Conceptual fuzzy-based decision support tool for soil improvement under highway embankment - a case study of HaNoi–HaiPhong expressway

IF 1.3 Q2 ENGINEERING, GEOLOGICAL International Journal of Geotechnical Engineering Pub Date : 2023-03-16 DOI:10.1080/19386362.2023.2227505
T. D. Toan, S. Lam, Y. Wong, M. Meng
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Abstract

ABSTRACT In this research, a fuzzy rule–based decision support (FRBDS) tool is developed to assist selection of ground treatment techniques for road embankments. Using input variables such as embankment height, geological condition and soft soil thickness, the FRBDS evaluates the ground treatment level, based upon which the highway engineer determines a suitable treatment method taking into account project constraints. In the case study, the FRBDS is applied for a 10-km package of HaNoi–HaiPhong expressway construction project and is evaluated in comparison to expert judgements. The results show that the treatment methods provided by the two approaches are similar for 36 out of 52 sections of the package, but the FRBDS provides more consistent and rational solutions. In particular, the FRBDS significantly reduces technological fragmentation. It can be concluded that the FRBDS is a useful tool that establishes structured innovative solutions to improve the quality of decision-making for large transportation projects.
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基于概念模糊决策支持工具的公路路堤下土壤改良研究——以哈尔滨至海防高速公路为例
摘要在本研究中,开发了一种基于模糊规则的决策支持(FRBDS)工具,以帮助选择路堤的地基处理技术。FRBDS使用路堤高度、地质条件和软土厚度等输入变量来评估地基处理水平,在此基础上,公路工程师在考虑项目限制的情况下确定合适的处理方法。在案例研究中,FRBDS适用于10公里长的HaNoi-HaiPhong高速公路建设项目,并根据专家判断进行评估。结果表明,对于包装的52个部分中的36个部分,这两种方法提供的处理方法相似,但FRBDS提供了更一致和合理的解决方案。特别是,FRBDS显著减少了技术碎片化。可以得出结论,FRBDS是一个有用的工具,可以建立结构化的创新解决方案,以提高大型交通项目的决策质量。
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来源期刊
CiteScore
5.30
自引率
5.30%
发文量
32
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