沥青路面施工质量的符合性检验

发布时间：2018-07-27 11:21

【摘要】：施工变异性会导致沥青路面材料性能产生偏离，可能引发多种早期病害，影响道路的使用性能和服务水平，降低道路的服役寿命。为分析道路施工的变异性及其对道路使用性能的影响，本文分析了沥青路面施工时，沥青指标、矿料级配、沥青含量及空隙率等主要控制参数变异性范围及概率分布，进而运用误差传递原理和蒙特卡洛分析了沥青混合料动态模量，并分析了沥青面层厚度的变异性。最后通过蒙特卡洛模拟分析了粘土、粉土和砂土中稠度和压实度变异性对土基回弹模量的影响。调研分析了沥青针入度、软化点、延度、沥青含量、矿料级配、空隙率和面层厚度等沥青路面施工主要控制参数测量值的概率分布特性，研究表明，沥青路面施工主要控制参数值大多服从正态分布，但各参数的变异性相差较大。其中，沥青针入度、软化点和沥青含量的变异性较小，沥青延度的变异性较大，矿料级配的变异性随着筛孔尺寸的减小而增大，而空隙率、沥青面层厚度的变异性则随着层位上升而降低。根据沥青针入度、矿料级配、空隙率和沥青含量等面层施工主控参数值的概率分布特性和变异性范围，利用Witczak沥青混合料动态模量的预测模型，并采用误差传递公式和蒙特卡洛方法分析了沥青针入度、矿料级配、空隙率和沥青含量对沥青混合料动态模量变异性的影响。结果表明，蒙特卡洛方法的分析效果更接近实际情况。其中，4.75mm筛孔通过率、空隙率和针入度等三项指标的变异性对沥青混合料的动态模量变异性的影响较大，其次为0.075mm筛孔通过率和沥青含量的变异性；19mm筛孔通过率变异性对动态模量的变异性也有影响，但其影响程度与筛余百分率有关，对于19mm筛孔筛余百分率较小的细粒式和中粒式沥青混凝土，其变异性对模量变异性的影响很小。根据压实度、稠度、塑性指数等土基施工主控参数值的概率分布特性和变异性范围，建立了粘土、粉土和砂土等三类的土基回弹模量预测模型，，并采用蒙特卡洛方法分析了三种土基压实度、稠度变异性对土基回弹模量变异性的影响。结果表明，粘土和粉土中，稠度变异性的影响较压实度的影响高很多，而砂土中稠度变异性的影响较低，而且比压实度变异性的影响还要低一些。
[Abstract]:Construction variability will lead to the deviation of asphalt pavement material performance, may cause a variety of early diseases, affect the performance and service level of road, reduce the service life of road. In order to analyze the variation of road construction and its influence on the performance of road use, this paper analyzes asphalt pavement construction, asphalt index, mineral aggregate gradation, Lek. The variation range and probability distribution of the main control parameters, such as the green content and the void ratio, are used to analyze the dynamic modulus of the asphalt mixture by using the principle of error transfer and Monte Carlo, and the variability of the thickness of the asphalt surface is analyzed. Finally, the variability of the consistency and compactness in clay, silt and sand is analyzed by Monte Carlo simulation. The influence of modulus of resilience.
The probability distribution characteristics of the main control parameters of asphalt pavement construction, such as pitch needle penetration, softening point, ductility, asphalt content, mineral aggregate gradation, porosity and surface thickness, are investigated and analyzed. The research shows that most of the main parameters of asphalt pavement construction are subject to normal distribution, but the variation of the parameters is quite different. The variability of softening point and bitumen content is smaller, the variation of bitumen ductility is larger, and the variability of mineral aggregate gradation increases with the size of sieve hole, and the variability of void ratio and asphalt surface thickness decreases with the rise of the horizon.
According to the probability distribution characteristics and variation range of the main parameters of the main control parameters of the surface layer construction, such as the pitch penetration, the mineral aggregate gradation, the void fraction and the asphalt content, the prediction model of the dynamic modulus of the Witczak asphalt mixture is used, and the error transfer formula and Monte Carlo method are used to analyze the penetration of the leachable needle, the gradation of the mineral material, the porosity and the content of the asphalt. The effect of the variation of dynamic modulus of asphalt mixture shows that the analysis effect of Monte Carlo method is more close to the actual situation. Among them, the variation of the three indexes, such as the passing rate of the 4.75mm sieve, the porosity and the needle penetration, has great influence on the variation of the dynamic modulus of the asphalt mixture, followed by the passing rate of the 0.075mm sieve hole and the content of the asphalt. Variability, the variation of the passing rate of 19mm sieves also affects the variability of the dynamic modulus, but the degree of influence is related to the percentage of the sieve residue. The variation of the variation on the modulus variability is very small for the fine and medium granular asphalt concrete with a small residual percentage of 19mm sieve pore sieve.
According to the probability distribution characteristics and variation range of the main control parameter values of soil foundation construction, such as compaction degree, consistency and plasticity index, three types of soil based resilience modulus prediction model of clay, silt and sand are established, and the influence of three soil foundation compactness and consistency variability on the variability of soil based resilience modulus is analyzed by Monte Carlo method. It is shown that the influence of consistency variability in clay and silty soil is much higher than that of compactness, but the influence of consistency variability in sand is lower, and it is lower than the influence of degree of compactness variability.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U416.217

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