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通过对某高速公路货车单轴轴载调查结果的统计分析发现,该条高速公路的货车单轴轴载呈现多峰分布的特点,不能用简单的单峰概率分布密度函数表示;为了模拟随机车重的概率分布,按照随机过程理论、采用Monte-Carlo方法、通过分段多项式曲线拟合了货车单轴轴载的累积分布函数的反函数,与实测结果相比具有较好的拟合性;采用泊松过程描述了高速公路车辆荷载随机过程,得到了简化表达式,为后续的沥青混合料应力松弛本构模型的参数推导和室内试验方案设计提供基础。
Through the statistical analysis of the uniaxial axle load survey result of a freeway truck, it is found that the uniaxial axle load of the freeway truck is characterized by multi-peak distribution and can not be expressed by a simple unimodal probability distribution density function. In order to simulate the random vehicle According to the stochastic process theory, Monte-Carlo method was used to fit the inverse function of the cumulative distribution function of the uniaxial axle load of the truck through the piecewise polynomial curve, which is better than the measured one. Poisson process is used to describe the random process of expressway vehicle load. The simplified expression is obtained, which provides the basis for the subsequent parameter derivation of the asphalt mixture stress relaxation constitutive model and the design of laboratory test scheme.