發(fā)布時(shí)間：2018-07-27 11:21

【摘要】：施工變異性會導(dǎo)致瀝青路面材料性能產(chǎn)生偏離，可能引發(fā)多種早期病害，影響道路的使用性能和服務(wù)水平，降低道路的服役壽命。為分析道路施工的變異性及其對道路使用性能的影響，本文分析了瀝青路面施工時(shí)，瀝青指標(biāo)、礦料級配、瀝青含量及空隙率等主要控制參數(shù)變異性范圍及概率分布，進(jìn)而運(yùn)用誤差傳遞原理和蒙特卡洛分析了瀝青混合料動態(tài)模量，并分析了瀝青面層厚度的變異性。最后通過蒙特卡洛模擬分析了粘土、粉土和砂土中稠度和壓實(shí)度變異性對土基回彈模量的影響。 調(diào)研分析了瀝青針入度、軟化點(diǎn)、延度、瀝青含量、礦料級配、空隙率和面層厚度等瀝青路面施工主要控制參數(shù)測量值的概率分布特性，研究表明，瀝青路面施工主要控制參數(shù)值大多服從正態(tài)分布，但各參數(shù)的變異性相差較大。其中，瀝青針入度、軟化點(diǎn)和瀝青含量的變異性較小，瀝青延度的變異性較大，礦料級配的變異性隨著篩孔尺寸的減小而增大，而空隙率、瀝青面層厚度的變異性則隨著層位上升而降低。 根據(jù)瀝青針入度、礦料級配、空隙率和瀝青含量等面層施工主控參數(shù)值的概率分布特性和變異性范圍，利用Witczak瀝青混合料動態(tài)模量的預(yù)測模型，并采用誤差傳遞公式和蒙特卡洛方法分析了瀝青針入度、礦料級配、空隙率和瀝青含量對瀝青混合料動態(tài)模量變異性的影響。結(jié)果表明，蒙特卡洛方法的分析效果更接近實(shí)際情況。其中，4.75mm篩孔通過率、空隙率和針入度等三項(xiàng)指標(biāo)的變異性對瀝青混合料的動態(tài)模量變異性的影響較大，其次為0.075mm篩孔通過率和瀝青含量的變異性；19mm篩孔通過率變異性對動態(tài)模量的變異性也有影響，但其影響程度與篩余百分率有關(guān)，對于19mm篩孔篩余百分率較小的細(xì)粒式和中粒式瀝青混凝土，其變異性對模量變異性的影響很小。 根據(jù)壓實(shí)度、稠度、塑性指數(shù)等土基施工主控參數(shù)值的概率分布特性和變異性范圍，建立了粘土、粉土和砂土等三類的土基回彈模量預(yù)測模型，，并采用蒙特卡洛方法分析了三種土基壓實(shí)度、稠度變異性對土基回彈模量變異性的影響。結(jié)果表明，粘土和粉土中，稠度變異性的影響較壓實(shí)度的影響高很多，而砂土中稠度變異性的影響較低，而且比壓實(shí)度變異性的影響還要低一些。
[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.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U416.217

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本文編號：2147657