Abstract
With the increase in the size of simulation results database, it has become a big challenge to transfer large data between different locations. In this study, we have developed a data compression method based on tensor compression. Voxel simulation results data are represented as third-order tensors and a tensor decomposition algorithm based on HOOI is applied to the tensors. After tensor decompression, the original tensor is decomposed into a core tensor and a series of basis matrices, whose summed size is considerably smaller than that of the original tensor. As a result, a compression ratio of over 60:1 is achieved for steady flow simulation and the error is below 5%. A compression ratio of over 70:1 is achieved for unsteady flow simulation and the error is below 5%. We have confirmed that no significant information is lost during the data compression process.
