arrow
Return

A system-based reduction method for spatial deformable multibody systems using global flexible modes

delete2021-07-01
delete9
PRE
AI
A
Alessandro Cammarata *
P
Pietro Davide Maddío
DOI:10.1016/j.jsv.2021.116118delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The most popular strategy to reduce the complexity of flexible multibody systems modeled using the Floating Frame of Reference Formulation (FFRF) is based on reduced-order models (ROM) derived through component modes. In this paper, we propose the use of global modes to build a feasible modal basis of reduction. The global modes are derived from the assembled system and satisfy the reference conditions necessary to prevent rigid-body motions inside the floating frames of the flexible components. Furthermore, the global modes are consistent with the constraints provided by the mechanical joints. As for the classic Component Mode Synthesis (CMS) methods, the proposed reduction pertains only to the elastic coordinates while the gross motion coordinates are kept in the final ROM. This approach allows for describing the deformation field of the whole mechanisms using linear combinations of global shapes. As a consequence, a reduced number of global modal intensities is required and the computational burden is significantly decreased compared to the unreduced model. (c) 2021 Elsevier Ltd. All rights reserved.
Keywords:
Flexible multibody systems
Model order reduction (MOR)
System-level reduction
Real-time applications
Finite element floating frame of reference formulation (FE-FFRF)
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Sound and Vibration cover
Journal of Sound and Vibration
IF:
4.9
Papers:
1.7W
Citations:
4.8W

Organization

U
University of Catania
Scholars:
1.9W
Papers: 1.4W
Citations: 20
Cited Papers

Cited Papers

Beekeeping: The Future Growth Engine for Indian Farmers
err2015-04-01
err0
PREAI
errGurpreet Singh Makkar; Pardeep Kumar Chhuneja; Mukhtar Singh Gill
errShare
errSave
Decision-Making Deficits in ADHD Are Not Related to Risk Seeking But to Suboptimal Decision-Making: Meta-Analytical and Novel Experimental Evidence
err2018-12-06
err0
errOAAI
errTycho J. Dekkers; Joost A. Agelink van Rentergem; Hilde M. Huizenga; Hamutal Raber; Rachel Shoham; Arne Popma; Yehuda Pollak
errShare
errSave
TheDoc transposable element inDrosophila melanogaster andDrosophila simulans: Genomic distribution and transcription
err1994-02-01
err0
PREAI
errC. Vaury; M. C. Chaboissier; M. E. Drake; O. Lajoinie; B. Dastugue; A. P�lisson
errShare
errSave
researcher View more