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Development of fatigue predictive models of rubberized asphalt concrete (RAC) containing reclaimed asphalt pavement (RAP) mixtures.

机译:开发含再生沥青路面(RAP)混合物的橡胶沥青混凝土(RAC)的疲劳预测模型。

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摘要

In recent years, some by-products such as crumb rubber has been used to save money, protect the environment, and extend the life of asphalt pavements. In addition, the utilization of reclaimed asphalt pavement (RAP) is an acceptable practice in many states around the United States and many countries all over the world. However, the use of RAP containing crumb rubber has not been investigated in great detail, so it is essential to explore whether these materials have a positive effect on the fatigue life of asphalt pavement. In general, previous experience shows that the use of RAP has proven to be cost-effective, environmentally sound, and successful in improving some of the engineering properties of asphalt mixtures. Crumb rubber has also been used successfully in improving the mechanical characteristics of hot mix asphalt (HMA) mixtures in many parts of the world.; Fatigue is considered to be one of the most significant distress modes in any flexible pavement which is subjected to repeated traffic loading or stress. Several researchers, for the last two decades, have developed some fatigue predictive models that predict the fatigue life of asphalt mixture in the laboratory and even in the field. However, there are no research studies in the area of developing prediction models for mixtures containing crumb rubber and RAP.; For this research study, A total of 39 mix designs, including two types of aggregate source, were made and tested to perform fatigue analysis and modeling. Superpave mix design procedures were used for preparation of fatigue testing specimens.; The major objective of this study was to develop a mathematical model to predict the fatigue life of rubberized asphalt concrete containing RAP and included: (1) evaluating the performance of the modified binder and mixture in the laboratory; (2) measuring the fatigue life, stiffness and dissipated energy of the fatigue specimens; (3) developing the mathematical model to predict the fatigue life of the modified composite using the conventional statistical regression analysis and artificial neural network (ANN) approaches; (4) validating the fatigue predictive models using modified mixtures made from a second aggregate source.; The following conclusions were drawn based on the laboratory investigation: (1) the use of crumb rubber is effective in improving the aging resistance of rubberized asphalt concrete, (2) the addition of RAP decreased the virgin asphalt content and increased the ITS values, (3) the developed specific regression models predicted a reasonable fatigue response of mixture, and the measured and predicted fatigue values were found to be close regardless of the crumb rubber, RAP content, and even testing conditions, (4) ANN approach has been shown to be effective in performing fatigue testing data of mixture and the established ANN model was able to predict fatigue occurrence accurately.
机译:近年来,一些副产品(例如碎橡胶)已被用于省钱,保护环境和延长沥青路面的使用寿命。此外,在美国许多州和世界上许多国家,使用再生沥青路面(RAP)是可以接受的做法。但是,尚未详细研究含RAP的胶粉的使用,因此有必要探讨这些材料是否对沥青路面的疲劳寿命有积极影响。通常,以前的经验表明,使用RAP已被证明具有成本效益,对环境无害,并且在改善沥青混合料的某些工程性能方面取得了成功。粒状橡胶也已成功用于改善世界许多地方的热拌沥青(HMA)混合物的机械性能。在任何反复承受交通负荷或压力的柔性路面中,疲劳被认为是最重要的窘境之一。在过去的二十年中,几位研究人员开发了一些疲劳预测模型,这些模型可以预测沥青混合物在实验室乃至现场的疲劳寿命。但是,在开发含碎橡胶和RAP的混合物的预测模型方面尚无研究。对于本研究,总共进行了39种混合设计,包括两种类型的骨料来源,并进行了测试,以进行疲劳分析和建模。用Superpave混合料设计程序制备疲劳试验样品。这项研究的主要目的是建立一个数学模型来预测含RAP的橡胶沥青混凝土的疲劳寿命,其中包括:(1)在实验室中评估改性粘结剂和混合物的性能; (2)测量疲劳试样的疲劳寿命,刚度和耗散能; (3)使用传统的统计回归分析和人工神经网络(ANN)方法开发数学模型以预测改性复合材料的疲劳寿命; (4)使用由第二种骨料来源制成的改良混合物验证疲劳预测模型。根据实验室研究得出以下结论:(1)使用碎橡胶可以有效地改善橡胶沥青混凝土的抗老化性;(2)添加RAP可以降低原始沥青含量并提高ITS值,( 3)开发的特定回归模型可预测混合物的合理疲劳响应,并且无论胶粒,RAP含量,甚至测试条件如何,测量和预测的疲劳值都接近,(4)已证明ANN方法可以能够有效地执行混合物的疲劳测试数据,并且所建立的ANN模型能够准确预测疲劳的发生。

著录项

  • 作者

    Xiao, Feipeng.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 212 p.
  • 总页数 212
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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