Massive Vector Form Intrinsic Finite Element Behavior Data Lossless Compression Model

Abstract:

The behavior data of vector form intrinsic finite element computing has a large size as well as high accuracy, which become the bottleneck of data transmission and read that based on web. In order to resolve the problem. According to the characteristics of redundancy and the internal relations of behavior data, a mathematic model for the behavior data is proposed and according to the model, a lossless compression model is put forward by deleting and merging the redundancy data. In the end, an efficient compression algorithm is given based on the model. Experiment indicates that the algorithm greatly compresses size of behavior data and accelerates the load speed of data. The decompressed file can be restored to the original data and the accuracy of behavior data doesn’t be affected at all.