Stochastic simulation based robust reliability updating of nonlinear structural dynamic systems based on incomplete modal data
In this paper, we are interested in using the incomplete modal data identified from the system to update the robust failure probability that any particular response of a nonlinear structural dynamic system exceeds a specified threshold during the time when it is subjected to future stochastic dyn...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/100577 http://hdl.handle.net/10220/25162 http://www.isrerm2014.ntust.edu.tw/21-201.html |
| Summary: | In this paper, we are interested in using the incomplete modal data identified from the
system to update the robust failure probability that any particular response of a nonlinear
structural dynamic system exceeds a specified threshold during the time when it is subjected
to future stochastic dynamic excitation. Uncertainties from structural modeling, the modeling
of the stochastic excitation that the structure will experience during its lifetime and any other
uncertainties can all be taken into account. A new efficient approach based on stochastic
simulation methods, which is very robust to the number of random variables and uncertain
model parameters, is proposed to update the robust reliability of the structure. The efficiency
and effectiveness of the proposed approach are illustrated by a numerical example involving a
nonlinear structural dynamic model of a building. |
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