Response statistics prediction for structures with uncertain attachments using a Krylov approach. (3rd March 2020)
- Record Type:
- Journal Article
- Title:
- Response statistics prediction for structures with uncertain attachments using a Krylov approach. (3rd March 2020)
- Main Title:
- Response statistics prediction for structures with uncertain attachments using a Krylov approach
- Authors:
- Li, Shuo
Mace, Brian R.
Dhupia, Jaspreet S. - Abstract:
- Abstract: This paper presents an approach to calculate the response statistics of a structure comprising a main, host structure with an attachment whose coupling location is not exactly known. The proposed approach is based on a Krylov model order reduction method, which reduces the order of a finite element model of the structure enabling an efficient way to estimate the statistics of the structural response. The multi-point constraint method is used to connect the finite element models of the attachment and the structure. One (or more) analysis based on Chebyshev nodes is performed for the attachment located at a given position(s) to obtain the local projection matrices. Afterwards, a Parametric Model Order Reduction method is applied to reduce the model order. Uncertainty in the location of the attachment is included in a Monte Carlo simulation. The method is illustrated using two numerical examples to demonstrate its accuracy and efficiency.
- Is Part Of:
- Journal of sound and vibration. Volume 468(2020)
- Journal:
- Journal of sound and vibration
- Issue:
- Volume 468(2020)
- Issue Display:
- Volume 468, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 468
- Issue:
- 2020
- Issue Sort Value:
- 2020-0468-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03-03
- Subjects:
- Attachment -- Uncertain location -- Krylov subspace method -- Repeated calculation
Sound -- Periodicals
Vibration -- Periodicals
Son -- Périodiques
Vibration -- Périodiques
Sound
Vibration
Periodicals
Electronic journals
620.205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0022460X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jsv.2019.115118 ↗
- Languages:
- English
- ISSNs:
- 0022-460X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5065.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12524.xml