Stone mastic asphalt(SMA)has not been widely used in the pavement industry,and there are no detailed design specifications for this type of asphalt.Therefore,long-term behavior properties of this pavement type are not...Stone mastic asphalt(SMA)has not been widely used in the pavement industry,and there are no detailed design specifications for this type of asphalt.Therefore,long-term behavior properties of this pavement type are not accessible widely,and no model has been established for SMA regarding its performance.The main purpose of this study was to incorporate expert experience(using the Markov-chain process)and data from field experiments to propose a model for SMA performance using the Bayesian approach.The implementation of these sources resulted in a well-organized method to develop a performance model for SMA pavements,which did not have a long-term data.Finally,a linear performance model was established to calculate the SMA service life.The service life of SMA can be predicted explicitly according to the developed performance model which has been validated using a new set of data.展开更多
Sets of cold-filled SMA-13 asphalt mixture were designed by means of orthogonal design method. The bending and low temperature creep tests of the cold-filled SMA-13 asphalt mixture were carried out. The related models...Sets of cold-filled SMA-13 asphalt mixture were designed by means of orthogonal design method. The bending and low temperature creep tests of the cold-filled SMA-13 asphalt mixture were carried out. The related models of the fractal dimension and the road performance evaluation index including low temperature bending failure strain εB and bending strength RB are established by using fractal theory. The model can be used to predict the low temperature performance of cold-filled SMA-13 asphalt mixture according to the design gradation, which can reduce the test workload and improve the working efficiency, so as to provide the reference for engineering design.展开更多
文摘Stone mastic asphalt(SMA)has not been widely used in the pavement industry,and there are no detailed design specifications for this type of asphalt.Therefore,long-term behavior properties of this pavement type are not accessible widely,and no model has been established for SMA regarding its performance.The main purpose of this study was to incorporate expert experience(using the Markov-chain process)and data from field experiments to propose a model for SMA performance using the Bayesian approach.The implementation of these sources resulted in a well-organized method to develop a performance model for SMA pavements,which did not have a long-term data.Finally,a linear performance model was established to calculate the SMA service life.The service life of SMA can be predicted explicitly according to the developed performance model which has been validated using a new set of data.
文摘Sets of cold-filled SMA-13 asphalt mixture were designed by means of orthogonal design method. The bending and low temperature creep tests of the cold-filled SMA-13 asphalt mixture were carried out. The related models of the fractal dimension and the road performance evaluation index including low temperature bending failure strain εB and bending strength RB are established by using fractal theory. The model can be used to predict the low temperature performance of cold-filled SMA-13 asphalt mixture according to the design gradation, which can reduce the test workload and improve the working efficiency, so as to provide the reference for engineering design.