Details
| Original language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada Duration: 12 Jul 2015 → 15 Jul 2015 |
Conference
| Conference | 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver |
| Period | 12 Jul 2015 → 15 Jul 2015 |
Abstract
This work is concerned with the reliability analysis of structural systems under incomplete earthquake records. An artificial neural network approach is developed and implemented to address the problem associated with missing data in the context of evolutionary power spectra estimation of underlying non-stationary stochastic processes. The effectiveness of the proposed approach is investigated by the reliability analysis of a large structural model under simulated earthquake excitation.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Mathematics(all)
- Statistics and Probability
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2015. Paper presented at 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012, Vancouver, Canada.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Structural system response and reliability analysis under incomplete earthquake records
AU - Comerford, Liam
AU - Jensen, Hector
AU - Beer, Michael
AU - Mayorga, Carlos
AU - Kougioumtzoglou, Ioannis
AU - Kusanovic, Danilo
PY - 2015
Y1 - 2015
N2 - This work is concerned with the reliability analysis of structural systems under incomplete earthquake records. An artificial neural network approach is developed and implemented to address the problem associated with missing data in the context of evolutionary power spectra estimation of underlying non-stationary stochastic processes. The effectiveness of the proposed approach is investigated by the reliability analysis of a large structural model under simulated earthquake excitation.
AB - This work is concerned with the reliability analysis of structural systems under incomplete earthquake records. An artificial neural network approach is developed and implemented to address the problem associated with missing data in the context of evolutionary power spectra estimation of underlying non-stationary stochastic processes. The effectiveness of the proposed approach is investigated by the reliability analysis of a large structural model under simulated earthquake excitation.
UR - http://www.scopus.com/inward/record.url?scp=84978647118&partnerID=8YFLogxK
U2 - 10.14288/1.0076038
DO - 10.14288/1.0076038
M3 - Paper
T2 - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
Y2 - 12 July 2015 through 15 July 2015
ER -