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首页> 外文期刊>The international journal of pavement engineering >Evaluating the recycled pavement performance and layer moduli at variable temperature by nondestructive tests
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Evaluating the recycled pavement performance and layer moduli at variable temperature by nondestructive tests

机译：通过非破坏性测试评估可变温度下再生路面性能和层模

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摘要

This study has focused on the response of cold recycled asphalt layer with bitumen emulsion and cement using the falling weight deflectometer (FWD) and laboratory test at variable temperature conditions. In this regard, Semnan-Damghan highway has been considered as the case study. Nondestructive tests including FWD and ground penetrating radar (GPR) were performed to estimate the layers elastic moduli and thickness. The backcalculation analysis was accomplished using the ELMOD software. Also, a backcalculation analysis method has been proposed by implementing a code by BASIC programming language. Destructive tests were performed by sampling in some of the studied stations. Indirect tensile stiffness modulus and triaxial tests were accomplished to measure the bound and unbound layer moduli in the laboratory, respectively. Since the recycled layer contained two binders including bitumen emulsion and cement, the dependency of its behaviour to temperature was to some extent different from hot mix asphalt. At the final stage, the temperature correction coefficients were determined for the materials studied in the current research study. The precision of results obtained from these coefficients were compared with those presented in the literature. Accordingly, the presented correction coefficients resulted in a more precise moduli estimation than previous temperature correction models.
机译：本研究专注于使用下降重量偏转仪（FWD）和在可变温度条件下使用沥青乳液和水泥的冷再生沥青层与沥青乳液和水泥的响应。在这方面，半南大山高速公路被认为是案例研究。进行包括FWD和地面穿透雷达（GPR）的非破坏性测试以估计层弹性模量和厚度。使用ELMOD软件完成后划分分析。此外，通过基本编程语言实施代码，提出了一种反致分析方法。通过在一些研究的站中取样来进行破坏性测试。完成间接拉伸刚度模量和三轴试验以分别测量实验室中的结合和未结合的模量。由于再生层含有两种粘合剂，包括沥青乳液和水泥，因此其行为对温度的依赖性在一定程度上与热混合物沥青不同。在最终阶段，确定在当前研究研究中研究的材料的温度校正系数。将从这些系数获得的结果的精度与文献中呈现的那些进行比较。因此，所呈现的校正系数导致比先前的温度校正模型更精确的模数估计。

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