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首页> 外文期刊>Geotechnical testing journal >Development of Strength Models for Prediction of Unconfined Compressive Strength of Cement/Byproduct Material Improved Soils
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Development of Strength Models for Prediction of Unconfined Compressive Strength of Cement/Byproduct Material Improved Soils

机译:预测水泥/副产品改良土壤无侧限抗压强度的强度模型的开发

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This paper presents the possible inclusion of pulverized fuel ash (PFA) and ground granulated blast slag (GGBS) in cement deep soil mixing for enhancement of unconfined compressive strength (UCS) of weak soil materials for construction purposes. The main focus of this paper was to investigate the UCS of cement-, cement/PFA-and cement/PFA/GGBS-improved soils, and development of mathematical and graphical models for prediction of UCS for use in design and construction. Samples of cement, blends of cement and PFA, and cement/PFA/GGBS were prepared using 5 %, 10 %, 15 %, and 20 % by weight of dry soil and tested for UCS after 7, 14, 28, and 56 days. A multiple regression analysis was conducted using the SPSS computer program. The results showed that soil materials with lower plasticity show higher strength development compared to those of higher plasticity for cement improvement. The study has also revealed that the inclusion of PFA and GGBS can cause a reduction in the amount of cement in deep soil mixing, which can result to reduced cost and emission of carbon dioxide (CO2) during construction. The developed mathematical and graphical models could give reliable predictions of UCS for weak soil materials with initial UCS less than or equal to 25 kPa and for water to binder ratio of unity based on the observed agreement between experimental and predicted data. The developed multiple regression models have also been validated using different mixtures of 6 %, 8 %, 12 %, and 16 % of binders.
机译:本文提出了在水泥深层土拌合中可能包含粉煤灰(PFA)和粉碎的高炉矿渣(GGBS),以增强用于建筑目的的弱土材料的无侧限抗压强度(UCS)。本文的主要重点是研究水泥,水泥/ PFA-和水泥/ PFA / GGBS改良的土壤的UCS,以及开发数学和图形模型来预测设计和施工中使用的UCS。使用5%,10%,15%和20%重量的干土制备水泥,水泥和PFA的混合物以及水泥/ PFA / GGBS的样品,并在7、14、28和56天后测试UCS 。使用SPSS计算机程序进行了多元回归分析。结果表明,可塑性较低的土壤材料与可塑性较高的土壤相比,具有更高的强度发展。研究还表明,PFA和GGBS的加入可以减少深层土壤搅拌中水泥的用量,从而可以降低施工过程中的成本并减少二氧化碳(CO2)的排放。基于观察到的实验和预测数据之间的一致性,所开发的数学和图形模型可以对初始UCS小于或等于25 kPa的弱土材料以及水胶比为1的UCS提供可靠的预测。使用6%,8%,12%和16%的粘合剂的不同混合物,还可以验证所开发的多元回归模型。

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