Evaluating the influence of volumetric properties on back-calculated asphalt layer moduli using falling weight deflectometer data

IF 4.8 Q2 TRANSPORTATION International Journal of Transportation Science and Technology Pub Date : 2025-06-01 Epub Date: 2024-06-01 DOI:10.1016/j.ijtst.2024.05.009
Varsha Ravindra Harne , Rajesh Kumar Tripathi , Sunny Deol Guzzarlapudi
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Abstract

The back-calculation process performed in pavement systems is the numerical analysis of captured deflections for estimating layer stiffness parameters. The prediction of fatigue performance in terms of back-calculated asphalt layer moduli by using a falling weight deflectometer (FWD) has specific challenges in terms of testing protocol, skillset, and complex back-calculation analysis. The performance of the asphalt layer is primarily governed by extrinsic parameters such as temperature, vehicular transient loading characteristics, moisture content, and intrinsic parameters such as binder properties and aggregate mix properties. The role of volumetric properties of asphalt mixes contributes significantly to the back-calculated asphalt layer moduli in terms of the overall life of the structure. The asphalt layer moduli are dependent on the traditional volumetric properties of asphalt mixes such as air voids in the mix (AVIM), voids in mineral aggregate (VMA), the percentage of bitumen content (PBM), and voids filled with asphalt (VFA). In this study, a total of 60 in-service pavement sections are identified from three different categories of roads to perform FWD tests and collection of asphalt layer core samples. A detailed laboratory investigation is carried out to estimate the volumetric properties of different core samples. This study uses field investigations to determine the degree of interdependency between the volumetric characteristics of asphalt mixtures and temperature on the back-calculated layer moduli. Furthermore, the findings from this study are utilized to establish several correlations at the aggregate level, demonstrating strong relationships with R2 values ranging from 0.84 to 0.875. The developed model is validated and depicted in good agreement with the actual values.
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"利用落锤式偏转仪数据评估体积特性对反算沥青层模量的影响"
在路面系统中进行的反计算过程是对捕获的挠度进行数值分析,以估计层的刚度参数。使用降重偏转仪(FWD)根据反计算沥青层模量来预测疲劳性能,在测试方案、技能和复杂的反计算分析方面面临着特殊的挑战。沥青层的性能主要受外部参数(如温度、车辆瞬态加载特性、含水率)和内部参数(如粘结剂性能和骨料混合料性能)的支配。沥青混合料的体积特性对结构整体寿命的后算沥青层模量有重要影响。沥青层模量取决于沥青混合料的传统体积特性,如混合料中的空气空隙率(AVIM)、矿物集料中的空隙率(VMA)、沥青含量百分比(PBM)和沥青填充空隙率(VFA)。在本研究中,从三种不同类型的道路中选取60个在用路面路段进行FWD测试和沥青层芯样采集。进行了详细的实验室调查,以估计不同岩心样品的体积性质。本研究采用实地调查来确定沥青混合料的体积特性和温度对后算层模量的相互依赖程度。此外,本研究的结果被用于在总体水平上建立几个相关性,表明R2值在0.84至0.875之间具有很强的相关性。所开发的模型经过验证和描述,与实际值非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Transportation Science and Technology
International Journal of Transportation Science and Technology Engineering-Civil and Structural Engineering
CiteScore
7.20
自引率
0.00%
发文量
105
审稿时长
88 days
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