Multidisciplinary modeling and simulation of complex engineering systems are generally realized by an integrated approach in which the global system is decomposed into some coupling models of subsystems and then for collaborative computation. However, the coupling relationship of design variables between different disciplinary models usually increases the complexity of collaborative computation. It is a pivotal issue to solve these models in parallel for collaborative simulation. In this paper, numerical computation for multidisciplinary coupling models is analyzed. A method of variable-step collaborative simulation based on the local truncation error estimation is presented. A case study demonstrates the algorithm performance in both efficiency and accuracy.
['Heming Zhang', 'Pengfei Cui', 'Chun Zhang', 'Hongwei Wang']
A variable-step numerical method for collaborative computation of two coupling models in multidisciplinary engineering systems