An Adaptive Frequency Sampling Algorithm for Dynamic Condensation-Based Frequency Response Analysis

This paper proposed an efficient and adaptive frequency sampling algorithm for response analysis using dynamic condensation-based reduced-order modeling. For the degree of freedom-based model reduction method, basis becomes a frequency-dependent matrix since relationship between master slave degrees freedom stems from partial equations second-order dynamical system. Such frequency-dependency makes inefficient investigating Considering that coverage local at single varies depending on frequency, new was with strategy constructing multiple models (ROMs) sample frequencies. sampling, range ROM evaluated, added if there gap two adjacent ROMs. As result, accuracy can be estimated, efficiency in online stage greatly enhanced. The method verified by performing several numerical examples, including large-scale structural