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基于微观结构的多孔沥青混合料吸声模型
Acoustic Absorption Model of Porous Asphalt Mixture Based on Its Micro Structure
投稿时间:2016-05-30  修订日期:2016-07-27
DOI:103969/j.issn.1007 9629201704014
中文关键词:  海绵城市  道路工程  多孔沥青混合料  图像处理  微观结构  吸声系数  轮胎/路面噪声
英文关键词:sponge city  highway engineering  porous asphalt mixture  image analysis  micro structure  coefficient of acoustic absorption  tire/pavement noise
基金项目:国家自然科学基金面上项目(51578076,5178467);中央高校基本科研业务费科技创新项目(2682016CX009);国家自然科学基金青年基金项目(51408287);中央高校基本科研业务专项费“特殊地区公路工程教育部重点实验室”开放基金(310821171103)
              
作者单位
陈德
CHEN De
西南交通大学土木工程学院,四川成都610031
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
韩森
HAN Sen
长安大学公路学院,陕西西安710064
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
韩霄
HAN Xiao
长安大学公路学院,陕西西安710064
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
苏谦
SU Qian
西南交通大学土木工程学院,四川成都610031
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
王兆宇
WANG Zhaoyu
长安大学公路学院,陕西西安710064
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
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中文摘要:
      为了在设计阶段实现基于设计参数的多孔沥青混合料吸声性能预估,构建了基于微观结构的多孔沥青混合料吸声模型.依据声电类比理论,计算了多孔沥青混合料吸声模型的声阻抗和吸声系数;运用图像处理技术及统计分析方法,得到了多孔沥青混合料“特征孔隙直径”;依据多孔沥青混合料吸声模型微单元体中毛细管长度随圆球与毛细管截面直径比值的变化规律,得到了微单元体中毛细管的结构参数取值.结果表明:所构建的多孔沥青混合料吸声模型预测的给定声波频率下试件最大吸声系数及其对应频率与驻波管法实测值之间具有良好的相关性,验证了该模型在预测多孔沥青混合料吸声特性方面的准确性.
英文摘要:
      In order to predict the acoustic absorption characteristics of porous asphalt mixture based on design parameters in design stage, a new acoustic absorption model of porous asphalt mixture was proposed based on its micro structure. The acoustic impedance and coefficient of acoustic absorption of porous asphalt mixture were calculated with the electro acoustic analogy theory. The diameter of characteristic air void of porous asphalt mixture was proposed by using image analysis techniques and statistical analysis theory. The capillary structure values of micro element were obtained by analyzing the relationship between length of capillary and sphere capillary diameter ratio of micro element. Results show that there is a good correlation between the predicted maximum coefficient of acoustic absorption and responding frequency, using this acoustic absorption model of porous asphalt mixture, and tested values with standing wave tube. Ultimately, this acoustic absorption model of porous asphalt mixture was verified as a powerful and robust tool in modeling and predicting the acoustic absorption characteristics of porous asphalt mixture.
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