集料表面纹理粗糙度的测量

Roughness measurement of aggregate surface texture

为了有效评价集料表面纹理粗糙程度对沥青混合料路用性能的影响,采用激光轮廓仪直接测量了9种不同集料的表面纹理轮廓曲线,通过轮廓滤波方法将其划分为宏观纹理和微观纹理,并应用几何统计方法,以算术平均偏差、算术平均波长和轮廓偏斜度为评价指标,对其表面纹理粗糙度进行了定量评定。分析结果表明:算术平均偏差最适宜用来描述集料表面纹理的粗糙程度,算术平均偏差越大,集料表面纹理的粗糙度越大;波长2mm为集料表面宏观纹理和微观纹理的界限值;根据算术平均偏差,集料表面纹理粗糙度可以划分为4级。

In order to effectively evaluate the remarkably influence of the roughness of aggregate surface texture on the pavement performance of asphalt mixture, nine different aggregate surface textures were measured directly by using laser profilometer, then the textures were divided into micro-textures and macro-textures by using profile filter method. Geometry statistical method was adopted to evaluate the roughnesses of the textures quantitatively. The evaluation indexes were arithmetic mean deviation, arithmetic mean wavelength and outline skewness. Evaluation result indicates that arithmetie mean deviation is the most conformable index to describe the roughness of aggregate surface texture. Moreover, with the increase of arithmetic mean deviation, the roughness of aggregate surface texture change larger. Aggregate surface textures are divided into macro textures and micro-textures according to 2 mm wavelength limit. The roughnesses of aggregate surface textures can be classified into four different grades according to arithmetic mean deviation. 2 tabs, 16 figs, 13 refs.