基于GIS Portal数据挖掘的膨胀土与道路路面状况相关性研究

A. Suraji, Fitri Marisa, Candra Aditya, Faqih Rofii, A. Sudjianto, R. Riman
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引用次数: 2

摘要

膨胀土具有较高的收缩率,会影响道路路面结构的强度。本文旨在分析与道路路面损伤相关的膨胀土状况。收集道路损伤数据的方法是通过对Bina Marga拥有的GIS门户数据库进行数据挖掘。与此同时,土壤状况的数据是从属于地质局的门户网站上获取的。使用的分析方法是统计方法t-检验-配对双样本均值。研究结果表明,膨胀土条件与道路破坏存在一定的相关性。膨胀土对道路破坏有显著影响。
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Correlation of Expansive Soil and Road Pavement Conditions Using Data Mining from GIS Portal
Expansive soil has a fairly high shrinkage rate and will affect the strength of the road pavement structure. This paper aims to analyze the condition of expansive soil associated with road pavement damage. The method of collecting road damage data is done by data mining from the GIS portal database owned by Bina Marga. Meanwhile, data on soil conditions was taken from the portal belonging to the Geological Agency. The analytical method used is the statistical approach t- Test - Paired Two Sample for Means. The results of the study show that there is a correlation between expansive soil conditions and road damage. Expansive soil has a significant effect on road damage.
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