关键词: 桥梁工程, 压实均匀性, 实时监测, 定量评价, 加速度, 沥青桥面, 云计算

Abstract: In order to accurately evaluate the compaction uniformity of asphalt pavement and realize the real-time monitoring of compaction uniformity of vibratory roller based on cloud computing, the effective value of acceleration was analyzed as the evaluation index of compaction uniformity through laboratory test firstly. Based on the Yunnan Provincial Transportation Technology Fund Project, the acceleration signals of the test sections were collected by using the DH5902 dynamic data acquisition analyzer. The longitudinal compaction uniformity of different rolling passes was calculated and compared. The experimental results show that Sr, SR, k, h are statistical indicators, which can well reflect the compactness of asphalt pavement. With a certain number of rolling passes, the compaction uniformity is positively correlated with the number of rolling passes. When the number of rolling passes is fourth and seventh, the values of k and h are all within the critical value and the compaction uniformity reaches the best. The proposed detection method provides a basis for a new real-time monitoring system for compaction uniformity of asphalt bridge deck.

Key words: bridge engineering, compaction uniformity, real-time monitoring, quantitative evaluation, acceleration, asphalt bridge deck, cloud computing