摘要: |
为定量表征集料表面纹理构造,采用激光纹理扫描仪获取单档集料及其混合集料的表面纹理构造信息,对单档集料及其混合集料的表面纹理构造波长斜率谱密度(SSD)曲线的分布规律、特征参数及相互关系进行研究.结果表明:单档集料及其混合集料的表面纹理构造波长SSD曲线均符合Gaussmod函数方程,决定系数R2均高于0.99;提出了通过单档集料SSD曲线预测混合集料构造波长SSD曲线的预测方程,预测方程对SSD曲线峰面积、峰值的预测准确度不足,但对18.3 mm以下节点波长面积比的预测精度较高.实践表明,SSD曲线特征参数中节点波长面积比、峰面积与路面车内噪音具有良好的线性关系,其决定系数R2达到0.957 1、0.887 6. |
关键词: 道路工程 集料 表面纹理构造波长 功率谱密度 斜率谱密度 特征参数 车内噪音 |
DOI:10.3969/j.issn.1007-9629.2023.12.010 |
分类号:U414.01; |
基金项目:“十三五”国家重点研发计划项目(2018YFB1600103);交通运输部应用基础研究项目(2015319817110);山东省交通运输科技创新计划(2017B22);山东省交通运输科技创新计划(2021106160297) |
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SSD Distribution Law and Characteristic Parameters of Texture Construction Wavelength on Aggregate Surface |
LIN Jiangtao1, WANG Hao2, FAN Liang1, LI Yongzhen1, ZHUANG Chuanyi3
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1.Key Laboratory for Road Structure and Material of Shandong Province, Shandong Transportation Research Institute, Jinan 250101, China;2.Shandong Hi-speed Company Limited, Jinan 250101, China;3.School of Civil Engineering,Shandong Jiaotong University, Jinan 250357, China
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Abstract: |
In order to quantitatively characterize the surface texture structure of aggregate, the surface texture structure information of single-grade aggregate and its mixture was obtained by the laser texture scanner, and the construction wavelength slope spectral density(SSD) was selected as the characterization parameter to study the distribution rule, characteristic parameters and relationship of the surface texture structure wavelength SSD curve of single-grade aggregate and its mixture were investigated. The results show that the SSD curves of the surface texture construction wavelength of the single-grade aggregate and its mixture aggregate are consistent with the Gaussmod function equation, and the determination coefficient R2 is higher than 0.99; The prediction equation for predicting the SSD curve of the composite aggregate by single-grade aggregate SSD curve is proposed. The prediction accuracy of the prediction equation for the peak area, peak value of the SSD curve is insufficient, and the prediction accuracy for the node wavelength area below 18.3 mm is higher than that of the characteristic parameters. Engineering practice shows that the characteristic parameters of SSD curve node wavelength area ratio and peak area have a good linear relationship with the interior noise on the road, and the determination coefficient R2 reaches 0.957 1 and 0.887 6. |
Key words: road engineering aggregate surface texture structure wavelength power spectral density slope spectral density characteristic parameter interior noise |