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为深入分析沥青混凝土路面表面宏观纹理特征,在12条不同等级的道路上,选取了包含沥青混凝土(AC)、沥青玛蹄脂碎石(SMA)、开级配抗滑磨耗层(OGFC)、微表处(MS)和稀浆封层(SS)等路面类型的35个测试点,利用激光断面仪开展了路面表面宏观纹理断面的现场测试。分析表明,沥青混凝土路面表面宏观纹理断面具有典型的多重分形特征,多重分形谱呈向右的钩形,多重分形谱的分布宽度(Δα)反映了路面断面起伏幅度的变化范围,与路面表面平均断面深度(MPD)之间有较为显著的相关性。最小概率子集与最大概率子集的分形维数差(Δf(α))表征了路面表面纹理不同起伏幅度的分布情况,从一个新的角度描述了路面表面断面的特征,丰富了对路面表面宏观纹理特征的描述。
In order to deeply analyze the macroscopic texture of asphalt concrete pavement surface, the asphalt concrete (AC), SMA, OGFC, Micro-surfacing (MS) and slurry seal (SS) and other road types of 35 test points, the use of laser profilometer carried out on the road surface macro-texture cross-section of the field test. The analysis shows that the macroscopic texture cross section of asphalt concrete pavement has the typical multifractal characteristics and the multifractal spectrum has the right hook shape. The distribution width (Δα) of the multifractal spectrum reflects the variation range of the pavement fluctuation amplitude, Section depth (MPD) between the more significant correlation. The difference of fractal dimensions between the minimum probability subset and the maximum probability subset (Δf (α)) characterizes the distribution of the different undulating amplitude of the pavement surface texture. It describes the characteristics of the pavement surface profile from a new perspective and enriches the pavement surface Description of macro texture features.