当前位置: X-MOL 学术NDT E Int. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Integration of non-destructive testing methods to assess asphalt pavement thickness
NDT & E International ( IF 4.2 ) Pub Date : 2020-05-05 , DOI: 10.1016/j.ndteint.2020.102292
Christina Plati , Andreas Loizos , Konstantinos Gkyrtis

The pavement engineering community has consistently drawn its attention to a broadened utilization of advanced Non-Destructive Testing (NDT) systems for pavement evaluation. Amongst these systems, the Falling Weight Deflectometer (FWD) is designed to measure surface deflections and assess the pavement structural condition, while Ground Penetrating Radar (GPR) is utilized to estimate pavement layers’ thicknesses. An integration of the capabilities of these two separate systems has been considered a powerful resource in pavement evaluation. With this in mind, the present study aims to investigate whether this integration could result in the utilization of the derived FWD deflection data to directly assess pavement layers thicknesses. For the research, an integrated regression analysis is conducted considering both GPR and FWD data with the aim to develop a relationship between GPR-estimated AC thicknesses and FWD deflection indexes. The developed relationship is calibrated considering both GPR and core thicknesses and further validated yielding an equivalent and satisfactory performance, with thickness prediction errors around 10%. This finding produces evidence in support of the statement that deflection data is capable of roughly producing pavement layer thicknesses. Such an approach could suggest a practical and cost-effective pavement evaluation tool, when the procurement and transportation logistics of implementing multiple and expensive equipment may be a critical issue.



中文翻译:

整合无损检测方法以评估沥青路面厚度

路面工程界一直将注意力集中在广泛使用先进的无损检测(NDT)系统进行路面评估上。在这些系统中,落锤挠度计(FWD)用于测量表面挠度并评估路面结构状况,而探地雷达(GPR)用于估算路面层的厚度。这两个独立系统功能的集成被认为是路面评估的强大资源。考虑到这一点,本研究旨在研究这种整合是否会导致利用导出的FWD挠度数据直接评估路面层的厚度。为了研究 结合GPR和FWD数据进行了综合回归分析,旨在建立GPR估算的交流厚度和FWD挠度指数之间的关系。对所开发的关系进行了校准,同时考虑了GPR和芯部厚度,并进一步验证了其等效性和令人满意的性能,厚度预测误差约为10%。这一发现提供了证据证明挠度数据能够大致产生路面厚度。当实施多种昂贵设备的采购和运输物流可能是一个关键问题时,这种方法可能建议一种实用且具有成本效益的路面评估工具。对开发的关系进行了校准,同时考虑了GPR和芯部厚度,并进一步验证了其等效性和令人满意的性能,厚度预测误差约为10%。这一发现提供了证据支持挠度数据能够大致产生路面层厚度的说法。当实施多种昂贵设备的采购和运输物流可能是一个关键问题时,这种方法可能建议一种实用且具有成本效益的路面评估工具。对所开发的关系进行了校准,同时考虑了GPR和芯部厚度,并进一步验证了其等效性和令人满意的性能,厚度预测误差约为10%。这一发现提供了证据支持挠度数据能够大致产生路面层厚度的说法。当实施多种昂贵设备的采购和运输物流可能是一个关键问题时,这种方法可能建议一种实用且具有成本效益的路面评估工具。这一发现提供了证据支持挠度数据能够大致产生路面层厚度的说法。当实施多种昂贵设备的采购和运输物流可能是一个关键问题时,这种方法可能建议一种实用且具有成本效益的路面评估工具。这一发现提供了证据支持挠度数据能够大致产生路面层厚度的说法。当实施多种昂贵设备的采购和运输物流可能是一个关键问题时,这种方法可能建议一种实用且具有成本效益的路面评估工具。

更新日期:2020-05-05
down
wechat
bug