Model Order Reduction - Automated Two-Step Approaches

A two-step model order reduction method is investigated in order to overcome problems of certain one-step methods. Not only optimal combinations of one-step reductions are considered but also the selection of a suitable intermediate dimension is described. Several automated selection methods are presented and their application tested on a gear box model. The implementation is realized using a Matlab-based Software "MORPACK". Several recommendations are given towards the selection of a suitable intermediate dimension, and problems in Model Order Reduction combination are pointed out. A pseudo two-step is suggested to reduce the full system without any modal information. A new node selection approach is proposed to enhance the SEREP approximation of the system's response for small reduced representations.

Autorentext

Born in Moldova.Graduated at Technical University of Dresden.Currently working at Spooner Industries Ltd. as Sales Engineer.