TITLE:
A Parallel FEA Computing Kernel for Building Structures
AUTHORS:
Jin Duan, Yungui Li, Xiaoming Chen, Hu Qi, Jianyun Sun
KEYWORDS:
High Performance Computing; Finite Element Analysis; Building Structure; PARDISO
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.1 No.6,
November
28,
2013
ABSTRACT:
With the rapid development of high-rise buildings and
long-span structures in the recent years, high performance com- putation
(HPC) is becoming more and more important, sometimes even crucial, for the
design and construction of com- plex building structures. To satisfy the
engineering requirements of HPC, a parallel FEA computing kernel, which is
designed typically for the analysis of complex building structures, will be
presented and illustrated in this paper. This kernel program is based on the
Intel Math Kernel Library (MKL) and coded by FORTRAN 2008 syntax, which is a
parallel computer language. To improve the capability and efficiency of the
computing kernel program, the parallel concepts of modern FORTRAN, such as
elemental procedure, do concurrent, etc., have been applied extensively in
coding and the famous PARDISO solver in MKL has been called to solve the
Large-sparse system of linear equations. The ultimate objective of developing
the computing kernel is to make the personal computer have the ability to
analysis large building structures up to ten million degree of freedoms (DOFs).
Up to now, the linear static analysis and dynamic analysis have been achieved
while the nonlinear analysis, including geometric and material nonlinearity,
has not been finished yet. Therefore, the numerical examples in this paper will
be concentrated on demonstrating the validity and efficiency of the linear
analysis and modal analysis for large FE models, while ignoring the
verification of the nonlinear analysis capabilities.