基于激光轮廓检测仪的沥青路面质量均匀性评价方法研究

发布时间：2018-06-26 19:08

本文选题：沥青路面 + 激光轮廓检测仪　；参考：《华南理工大学》2014年硕士论文

【摘要】：现阶段我国沥青混凝土路面普遍存在较为突出的早期病害，需要耗费大量的资金进行维修养护，究其原因，主要是作为颗粒离散性材料的沥青混合料在施工中，常常伴随着表面离析、竖向离析等各类质量离析问题，这些质量不均匀的情况极易导致路面的坑槽、松散等。鉴于混合料离析常常会在路面外观上就能够被体现出来，所以，沥青路面的路表质量均匀性，作为一项快速、直观和重要的指标，在沥青路面质量控制中占有很重要的地位，而离析程度作为路表质量均匀性的表现方式可以通过路表轮廓特征直观的体现出来。本文尝试基于自主研发的激光轮廓检测系统对沥青路面路表质量均匀性进行监控评价，试图通过激光轮廓检测仪对沥青路面进行实测，描述出沥青路面的表面轮廓特征，从而判断其离析程度，以达到评价其质量均匀性的目的。基于以上目的，本文从沥青路面的路表轮廓特征出发，提出评价指标并试图通过激光轮廓检测仪寻找适合的测量方案和数据处理办法以客观真实的描述路表轮廓特征，以室内试验验证比选合适的评价指标并依托于工程实践展开路面质量均匀性的评价研究。首先，根据沥青路面表面轮廓特征的特点提出几种评价指标及其计算模型，利用激光轮廓检测仪采用小间距、多条线的测量理念，试图从整体区域的概念出发来描述路表轮廓特征，通过Matlab软件对测量数据进行处理计算，，得到相应的评价指标值。其次，通过室内试验模拟不同轮廓特征的沥青路面，从稳定性，规律体现性和规范指标相关性几个方面对几种评价指标进行比选分析，得出基于统计和铺砂法的计算模型衍生出的指标较能客观真实评价沥青路面表面轮廓特征的结论。最后，依托工程实践，利用比选出的描述沥青路面路表轮廓特征的评价指标，对路表质量均匀性展开评价研究，采用离析评价的分类界限，对实际路面的离析状态进行分析，体现出了摊铺机两端以及摊铺收斗所造成的离析，验证了激光轮廓检测系统对于沥青路面质量均匀性的评价方法。
[Abstract]:At present, there are more prominent early diseases in the asphalt concrete pavement in our country. It is necessary to spend a lot of money on maintenance and maintenance. The main reason is that as the asphalt mixture of granular material in the construction, it is often accompanied by surface segregation, vertical segregation and other quality segregation problems, and these quality are not uniform. The condition of the pavement is very easy to lead to the pits and looseness of the pavement. In view of the mixture segregation often can be reflected on the surface of the pavement, the quality uniformity of the road surface of the asphalt pavement, as a fast, intuitive and important index, occupies a very important position in the quality control of the asphalt pavement, and the degree of segregation is the quality uniformity of the road surface. In this paper, the quality uniformity of the asphalt pavement surface is monitored and evaluated based on the laser contour detection system based on the independent research and development. This paper tries to measure the asphalt pavement through the laser profile testing instrument and describe the surface profile characteristics of the asphalt pavement, so as to judge the surface profile of the asphalt pavement. The degree of segregation is achieved in order to evaluate the uniformity of its quality.
Based on the above purpose, this paper, starting from the profile features of the asphalt pavement, puts forward the evaluation index and tries to find the suitable measurement scheme and data processing method through the laser profile detector to objectively and truly describe the contour features of the road surface. Evaluation of quality uniformity.
Firstly, according to the characteristics of the surface profile of asphalt pavement, several evaluation indexes and their calculation models are put forward. Using the concept of small distance and multiple lines, the characteristics of the road surface contour are described from the concept of the whole area. The measurement data are processed and calculated by the Matlab software, and the corresponding evaluation is obtained. Price index value.
Secondly, the asphalt pavement with different contour characteristics is simulated by indoor test, and several evaluation indexes are selected and analyzed from several aspects of stability, law embodiment and standard index correlation. It is concluded that the index derived from the calculation model based on statistics and sand laying method can objectively and truly evaluate the surface profile characteristics of asphalt pavement.
Finally, based on the engineering practice, the evaluation of the quality uniformity of the road surface is studied by using the evaluation index which is selected to describe the profile of the asphalt pavement surface. The analysis of the segregation of the actual pavement is carried out by using the classification boundary of the segregation evaluation, which shows the segregation caused by the two ends of the paver and the paving bucket, and the laser wheel is verified. Profile evaluation system for asphalt pavement quality uniformity evaluation method.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U416.217

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