CaltechAUTHORS
  A Caltech Library Service

Bayesian operational modal analysis and assessment of a full-scale coupled structural system using the Bayes-Mode-ID method

Lam, Heung-Fai and Yang, Jia-Hua and Beck, James L. (2019) Bayesian operational modal analysis and assessment of a full-scale coupled structural system using the Bayes-Mode-ID method. Engineering Structures, 186 . pp. 183-202. ISSN 0141-0296. http://resolver.caltech.edu/CaltechAUTHORS:20190219-135030392

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20190219-135030392

Abstract

This paper presents a structural assessment project for a construction training center in Hong Kong. The training center consists of coupled main and complementary buildings. Due to the vigorous activities in the training center, the objectives of the project include conducting operational modal analysis (OMA) of the buildings to assess their structural performance and the coupling of vibrations between the two buildings. OMA is conducted using Bayes-Mode-ID recently developed by the authors, which is an efficient Bayesian modal-component-sampling system identification method for field testing of civil engineering structures under ambient vibrations. Implementation issues for Bayes-Mode-ID are discussed in detail for the full-scale coupled structural system. Due to the large number of measurement points (high resolution mode shapes are desired for understanding the coupling behavior of the system) and limited number of sensors, the measurements were divided into 21 setups in order to properly characterize the dynamics of the building. Each setup covered one portion of the training center and the partial mode shapes from different setups were assembled to provide the global mode shapes. By following a Bayesian approach, not only the most probable values (MPVs) of the modal parameters (modal frequencies, modal damping ratios and mode shapes) but also their associated uncertainties can be obtained. The identified modal parameters reveal interesting dynamic behaviors of the coupled-building and they will be helpful for structural assessment and structural health monitoring (SHM) of the training center in the future.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.engstruct.2019.02.016DOIArticle
Additional Information:© 2019 Elsevier Ltd. Received 11 September 2018, Revised 6 February 2019, Accepted 6 February 2019, Available online 15 February 2019.
Funders:
Funding AgencyGrant Number
Research Grants Council of the Hong Kong Special Administrative RegionGRF 9042336
National Natural Science Foundation of China51808400
Shanghai Sailing Program18YF1424500
Central Universities22120180007
Subject Keywords:Full-scale ambient vibration test; Bayesian modal-component-sampling system identification; Bayesian operational modal analysis; Uncertainty assessment for modal identification
Record Number:CaltechAUTHORS:20190219-135030392
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190219-135030392
Official Citation:Heung-Fai Lam, Jia-Hua Yang, James L. Beck, Bayesian operational modal analysis and assessment of a full-scale coupled structural system using the Bayes-Mode-ID method, Engineering Structures, Volume 186, 2019, Pages 183-202, ISSN 0141-0296, https://doi.org/10.1016/j.engstruct.2019.02.016. (http://www.sciencedirect.com/science/article/pii/S0141029618329857)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92985
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:19 Feb 2019 21:55
Last Modified:19 Feb 2019 21:55

Repository Staff Only: item control page