EconPapers    
Economics at your fingertips  
 

Topology optimization for vibration suppression at multiple locations: A non-iterative approach

Jiqiang Wang

Applied Mathematics and Computation, 2021, vol. 398, issue C

Abstract: Optimization algorithms have been routinely utilized for topology optimization for vibration suppression. It is quite often necessitated that vibration needs to be suppressed at multiple locations. For this problem, conventional optimization-based approaches can be time-consuming for seeking optimal solutions resulting in iterative procedures. This is true particularly for addressing those fundamental problems such as feasibility of performance specification, performance limit, seeking sub-optimal solutions, and determining compromisability of performance at multiple locations etc. In this paper, a novel approach is proposed where all these problems can be tackled without iterative trials-and-errors. Clear-cut answers can be obtained solely based on visual inspections. As a consequence, a new design methodology is established whose powerfulness is demonstrated through its application to vehicle suspension structures.

Keywords: Vibration suppression; Multiple locations; Non-iterative approach (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300321000382
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:398:y:2021:i:c:s0096300321000382

DOI: 10.1016/j.amc.2021.125990

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:398:y:2021:i:c:s0096300321000382