (sigma(c)), tensile strength (sigma(t)) and flexural strength (sigma(f)) of cement mortar modified with fly ash up to 90 days of curing were ranged between 15-88 MPa, 0.4-5 MPa, and 1-10 MPa, respectively. Vipulanandan correlation model was also used and compared with the Hoek-Brown model to correlate the mechanical properties of cement mortar modified with fly ash. The analysis and modeling results of the present study showed that there is a good relationship between the compressive strength (sigma(c)) with w/c, curing time, fly ash content and d(10.) Based on the coefficient of determination (R-2) and root mean square error (RMSE) the compressive strength (sigma(c)), flexural strength (sigma(f)) and tensile strength (sigma(t)) of cement mortar quantified well as a function of w/c, the percentage of fly ash, curing time, and d(10) using nonlinear relationship.
机译:尽管有许多研究对砂浆颗粒尺寸分布的影响,但粉煤灰含量对水泥砂浆的力学行为,但还没有综合研究调查对应于10%的粒度分布曲线的效果更细(D(10)),粉煤灰含量,固化时间,砂粒度分布特性(D(10)),以及压缩(Sigma(C)),拉伸(Sigma (t))和水泥砂浆的弯曲(Sigma(F))强度。因此,本研究调查了对岩土和建筑和建筑领域有益的主题。在本研究中,用不同百分比的粉煤灰改性的水泥砂浆的机械性能的超过1000个数据不同于文献中收集的5至75%(通过水泥的干重)。对收集的数据进行统计分析和建模。使用vipulanandan p-q模型,并与逻辑生长模型进行比较,以预测水泥砂浆中使用的砂粒度分布。水泥砂浆水泥比(w / c)的水分范围为0.20-0.80%,抗压强度(Sigma(c)),抗拉强度(Sigma(T))和水泥的弯曲强度(Sigma(F))用粉煤灰改性的砂浆分别在15-88MPa,0.4-5MPa和1-10MPa的范围内。 vipulanandan的相关模型也使用并与Hoek-棕色模型进行比较,以将水泥砂浆的机械性能与粉煤灰进行相关。本研究的分析和建模结果表明,基于测定系数( R-2)和均方根误差(RMSE)压缩强度(Sigma(C)),弯曲强度(Sigma(F))和水泥砂浆的拉伸强度(Sigma(T))定量良好,作为W /的功能C,粉煤灰,固化时间和D(10)的百分比使用非线性关系。

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