Model updating incorporating measured response uncertainties and confidence levels of tuning parameters
Article
Article Title | Model updating incorporating measured response uncertainties and confidence levels of tuning parameters |
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ERA Journal ID | 212948 |
Article Category | Article |
Authors | Kodikara, K.A. Tharindu L. (Author), Chan, Tommy H.T. (Author), Nguyen, Andy (Author) and Thambiratnam, David P. (Author) |
Journal Title | International Journal of Lifecycle Performance Engineering |
Journal Citation | 2 (1/2), pp. 61-78 |
Number of Pages | 8 |
Year | 2016 |
Publisher | Inderscience Publishers |
Place of Publication | United Kingdom |
ISSN | 2043-8648 |
2043-8656 | |
Digital Object Identifier (DOI) | https://doi.org/10.1504/IJLCPE.2016.082712 |
Web Address (URL) | https://www.inderscienceonline.com/doi/abs/10.1504/IJLCPE.2016.082712 |
Abstract | Automated model updating of real civil engineering structures is often very challenging due to the presence of different degrees of uncertainty in measured responses and confidence levels of the tuning parameters used. To address this issue, this paper presents a hybrid model updating procedure for large-scale civil engineering structures which incorporate these variations by means of data scatter for both measured responses and tuning parameters as a logical extension to the conventional automated model updating procedures. Scatters in the |
Keywords | automated model updating, uncertainty of measured data, confidence of tuning parameters, ambient vibration, finite element modelling |
ANZSRC Field of Research 2020 | 400510. Structural engineering |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Queensland University of Technology |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4z92/model-updating-incorporating-measured-response-uncertainties-and-confidence-levels-of-tuning-parameters
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