Reliability updating of nonlinear dynamic systems using unknown vibration data
Prior evaluation of existing structure has been a very important subject for civil engineers in order to avoid catastrophic building collapses that causes loss to every aspect of human life. Subjected to vibrations, either they are as strong as earthquakes or as subtle as ambient ones, there is alwa...
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sg-ntu-dr.10356-679532023-03-03T16:56:33Z Reliability updating of nonlinear dynamic systems using unknown vibration data Nathaniel Cheung Sai Hung School of Civil and Environmental Engineering DRNTU::Engineering Prior evaluation of existing structure has been a very important subject for civil engineers in order to avoid catastrophic building collapses that causes loss to every aspect of human life. Subjected to vibrations, either they are as strong as earthquakes or as subtle as ambient ones, there is always exist a necessity to prevent them to fail from such vibrations. Thus, the need of model updating emerged to assess the structures. In this study, stochastic model updating technique is used to account for the inevitable uncertainties due to lack of precise information. In particular, Transitional Markov Chain Monte Carlo (TMCMC) method is adopted as a way to do the updating of dynamic structural model. Bachelor of Engineering (Civil) 2016-05-23T08:13:12Z 2016-05-23T08:13:12Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67953 en Nanyang Technological University 45 p. application/pdf |
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DRNTU::Engineering Nathaniel Reliability updating of nonlinear dynamic systems using unknown vibration data |
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Prior evaluation of existing structure has been a very important subject for civil engineers in order to avoid catastrophic building collapses that causes loss to every aspect of human life. Subjected to vibrations, either they are as strong as earthquakes or as subtle as ambient ones, there is always exist a necessity to prevent them to fail from such vibrations. Thus, the need of model updating emerged to assess the structures. In this study, stochastic model updating technique is used to account for the inevitable uncertainties due to lack of precise information. In particular, Transitional Markov Chain Monte Carlo (TMCMC) method is adopted as a way to do the updating of dynamic structural model. |
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Cheung Sai Hung |
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Cheung Sai Hung Nathaniel |
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Final Year Project |
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Nathaniel |
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Nathaniel |
title |
Reliability updating of nonlinear dynamic systems using unknown vibration data |
title_short |
Reliability updating of nonlinear dynamic systems using unknown vibration data |
title_full |
Reliability updating of nonlinear dynamic systems using unknown vibration data |
title_fullStr |
Reliability updating of nonlinear dynamic systems using unknown vibration data |
title_full_unstemmed |
Reliability updating of nonlinear dynamic systems using unknown vibration data |
title_sort |
reliability updating of nonlinear dynamic systems using unknown vibration data |
publishDate |
2016 |
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http://hdl.handle.net/10356/67953 |
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1759856993190805504 |