A Compaction Quality Evaluation Method For High Embankment In Airport

In order to meet the requirements of economic and defense strategy,a large number of mountain regional airports are under construction and planning to be built in China.And these airports are mostly filled with a large amount of high fillings.As for the earth compaction,the usual method is: compact with the impact rolling;reinforce the special position by dynamic compaction.At present,some researchers have done a lot of work of the impact roller in many aspects,such as the physical parameters,construction method and compaction mechanism.But there isn’t a real-time evaluation method which can consider its actual size,additional stress diffusion and other factors comprehensively.In this paper,based on the existing theory and an original system a real-time monitoring system of the airport high-fill compaction quality based on cloud radiation-we carry out the following work:Firstly,we developed the function of real-time monitoring and historical query to supervise and control compaction speed in the construction process.Secondly,we present an evaluation method of airport high-fill compaction quality and put forward a concept of reference surface.Our study is based on the standard compaction method,and uses “The Technical Guidelines for Application of Road Impact Rolling” as a reference.In this kind of evaluation method,we use the additional stress superposition value as an index to evaluate the filling situation in the filling layer.In addition,the compaction parameters can be used as an index to evaluate the overall compaction.Thirdly,on the basis of second part mentioned above,the following functions are achieved.We finally complete the real-time updating of the compacted parameters on the gridded work surface.It is achieved by optimizing the algorithm and the database query algorithm.In addition,we use the double grid structure and self-encoding storage method to compress the data.Furthermore,we complete the function of 2-D and 3-D images display and section analysis,which realize the preliminary mining of the data.