TY - EJOU
AU - Hamada, S.
TI - Voxel-based Analysis of Electrostatic Fields in Virtual-human Model Duke using Indirect Boundary Element Method with Fast Multipole Method
T2 - Computer Modeling in Engineering \& Sciences
PY - 2014
VL - 102
IS - 5
SN - 1526-1506
AB - The voxel-based indirect boundary element method (IBEM) combined with the Laplace-kernel fast multipole method (FMM) is capable of analyzing relatively large-scale problems. A typical application of the IBEM is the electric field analysis in virtual-human models such as the model called Duke provided by the foundation for research on information technologies in society (ITâ€™IS Foundation). An important property of voxel-version Duke models is that they have various voxel sizes but the same structural feature. This property is useful for examining the O(*N*) and O(*D*^{2}) dependencies of the calculation times and the amount of memory required by the FMM-IBEM, where *N* and *D* are the number of boundary elements and the reciprocal of the voxel-side length, respectively. In this paper, the dependencies were confirmed by analyzing Duke models with voxel-side lengths of 5.0, 2.0, 1.0, and 0.5 mm. The finest model had 2.2 billion voxels and 61 million square elements. In addition, a technique that improves the convergence performance of the linear equation solver by considering the non-uniqueness of the electric potential is proposed, and its effectiveness is demonstrated.
KW - Voxel-based analysis
KW - electrostatic field
KW - eddy current
KW - indirect boundary element method
KW - virtual-human model
KW - fast multipole method
DO - 10.3970/cmes.2014.102.407