| 引用本文: | 杨文臣,李新凯,田毕江,胡澄宇,陈亮亮.刚性路面结构参数反演弯沉盆衍生指标法综合分析[J].哈尔滨工业大学学报,2018,50(9):47.DOI:10.11918/j.issn.0367-6234.201707120 |
| YANG Wenchen,LI Xinkai,TIAN Bijiang,HU Chengyu,CHEN Liangliang.Comprehensive analysis of derived indicators of deflection basin for back-calculation of rigid pavement parameters[J].Journal of Harbin Institute of Technology,2018,50(9):47.DOI:10.11918/j.issn.0367-6234.201707120 |
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| 刚性路面结构参数反演弯沉盆衍生指标法综合分析 |
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杨文臣1,李新凯2,田毕江1,胡澄宇1,陈亮亮1,2
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(1.陆地交通气象灾害防治技术国家工程实验室(云南省交通规划设计研究院),昆明 650041; 2.哈尔滨工业大学 交通科学与工程学院,哈尔滨150090)
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| 摘要: |
| 为解决刚性路面结构参数反演方法的适用性问题，综合分析刚性路面结构参数反演中3类代表性的弯沉盆衍生指标法.在系统梳理弯沉盆面积指数法、惰性点法、弯沉盆重心距离法的模型体系的基础上，采用理论数值分析的方法，定量分析3类衍生指标的规律特性，并从工程适用的简单、易操作性出发，提出惰性点法的计算图表和弯沉盆面积指数法及重心距离法的回归公式.以典型的刚性道面结构形式为例，对比分析3类弯沉盆衍生指标法的参数反演结果的准确性和鲁棒性，检验所提出模型或图表的有效性.计算结果表明：提出的计算图表或公式大幅简化了参数反演中衍生指标的计算，3种衍生指标法的参数反演结果存在明显差异，弯沉盆重心距离法充分利用各测点的信息并以拟合误差最小化为原则，显著提高参数反演的精确性和鲁棒性.
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| 关键词: 道路工程 刚性路面 弯沉盆 参数反演 衍生指标 关系模型 |
| DOI：10.11918/j.issn.0367-6234.201707120 |
| 分类号:U416.2 |
| 文献标识码:A |
| 基金项目:国家自然科学基金青年科学基金(51108140)； 云南省应用基础研究计划面上项目(2016FB099)； 中国博士后科学基金面上资助项目(2014M560266) |
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| Comprehensive analysis of derived indicators of deflection basin for back-calculation of rigid pavement parameters |
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YANG Wenchen1,LI Xinkai2,TIAN Bijiang1,HU Chengyu1,CHEN Liangliang1,2
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(1. National Engineering Laboratory for Surface Transportation Weather Impacts Prevention (Broadvision Engineering Consultants), Kunming 650031, China; 2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)
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| Abstract: |
| In order to improve the applicability of back-calculation methods of rigid pavement parameters, this research presents comprehensive analysis of three representative derived indicators of deflection basin for back-calculation of rigid pavement parameters. By systematic analysis and modelling of AREA, intertial point (IP) and Barycentric Horizontal Distance (BHD) method in the ILLI-BACK, the distribution laws of these three methods were investigated quantitatively using numerical analysis, and the nomograph of IP and regression formulas of AREA and BHD were developed respectively to improve the applicability in the practice. Taking typical rigid pavement structure as an example, the accuracy and robustness of three comparative back-calculation methods were verified. Results showed that the back-calculation were greatly simplified using the nomograph and regression formulas. The back-calculation results based on three comparative methods exhibited remarkable difference. BHD significantly improved the accuracy and robustness in back-calculation of rigid pavement parameters by making full use of measurement information at all the sensors and minimizing the fitting error.
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| Key words: road engineering rigid pavement deflection basin parameter back-calculation derived indicators relational model |
