Tutka Paweł, Nagórski Roman, Złotowska Magdalena
Faculty of Civil Engineering, Warsaw University of Technology, Al. Armii Ludowej 16, 00-637 Warsaw, Poland.
Materials (Basel). 2024 Sep 7;17(17):4412. doi: 10.3390/ma17174412.
The article investigates the impact of applying a dynamic computational model that considers inertia forces on pavement deflections under rapidly changing loads over time. This study is particularly relevant to the modelling of falling weight deflectometer (FWD) testing. Initially, the article examines the deflection values obtained from computational models under loads with varying frequencies. In this context, considering inertia forces was significant for load durations shorter than 0.04 s. In such cases, the results of static and dynamic analyses differed considerably. One application of FWD measurement results is determining the stiffness moduli of pavement layers using backcalculation. The study explored the impact of incorporating inertia forces into the pavement model on the estimated values of stiffness moduli obtained via backcalculation. The results revealed differences of several percent between the stiffness moduli calculated using dynamic and static numerical models. Subsequently, the key pavement deformations and fatigue life were determined using the obtained moduli. Again, significantly different results were observed between dynamic and static cases. Based on these findings, it can be concluded that dynamic effects should not be ignored when using FWD testing for backcalculation. Additionally, the article addresses the sensitivity of backcalculation results, which is crucial for the accurate interpretation of the obtained data.
本文研究了应用一种考虑惯性力的动态计算模型对随时间快速变化的荷载作用下路面挠度的影响。这项研究与落锤式弯沉仪（FWD）测试的建模特别相关。最初，本文研究了在不同频率荷载作用下从计算模型获得的挠度值。在这种情况下，对于持续时间短于0.04 s的荷载，考虑惯性力具有重要意义。在这种情况下，静态和动态分析的结果有很大差异。FWD测量结果的一个应用是通过反算确定路面层的刚度模量。该研究探讨了将惯性力纳入路面模型对通过反算获得的刚度模量估计值的影响。结果表明，使用动态和静态数值模型计算的刚度模量之间存在百分之几的差异。随后，使用获得的模量确定了关键路面变形和疲劳寿命。同样，在动态和静态情况下观察到了显著不同的结果。基于这些发现，可以得出结论，在使用FWD测试进行反算时，不应忽略动态效应。此外，本文还讨论了反算结果的敏感性，这对于准确解释所获得的数据至关重要。
