基于工程行为的土体等级评定的Matlab程序

E. Ekeoma, U. N. Okonkwo, A. Odumade
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引用次数: 0

摘要

土的工程特性是土木工程结构的基础甚至建筑材料的重要属性。岩土工程师在建筑工程中遇到的一个关键问题是预测土壤的工程行为,以评估其是否适合任何特定的建筑目的。根据土壤的工程特性对其进行评级可以通过将土壤分为不同的组和具有相似特征的子组来实现。土壤分类系统通常包括使用图表、表格和曲线,这已经不再流行,因为当涉及到许多土壤时,它可能非常严格。软件技术的使用简化了整个过程。本研究基于统一土壤分类系统(USCS)、美国国家公路和交通官员协会(AASHTO)、塑性图和印度土壤分类系统(ISCS),以MATLAB程序的形式开发了一种易于分类的土壤算法,使该程序具有独特性。用于说明的土壤样品被收集和表征取决于粒度分析以及一致性指数。对人工分类方法与MATLAB程序进行了对比研究。MATLAB程序将土样A评为细粒,分别属于AASHTO、USCS和ISCS分类系统中A-7-6(15)、CL(中等塑性无机粘土)和MI或OI(中等塑性无机粉土或中等塑性有机粉土)土壤组;将土样B评为粗粒,分别属于A-1- B(0)、SM(粉砂)和SM(粉砂)土壤组。MATLAB程序得到的分类系统的结果与手工方法得到的结果完全一致。因此,MATLAB程序给出了非常高的准确度,几乎达到100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MATLAB PROGRAM FOR RATING SOILS BASED ON ENGINEERING BEHAVIOURS
Engineering behaviour of soils is an important attribute to be considered as the foundation or even construction materials for civil engineering structures. One critical issue encountered by geotechnical engineers in construction works is predicting the engineering behaviour of soil with a view to assessing its suitability for any given construction purpose. Rating of soils based on their engineering behaviours can be achieved by classifying the soil into different groups and sub-groups of similar characteristics. Soil classification systems usually involve the use of charts, tables and curves, which is no longer fashionable because it might be very rigorous when many soils are involved. The use of software techniques simplifies the whole process. This study developed an algorithm in the form of a MATLAB program for easy classification of soil based on the Unified Soil Classification System (USCS), American Association of State Highway and Transport Officials (AASHTO), Plasticity Chart and the Indian Soil Classification Systems (ISCS), which makes the program unique. Soil samples used for illustration were collected and characterised depending on particle size analysis as well as consistency indices. A comparative study was carried out between classifying the soil using a manual approach and the MATLAB program. The MATLAB program rated Soil Sample A to be fine-grained, which belongs to soil groups A-7-6(15), CL (inorganic clay that has medium plasticity) and MI or OI (inorganic silt of medium plasticity or organic silt of medium plasticity) while Soil Sample B was rated to be coarse-grained belonging to A-1-b (0), SM (Silty Sand) and SM (Silty Sand) in the AASHTO, USCS and ISCS classification systems respectively. The results of the classification systems from the MATLAB program were completely in conformity with the results obtained from the manual approach. Thus, the MATLAB program gave a very high degree of accuracy of almost 100%.
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