Variation of FWD modulus due to incorporation of GPR predicted laye thicknesses

M. Ahmed, R. Tarefder, A. Maji
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引用次数: 5

Abstract

Accurate pavement material identification and layer thickness determination are indispensable in a backcalculation of layer moduli from Falling Weight Deflectometer (FWD) test. Conventionally, pavement layer material and thickness are incorporated in the FWD data analysis as collected from design history or coring. However, coring at every FWD test locations is expensive and time-consuming. It is prudent for any state agency to adopt the Ground Penetrating Radar (GPR) technology to identify materials in different layer of pavement and their as-built thicknesses. This study examines the accuracy of backcalculation of layer moduli from FWD test using GPR data. In this study, FWD test is conducted on pavement section at Milepost 141 on Interstate 40 (I-40) near Albuquerque, New Mexico. The backcalculation analysis is performed using the layer thicknesses as collected from the design history. Later, GPR is used to predict the as-built layer thicknesses of this section. Pavement layer moduli are again backcalculated using the GPR predicted thicknesses. It is observed that incorporation of as-built thicknesses in backcalculation process leads to a significant difference in predicted layer moduli. Therefore, a recommendation is made to conduct simultaneous operation of GPR and FWD test for pavement analysis and design.
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由于GPR预测层厚的加入而引起的FWD模量的变化
准确的路面材料识别和层厚的确定是反算落锤试验层模量的必要条件。按照惯例,铺装层的材料和厚度会被纳入富卫署的数据分析,这些数据是从设计历史或取心中收集的。然而,在每个FWD测试点取心既昂贵又耗时。对于任何国家机构来说,采用探地雷达(GPR)技术来识别不同路面层的材料及其施工厚度都是谨慎的。本文利用探地雷达数据,检验了FWD试验反演层模量的准确性。在这项研究中,FWD测试在新墨西哥州阿尔伯克基附近的40号州际公路(I-40)的141号公路路段进行。使用从设计历史中收集的层厚度进行反计算分析。然后利用探地雷达对该剖面的建成层厚度进行预测。路面层模量再次使用探地雷达预测厚度反计算。观察到,在反计算过程中加入实际厚度会导致预测层模量的显著差异。因此,建议在路面分析和设计中同时进行探地雷达和FWD试验。
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