Final report LDRD project 105816 : model reduction of large dynamic systems with localized nonlinearities.

Lehoucq, Richard B. ; Segalman, Daniel Joseph ; Hetmaniuk, Ulrich L. (University of Washington, Seattle, WA) ; Dohrmann, Clark R.

Sandia National Laboratories

关键词: Parallel Computers.;    Computer Architecture;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Programming;    Parallel Processing;   

DOI  :  10.2172/992314
RP-ID  :  SAND2009-6862
RP-ID  :  AC04-94AL85000
RP-ID  :  992314

美国|英语

来源: UNT Digital Library

【 摘 要 】

Advanced computing hardware and software written to exploit massively parallel architectures greatly facilitate the computation of extremely large problems. On the other hand, these tools, though enabling higher fidelity models, have often resulted in much longer run-times and turn-around-times in providing answers to engineering problems. The impediments include smaller elements and consequently smaller time steps, much larger systems of equations to solve, and the inclusion of nonlinearities that had been ignored in days when lower fidelity models were the norm. The research effort reported focuses on the accelerating the analysis process for structural dynamics though combinations of model reduction and mitigation of some factors that lead to over-meshing.