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Calibration of Fatigue Cracking Model of Flexible Pavements Using Mechanistic-Empirical Based Probabilistic Method

机译:基于经验机理的概率方法对柔性路面疲劳裂纹模型的标定

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In order to utilize a mechanistic-empirical procedure in flexible pavement design, a procedure being able to predict the occurrence of the fatigue cracking of pavement in the field is needed. A mechanistic-empirical based probabilistic procedure was proposed for fatigue cracking modeling in this paper. The fatigue life of the pavement was assumed to be dependent upon the means of tensile strain at the bottom of asphalt layer, resilient modulus of asphalt layer, and applied traffic loading, as well as their variances. The damage ratio D was assumed to be a log-normal distribution and the percentage of area cracked was computed as the probability that log(D) exceeded zero. Taylor's expansion was employed to calculate the mean and variance of log(D). The regression coefficients in fatigue cracking model were then determined by minimizing an objective function that represented the differences between the measured and predicted fatigue cracking areas. A procedure for converting categorical fatigue cracking ratings to numerical values was also proposed. The root mean squared error (RMSE) of the calibrated fatigue cracking model is about 7% (of the wheelpath area). The proposed procedure for the calibration of fatigue cracking model requires field and laboratory tests to verify its validity.
机译:为了在柔性路面设计中利用机械-经验方法,需要一种能够在现场预测路面疲劳裂纹的发生的方法。提出了一种基于机械经验的概率过程进行疲劳裂纹建模。假定路面的疲劳寿命取决于沥青层底部的拉伸应变,沥青层的弹性模量,所施加的交通负荷及其变化。假定损坏率D为对数正态分布,并计算破损面积百分比,作为log(D)超过零的概率。泰勒展开式用于计算log(D)的均值和方差。然后,通过最小化表示测量和预测疲劳裂纹面积之间差异的目标函数,确定疲劳裂纹模型中的回归系数。还提出了将分类疲劳裂纹等级转换为数值的程序。校准后的疲劳裂纹模型的均方根误差(RMSE)约为车轮径迹面积的7%。提出的疲劳裂纹模型校准程序需要现场和实验室测试以验证其有效性。

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