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Statistical Comparison of Mechanistic-Empirical Models for Predicting Fatigue Life of Cement-Treated Base Layers over Weak Subgrades

机译:预测软弱路基水泥处理基层疲劳寿命的机理-经验模型的统计比较

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The purpose of this research was to identify mechanistic-empirical models published in the literature for prediction of fatigue cracking in cement-treated base (CTB) layers, identify specific pavement parameters to which each model is sensitive, and identify models that predict consistently higher or lower values than others in a parametric study involving 90 different combinations of asphalt thickness, CTB thickness and modulus, and subgrade modulus; low subgrade modulus values representing thaw-weakened conditions were specified. Four models were identified for evaluation: 1) American Coal Ash Association, 2) Australian, 3) South African, and 4) Uzan. Computer software was utilized to calculate the critical stresses and strains needed to determine CTB fatigue life, and statistical procedures were employed to analyze the data. Within the ranges of values investigated in this study, the Australian and Uzan models are most sensitive to the evaluated factors, while the American Coal Ash Association and South African models are least sensitive. In addition, the data clearly indicate that the Uzan model most frequently predicts the highest values of CTB fatigue life, while the South African model most frequently predicts the lowest values. Field performance data are needed for evaluating the accuracy of these models, the results of which vary widely for the studied conditions.
机译:这项研究的目的是确定在文献中发表的用于预测水泥处理的基层(CTB)层中疲劳裂纹的机理-经验模型,确定每个模型对其敏感的特定路面参数,并确定能够持续预测更高或更高的模型。在涉及90种沥青厚度,CTB厚度和模量以及路基模量的不同组合的参数研究中,该值低于其他参数;指定了表示融化弱化条件的低路基模量值。确定了四个模型进行评估:1)美国煤灰协会,2)澳大利亚,3)南非和4)乌赞。利用计算机软件计算确定CTB疲劳寿命所需的临界应力和应变,并使用统计程序分析数据。在本研究调查的值范围内,澳大利亚和乌赞模型对评估因素最敏感,而美国煤灰协会和南非模型则最不敏感。此外,数据清楚地表明,Uzan模型最常预测CTB疲劳寿命的最高值,而南非模型最常预测最低值。评估这些模型的准确性需要现场性能数据,其结果在所研究的条件下差异很大。

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