...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation Research >Estimation of energy consumption on the tire-pavement interaction for asphalt mixtures with different surface properties using data mining techniques
【24h】

Estimation of energy consumption on the tire-pavement interaction for asphalt mixtures with different surface properties using data mining techniques

机译：使用数据挖掘技术估算不同表面特性的沥青混合料在轮胎-路面相互作用中的能耗

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

The energy or fuel consumption of the millions of vehicles that daily operate in road pavements has a significant economic and environmental impact on the use phase of road infrastructures regarding their life cycle analysis. Therefore, new solutions should be studied to reduce the vehicles energy consumption, namely due to the tire-pavement interaction, and contribute towards the sustainable development. This study aims at estimating the energy consumption due to the rolling resistance of tires moving over pavements with distinct surface characteristics. Thus, different types of asphalt mixtures were used in the surface course to determine the main parameters influencing the energy consumption. A laboratory scale prototype was developed explicitly for this evaluation. Data mining techniques were used to analyze the experimental results due to the complex correlation between the data collected during the tests, providing meaningful results. In particular, the artificial neural network allowed to obtain models with excellent capacity to estimate energy consumption. A sensitive analysis was carried out with a five input parameter model, which showed that the main parameters controlling the energy consumption are the vehicle speed and the mean texture depth.
机译：就其生命周期分析而言，每天在路面上行驶的数百万辆汽车的能源或燃料消耗对道路基础设施的使用阶段具有重大的经济和环境影响。因此，应研究新的解决方案以减少车辆的能源消耗，即由于轮胎-路面相互作用而产生的能量消耗，并有助于可持续发展。这项研究旨在估算由于轮胎在具有不同表面特性的人行道上行驶时的滚动阻力而导致的能耗。因此，在地面过程中使用了不同类型的沥青混合料，以确定影响能耗的主要参数。为此评估明确开发了实验室规模的原型。由于在测试过程中收集的数据之间存在复杂的相关性，因此使用数据挖掘技术来分析实验结果，从而提供有意义的结果。特别地，人工神经网络允许获得具有出色的估计能量消耗能力的模型。使用五个输入参数模型进行了敏感分析，结果表明控制能耗的主要参数是车速和平均纹理深度。

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