高速公路软土地基处理方案是影响工程质量、工程造价和建设工期的关键因素之一。为制定技术可靠、经济合理、安全适用的软基处理方案,提出采用反映属性特征值之间的统计参数——变异系数来计算属性参数的权重,系统研究了基于变权的高速公路软基处理范例推理智能评价方法。通过大量有明确结论的软土处理工程实例,建立软土地基处理方案范例库,用变异系数来确定属性参数的权重,采用Euclidean Metric Distance计算公式计算目标范例与源范例的相似性,找到与目标范例最为相似的源范例。实例分析结果表明,基于变权的软基处理范例推理智能评价方法具有较高的可靠性。研究成果将为制定科学合理的软基处理方案提供科学依据。
Abstract
Treatment scheme of soft soil foundation in highways is one of the key factors influencing project quality, project cost and construction period. In order to present treatment schemes of soft foundation which are reliable, economic, safe and suitable, we introduce variation coefficient which is a kind of statistical parameter that can reflect characteristics of attributes to calculate weight of attribute parameters. In association with variable weight, we propose an intelligent evaluation method using case-based reasoning. Through a lot of examples of the soft soil treatment in foundation projects which have clear conclusions, we established a database of treatment scheme for soft soil foundation. Then, the similarity between the target case and source case is calculated by using Euclidean Metric Distance formula. At last, we find the source case which is the most similar to the target case. The results of case study show that, on the basis of variable weight, the intelligent evaluation method using case-based reasoning for soft foundation treatment of expressways is reliable, and the research results will provide a scientific and reasonable basis for soft foundation treatment.
关键词
道路工程 /
软土地基 /
范例推理 /
变异系数 /
欧几里得距离
Key words
road engineering /
soft soil foundation /
case-based reasoning /
variation coefficient /
Euclidean Metric Distance
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基金
国家自然科学基金项目(51274111);辽宁省博士后集聚工程项目(2011921019)
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