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15 - General Engineering

University of Liverpool

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Output 40 of 103 in the submission

Article title

Fast Bayesian ambient modal identification in the frequency domain, Part I: Posterior most probable value

Type

D - Journal article

DOI

10.1016/j.ymssp.2011.06.017

Title of journal

Mechanical Systems and Signal Processing

Article number

Volume number

Issue number

First page of article

ISSN of journal

08883270

Year of publication

2012

URL

Number of additional authors

Additional information

Addresses the problem of ambient vibration testing and uncertainty using fast Bayesian identification of modal properties, typically in a matter of seconds, even in the case of practical on-site testing. Follow-on work provided validation of the method by numerical and experimental tests (Mechanical Systems and Signal Processing 26(1); evidence file Au1-2.pdf). Evidence of the value of this research includes the monitoring of super-tall buildings (Nina Tower II (300m), One Island East (300m) and Guang Zhou New TV Tower (600m)) during typhoons, carried out in collaboration with Ove Arup (contact:Alex.To@arup.com;Evidence file: Au1-1.pdf).

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract