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A State-Time Formulation for Dynamic Systems Simulation Using Massively Parallel Computing Resources
 

Summary: A State-Time Formulation for Dynamic Systems Simulation
Using Massively Parallel Computing Resources
Kurt S. Anderson, Associate Professor (anderk5@rpi.edu)
and Mojtaba Oghbaei, Doctoral Student (oghbam@rpi.edu)
Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer
Polytechnic Institute, 110 8th Street, Troy, New York 12180-3590
Phone (518)276-2339 / Fax (518)276-2623
Nonlinear Dynamics, NODY 04-72, In Press
Abstract. A novel state-time formulation for the simulation and analysis of the dy-
namic behavior of complex multibody systems is presented. The method proposes a
computationally fast algorithm which is better able to fully exploit anticipated future
immensely parallel computing resources (e.g. pecta flop machines and beyond) than
existing multibody algorithms. The intent of the algorithm is to yield significantly
reduced simulation turnaround time in situations where massively parallel (> 106
processors) computing resources are available to it. It is shown that as a consequence
of such a state-time discretization scheme, the system of governing equations yields a
set of loosely coupled nonlinear algebraic equations which is at most quadratic in the
state-time variables, with significant linear components. As such, it is well-suited in
structure for nonlinear algebraic equations solvers. The linear-quadratic structure
of these equations further permits the use of a special solution scheme, which is

  

Source: Anderson, Kurt S. - Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute

 

Collections: Computer Technologies and Information Sciences