Abstract

In the space-borne gravitational wave (GW) detection mission, the self-gravity noise caused by the deformation and residual jitter of the satellite platform is an important source of the total acceleration noise. In order to estimate the magnitude of the noise, the gravity acceleration and gravity gradient at the TM need to be carefully evaluated, which requires high accuracy of the self-gravity simulation. After the satellite component is divided into several mass cells by using the grid generation technology, if the number of cells is too small, the total gravity and gravity gradient obtained by superimposing the gravity between each cell and the TM will deviate greatly from the true value. On the other hand, directly densifying all single cells will produce a large number of new cells, reducing the simulation efficiency. Aiming at these problems, we present here the self-gravity simulation method based on distance-controlled grid refinement, analysis of subdivision unit size, unit and the distance between the test quality and the relationship between the simulation error, select the appropriate scaling factor to encrypt the initial mesh. It is expected to reduce the number of units on the premise of meeting the precision requirements of self-gravity simulation and then improve the simulation efficiency. The model test shows that when the grid cells are hexahedral, compared with simulation results using uniformly mesh encryption, the accuracy of the self-gravity simulation results based on distance-controlled is an order of magnitude higher, and the total number of grid cells used is less.

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