The development of the falling weight deflectometer (FWD) in the late 1970s made it possible to determine quickly the in situ modulus and critical stresses/strains in pavement structures, which are generally considered the most important input for the ‘mechanistic’ part of the mechanistic–empirical pavement design method. In 2015, the newly designed FastFWD was released and provided the opportunity to speed up the testing procedure and overall productivity significantly. The increased rate of loading prompted the current study into the possibility of performing in situ accelerated pavement testing to predict pavement deterioration, and to fill the gap between the heavy vehicle simulator and small-scale laboratory test methods. Numerous experimental sequences and test sites have been initiated since the start of the research; in the last of these, 1·6 million load applications were applied and the dynamic modulus master curve was back-calculated and used to filter out the viscoelastic response of the asphalt layer caused by temperature changes within the material from the repeated loading. Based on the findings of this research, an incremental-recursive fatigue model has been used to predict accurately the reduction in asphalt modulus as a function of any combination of loads and temperatures for a known material.

中文翻译：

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快速下落的重量偏转仪作为执行加速路面测试的新工具

1970年代末，下落式重量偏转仪（FWD）的发展使得可以快速确定路面结构的原位模量和临界应力/应变，这通常被认为是机械“机械”部分的最重要输入。 –经验性路面设计方法。2015年，新设计的FastFWD发布，并提供了显着加快测试程序和总体生产率的机会。负荷率的增加促使当前的研究开始进行现场加速路面测试以预测路面退化并填补重型车辆模拟器和小型实验室测试方法之间的空白的可能性。自研究开始以来，已经启动了许多实验序列和测试位点。在这些的最后，施加了1·600万次载荷，并对动态模量主曲线进行了反算，并用于滤除由于反复载荷而引起的材料内部温度变化所引起的沥青层的粘弹性响应。基于这项研究的结果，已使用增量递归疲劳模型来准确预测沥青质模量随已知材料的载荷和温度的任意组合而降低的程度。