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Characterisation of heavy traffic axle load spectra for mechanistic-empirical pavement design applications

机译:机械-经验路面设计应用中重型交通轴荷谱的表征

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摘要

Heavy traffic axle load spectrum (ALS) is one of the key inputs for mechanistic-empirical analysis and design of pavement structures. Frequently, the entire ALS is aggregated into number of equivalent single axle loads or assumed to have constant contact area (CCA) or constant contact pressure. These characterisations affect the accuracy and computational performance of the pavement analysis. The objective of this study was to evaluate these characterisations based on predicted performances to rutting and fatigue cracking of several pavement structures subjected to ALS data collected from 12 bridge weigh in motion stations. The results indicated that for layers below the top 25cm, all characterisations produced similar values of predicted rutting. However, for the top 25cm, the methods differed in the predicted performances to rutting and fatigue cracking. Furthermore, an improvement to the CCA approach was proposed that enhanced the accuracy while maintaining the same level of computational performance.
机译:重载车轴载荷谱(ALS)是路面结构力学经验分析和设计的关键输入之一。通常,整个ALS被汇总为等效单轴负载的数量,或者被假定具有恒定的接触面积(CCA)或恒定的接触压力。这些特征影响路面分析的准确性和计算性能。这项研究的目的是基于对运动路面12个桥重所收集的ALS数据进行分析的几种路面结构的车辙和疲劳开裂的预测性能,从而评估这些特征。结果表明,对于顶部25厘米以下的层,所有特征都产生了相似的预测车辙值。但是,对于顶部25厘米,这些方法的预测性能不同于车辙和疲劳裂纹。此外,提出了对CCA方法的改进,该方法提高了准确性,同时保持了相同水平的计算性能。

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