基于神經(jīng)網(wǎng)絡(luò)的高速公路瀝青路面預(yù)防性養(yǎng)護(hù)預(yù)測(cè)模型研究
[Abstract]:Since 1980s, highway construction has entered a period of high tide. By the beginning of 2012, the total distance of highway in China has reached 85,000 kilometers, and the asphalt pavement accounts for about 85%. However, with the prolongation of the service life of the highway, the performance of asphalt pavement decreases continuously under the influence of environment and driving load. Therefore, it is more and more difficult to maintain more and more projects. Under this condition, highway preventive maintenance is particularly important. In order to achieve efficient, scientific and economical maintenance, to meet the needs of both highway managers and highway users, and to ensure the performance of the highway, it is necessary to carry out preventive maintenance of the road surface. Pavement preventive maintenance is to use reasonable means to maintain the relevant pavement in a suitable period, and to prevent the small disease of the pavement, and then get the effective treatment. Preventive maintenance makes the pavement not easy to produce major diseases, can maintain the good performance of pavement, save the maintenance time and funds. Firstly, the concept of preventive maintenance of expressway is given, and the significance of preventive maintenance of asphalt pavement is given, and the principles and characteristics of preventive maintenance are pointed out. Thirdly, starting from the causes and types of pavement diseases, this study points out the characteristics of preventive maintenance standards and related technologies in micro-and macro-standards, and briefly introduces the micro-surfacing, gravel seal and slurry sealing techniques, and so on. The choice of preventive maintenance technology, including maintenance measures and maintenance timing, is studied in order to ensure the performance of pavement. Finally, according to the advantages and disadvantages of domestic and foreign asphalt pavement performance prediction model, the BP network model of neural network is used to establish the highway preventive maintenance performance prediction model which is suitable for this paper, and the result is very good.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U418.6;U416.217
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