Loading…
Dynamic analysis of the non-viscously damped structure using the superposition of first-order IIR filters
•The kernel function is viewed as the linear time-invariant system in signal processing.•The single-step recursive formulations associated with non-viscous damping derive.•The proposed scheme is conditionally stable.•The computational amount of the scheme is nearly in proportion to the analysis time...
Saved in:
Published in: | Mechanical systems and signal processing 2022-03, Vol.167, p.108596, Article 108596 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | •The kernel function is viewed as the linear time-invariant system in signal processing.•The single-step recursive formulations associated with non-viscous damping derive.•The proposed scheme is conditionally stable.•The computational amount of the scheme is nearly in proportion to the analysis time.
The convolution integral of the velocity and the general kernel function in the motion equation of a non-viscously damped structure makes the numerical solution difficult. According to the consistent motion assumption and the linear time-invariant system theory in signal processing, the single-step recursive formulations replacing the convolution integral derive from viewing the kernel function as the superposition of first-order IIR filters. The time integration formulations incorporating the recursive expressions are then derived, and correspondingly a computational scheme is proposed for the dynamic analysis of the structure. Due to introducing the internal support vectors, the one ensures that the computational amount of the non-viscously damped system is nearly in proportion to the needed analysis time and slightly higher than that of the linear viscous-damping system. The scheme stability is studied using the spectral radius theory and proves conditional. The scheme applies to two numerical examples. Consequently, the computational results compare well with those based on other methods, confirming the scheme’s accuracy. |
---|---|
ISSN: | 0888-3270 1096-1216 |
DOI: | 10.1016/j.ymssp.2021.108596 |