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作 者:黄晓銮 HUANG Xiaoluan(Department of Architectural Engineering,Fujian Forestry Vocational and Technical College,Nanping 353000,China)
机构地区:[1]福建林业职业技术学院建筑工程系,福建南平353000
出 处:《黑龙江工程学院学报》2022年第2期25-30,共6页Journal of Heilongjiang Institute of Technology
基 金:福建省教育厅中青年教师教育科研项目(JAT201115)。
摘 要:高填方路基边缘区域是高填路基滑塌、开裂等病害的高发区域,该部位的压实均匀性评价尤为重要。针对目前智能压实规范缺少对高填方路基边缘均匀性评价的不足,引入最近邻法对现有均匀性评价体系进行补充。结合现场试验数据,首先验证了智能压实数据网格化后的可靠性,并利用网格化数据,验证最近邻法可有效表征高填路基边缘不合格区域的空间分布特性,再根据分布特性评价其均匀性,为现有智能压实均匀性评价体系进行补充。The edge area of high fill subgrade is a high incidence area of high fill subgrade collapse,cracking and other diseases,so the evaluation of compaction uniformity is particularly important.In view of the lack of evaluation on the edge uniformity of high fill subgrade in the current intelligent compaction specification,the nearest neighbor method is introduced to supplement the existing uniformity evaluation system.Combined with the field test data,the reliability of intelligent compaction data after gridding is verified.By using the gridded data,it is verified that the nearest neighbor method can effectively characterize the spatial distribution characteristics of unqualified areas at the edge of high fill subgrade,and evaluate its uniformity according to the distribution characteristics,which is a supplement to the existing intelligent compaction uniformity evaluation system.
关 键 词:智能压实技术 高填路基边缘 最近邻法 均匀性评价
分 类 号:U25[交通运输工程—道路与铁道工程]
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