...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of materials in civil engineering >Prediction of Fatigue Life of Rubberized Asphalt Concrete Mixtures Containing Reclaimed Asphalt Pavement Using Artificial Neural Networks
【24h】

Prediction of Fatigue Life of Rubberized Asphalt Concrete Mixtures Containing Reclaimed Asphalt Pavement Using Artificial Neural Networks

机译：含再生沥青路面的橡胶沥青混凝土混合物疲劳寿命的人工神经网络预测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Accurate prediction of the fatigue life of asphalt mixtures is a difficult task due to the complex nature of materials behavior under various loading and environmental conditions. This study explores the utilization of an artificial neural network (ANN) in predicting the fatigue life of rubberized asphalt concrete mixtures containing reclaimed asphalt pavement (RAP). Over 190 fatigue beams were made with two different rubber types (ambient and cryogenic), two different RAP sources, four rubber contents (0, 5, 10, and 15%), and tested at two different testing temperatures of 5 and 20℃. The data were organized into nine or 10 independent variables covering the material engineering properties of the fatigue beams and one dependent variable, the ultimate fatigue life of the modified mixtures. The traditional statistical method was also used to predict the fatigue life of these mixtures. The results of this study showed that the ANN techniques are more effective in predicting the fatigue life of the modified mixtures tested in this study than the traditional statistical-based prediction models.
机译：由于材料在各种载荷和环境条件下的行为具有复杂性，因此准确预测沥青混合料的疲劳寿命是一项艰巨的任务。本研究探索了人工神经网络（ANN）在预测含再生沥青路面（RAP）的橡胶沥青混凝土混合物的疲劳寿命中的用途。用两种不同的橡胶类型（环境和低温），两种不同的RAP来源，四种橡胶含量（0％，5％，10％和15％）制成了190多个疲劳梁，并在5和20℃的两个不同测试温度下进行了测试。数据被组织成九个或十个独立变量，涵盖疲劳梁的材料工程特性和一个因变量，即改性混合物的最终疲劳寿命。传统的统计方法也被用来预测这些混合物的疲劳寿命。这项研究的结果表明，与传统的基于统计的预测模型相比，人工神经网络技术可以更有效地预测本研究中测试的改性混合物的疲劳寿命。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号