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The use of methylene blue test for predicting swell parameters of natural clay soils

机译:亚甲蓝试验在预测天然黏土膨胀参数中的应用

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Swell behavior of clayey soils is referred to as a hidden disaster causing a great deal of damage in light hydraulic structures.In this context, it is of key importance to make a preliminary soil research and to identify soils of this nature through lab tests in order to adopt the correct design strategy. It is extremely important to have determined the swell parameters (swell percentage and swell pressure) in designing light hydraulic structures on swelling soil. In our country, these types of problems that are experienced in light hydraulic structures have been observed generally in construction works of irrigation channels carried out within the framework of Southeastern Anatolia Project. In this study, we examine the facts based on the methylene blue stain test data used in predicting swell parameters of Harran clay soils. Within the frame of the study, methylene blue tests have been carried out besides identification tests; working on undisturbed samples taken from thirty three different points by means of drilling, in an area where irrigation channels are laid intensively. Depending on relevant swell parameters, models developed are based on multiple regression analysis for practical use. In the models developed depending on dry density of soil and methylene blue value, R2values are found to be R2= 0.93 and R2= 0.85 for swell percentage and swell pressure, respectively. In view of the fact that the tests that measure swell parameters are long and costly, these models would be very useful to be able to obtain a preliminary estimate rapidly.
机译:黏土的膨胀行为被称为一种隐患,对轻型水工建筑物造成了很大的破坏。在这种情况下,进行初步的土壤研究并通过实验室测试鉴定这种性质的土壤至关重要,以便采取正确的设计策略。在膨胀土壤上设计轻型水工结构时,确定膨胀参数(膨胀百分比和膨胀压力)非常重要。在我国,在东南安纳托利亚项目框架内进行的灌溉渠建设工程中,普遍观察到轻型水工结构遇到的这类问题。在这项研究中,我们根据亚甲基蓝染色测试数据检查了事实,这些数据用于预测Harran粘土的溶胀参数。在研究范围内,除了鉴定试验外,还进行了亚甲基蓝试验。在密集铺设灌溉渠道的区域中,通过钻探对从33个不同点采集的不受干扰的样品进行工作。根据相关的膨胀参数,开发的模型基于实际应用的多元回归分析。在根据土壤干密度和亚甲基蓝值开发的模型中,溶胀百分比和溶胀压力的R2值分别为R2 = 0.93和R2 = 0.85。考虑到测量溶胀参数的测试时间长且成本高,因此这些模型对于能够快速获得初步估计值将非常有用。

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