钢桥面浇注式+SMA组合结构车辙变形深度预估

为了阐明浇注式沥青混合料室内60℃车辙试验结果与实体工程应用中表现出的高温稳定性不一致的原因,揭示钢桥面浇注式沥青混合料+改性沥青SM A组合结构车辙变形发展规律,采用理论研究与工程应用相结合的方法,以马鞍山长江公路大桥为依托,采用建设期现场铺装用沥青混合料成型试件,进行了40℃、60℃、70℃温度条件下、接地压强为0...

Prediction of Rutting Depth of Steel Bridge Deck Pavement Composite Structure Using Gussasphalt + SMA

The stability dynamic rutting test of Gussasphalt mixture at 60 ℃ is very low (<1 000/times). However, in engineering cases, high temperature rutting problem is rarely observed. To investigate the mechanism of this phenomenon, the rutting deformation law of Gussasphalt + Stone Mastic Asphalt (GA+SMA) combined pavement structure was studied using a combination of theoretical research and engineering applications. On the basis of Ma'anshan Yangtze River Highway Bridge project, the test specimens were formed with asphalt mixture on site during the construction period of steel bridge deck pavement, and rutting test was conducted at temperatures of 40 ℃, 60 ℃, and 70 ℃ and grounding pressures of 0.5 MPa, 0.7 MPa, and 1.0 MPa. A functional relationship is built between the rutting depth and the temperature/grounding pressure/action times. Based on the finite element analysis and the shear strength test of the mixture, shear performance parameters under different temperatures and grounding pressures are proposed, and the rutting depth prediction model related to the temperature, load action times, and shear performance parameters was built. According to the temperature field and axle load spectrum of Ma'anshan Yangtze River Highway Bridge, statistics of axle load action times and calculation of rutting depth were carried out according to different temperatures and load internal, and the prediction model is verified using the rut of Ma'anshan Yangtze River Highway Bridge. The results show that the rut depth has a significant exponential function with the number of loads, and a significant power function with temperature and shear performance parameters. The rutting depth calculated by the prediction model is consistent with the measured results in previous years, and it is proposed that the rutting depth will be 2.354 mm at the end of the designed service life of 15 years. This study presents a prediction model capable of predicting rutting damage depth based on bridge structure, paving materials, traffic conditions, and weather conditions. The establishment of this prediction model plays an important role in guiding the design of gussasphalt paving for steel bridge deck in China.