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A high speed profiler based slab curvature index for jointed concrete pavement curling and warping analysis.

机译:基于高速轮廓仪的板曲率指标,用于混凝土路面的翘曲和翘曲分析。

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摘要

One of the biggest gaps of missing knowledge between accurate structural modeling of concrete pavement slab behavior and real pavement behavior is accounting for slab warping (locked-in curvature and moisture gradient effects) and curling (temperature gradient effects). Curling and warping are curvatures that can be present in a PCC slab that can cause corners and edges, or mid panel, of the slab to lift off of the ground resulting in relatively high deflection and stress in the system. The least understood type of curvature in slabs is apparent locked-in curvature, which can become excessive and control the overall behavior of the pavement system.; This project is focused on quantifying slab curvatures and the effects of apparent locked-in curvature on the behavior and long-term performance of pavement systems. A high-speed profile analysis technique for detecting the amount of slab curvatures along pavement wheel paths is described. This signal processing technique can detect relatively small curvature variations in high-speed pavement elevation profiles obtained at normal highway operating speeds using special vehicles.; A resulting curvature detection algorithm is applied to the Federal Highway Administration (FHWA) Long Term Pavement Performance (LTPP) database high-speed pavement profiles for jointed concrete pavements. The range and nature of slab curvatures detected in the profiles is described. The calculated locked-in curvature at the various pavement sites is compared to LTPP database information to evaluate curvature effects on pavement deterioration rates and the relation between site parameters and locked-in curvature. The significance of slab curvature is shown through statistics and predictive models developed for various pavement distress modes. It is shown that the amount of curvature locked into concrete slabs is one of the strongest factors in the FHWA LTPP data correlated to deterioration of pavements.; This study shows that preventing locked-in slab curvature should be a top priority for PCC slabs in highway applications. The profile analysis routine and distress prediction models developed will be valuable tools for pavement designers, managers, and researchers.
机译:准确的混凝土路面板结构行为模型与实际路面结构模型之间缺少知识的最大差距之一,是要考虑板的翘曲(锁定的曲率和湿度梯度效应)和卷曲(温度梯度效应)。弯曲和翘曲是可能在PCC平板中出现的曲率,可导致平板的拐角和边缘或中间面板抬离地面,从而导致系统中较高的挠度和应力。板中曲率最不被理解的类型是明显的锁定曲率,它可能变得过大并控制了路面系统的整体性能。该项目的重点是量化楼板曲率以及表观锁定曲率对路面系统的性能和长期性能的影响。描述了一种用于检测沿路面车轮路径的平板弯曲度的高速轮廓分析技术。这种信号处理技术可以检测到使用特殊车辆在正常公路行驶速度下获得的高速路面高程剖面中相对较小的曲率变化。由此产生的曲率检测算法已应用于联邦公路管理局(FHWA)的长期路面性能(LTPP)数据库连接混凝土路面的高速路面轮廓。描述了在轮廓中检测到的平板曲率的范围和性质。将计算得出的各种路面处的锁定曲率与LTPP数据库信息进行比较,以评估曲率对路面劣化率的影响以及站点参数与锁定曲率之间的关系。通过为各种路面遇险模式开发的统计数据和预测模型,可以显示板曲率的重要性。结果表明,锁定在混凝土板中的曲率是FHWA LTPP数据中与路面恶化相关的最强因素之一。这项研究表明,对于公路应用中的PCC板而言,防止板坯弯曲的翘曲应该是重中之重。开发的轮廓分析例程和病害预测模型将是路面设计者,经理和研究人员的宝贵工具。

著录项

  • 作者

    Byrum, Christopher Ronald.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Engineering Civil.; Geotechnology.; Engineering Materials Science.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 238 p.
  • 总页数 238
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;地质学;工程材料学;
  • 关键词

  • 入库时间 2022-08-17 11:47:07

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