Determination and Mapping of the Bearing Capacity of Subsurface Soil: A Case Study of Moi University, Eldoret Kenya

Sum Kipyego, Davis Sagini, B. Omondi
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Abstract

Ground investigation is a prerequisite for any construction work that ultimately transfers its loads to the earth. Geotechnical investigation eliminates the uncertainties of ground conditions and can be planned for and considered accordingly during actual design and construction. In Kenya, ground investigation is not given the weight it deserves since most players in the sector use their experience and physical inspection to judge on the soil conditions. This is however very risky especially for high-rise buildings. Moi University, the case study, is one of the institutions that has in its plan, a series of construction developments. This study aimed at investigating, determining and mapping of index properties and bearing capacity of subsurface soil. Direct shear box and tri-axial tests results were used to map soil bearing capacity by geospatial interpolation within geographical information system platform (GIS). 9 trial pits mapped by triangulation and visual inspection were excavated and soil samples obtained at a depth of up to 3 m. The soil samples were tested for soil index and engineering properties and classified using the USCS approach. A relationship between tri-axial and direct shear box test results was developed by correlating soil bearing capacity results from the two tests. This paper provides a thematic map of the bearing capacity for the study area derived from spatial interpolation. Four geospatial interpolation methods namely; Ordinary Kriging (OK), spline, Natural Neighbour (NN) and Inverse Distance Weighting (IDW) were used. In this paper, the most suitable method for interpolating the soil bearing capacity of the four methods is provided. Six of nine sample test results were used for interpolation and the other three used for validation and error correction. Ordinary Kriging generated satisfactory results for soil bearing capacity for the study area with a relative error of 2.23 % and R 2 of 0.9993. From the safe bearing capacity map, the ground conditions of the study area varied gradually with the bearing capacity ranging from   to . Generally, the amount of clay in the soil within the area affected to a large extent, the soil bearing capacity. Keywords: Soil bearing capacity, Geospatial interpolation, Deterministic interpolation, correlation. DOI: 10.7176/CER/12-7-05 Publication date: July 31 st 2020
地下土壤承载力测定与制图——以肯尼亚埃尔多雷特莫伊大学为例
地面调查是任何最终将其负荷转移到地面的建筑工作的先决条件。岩土工程勘察消除了地面条件的不确定性,可以在实际设计和施工中进行相应的规划和考虑。在肯尼亚,地面调查没有得到应有的重视,因为该领域的大多数参与者都利用他们的经验和实地检查来判断土壤状况。然而,这是非常危险的,尤其是高层建筑。作为案例研究的莫伊大学是在其计划中进行一系列建设开发的机构之一。本研究旨在对地下土壤的指标性质和承载力进行调查、测定和制图。利用地理信息系统(GIS)平台上的直剪箱试验和三轴试验结果,进行了土壤承载力的地理空间插值。通过三角测量和目视检查,挖掘了9个试验坑,并在深度达3米的地方获得了土壤样本。对土壤样品进行了土壤指标和工程特性测试,并使用USCS方法进行了分类。通过对比两种试验的土体承载力结果,建立了三轴和直剪箱试验结果之间的关系。本文利用空间插值法绘制了研究区承载力专题图。四种地理空间插值方法分别是;采用了普通克里格法(OK)、样条法、自然邻域法(NN)和逆距离加权法(IDW)。本文给出了四种方法中最适合的土壤承载力插值方法。9个样品检验结果中的6个用于插值,另外3个用于验证和误差校正。普通克里格法对研究区土壤承载力计算结果满意,相对误差为2.23%,r2为0.9993。从安全承载力图上看,研究区地基条件逐渐变化,承载力范围为~。一般来说,土壤中粘土的含量在很大程度上影响着区域内土壤的承载能力。关键词:土壤承载力;地理空间插值;确定性插值;DOI: 10.7176/CER/12-7-05出版日期:2020年7月31日
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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