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Predicting short-period spectral ordinates of hybrid ground shaking prediction tools: a comparative benchmark
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gatti, Filippo | - |
dc.contributor.author | Lopez-Caballero, Fernando | - |
dc.date.accessioned | 2019-05-14T03:09:04Z | - |
dc.date.available | 2019-05-14T03:09:04Z | - |
dc.date.issued | 2019-05-26 | - |
dc.identifier.citation | 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019 | - |
dc.identifier.isbn | 979-11-967125-0-1 | - |
dc.identifier.other | ICASP13-396 | - |
dc.identifier.uri | https://hdl.handle.net/10371/153514 | - |
dc.description.abstract | In this paper, a comparative perspective is provided on the efficiency and drawback of hybrid techniques to produce broad-band (BB) seismic time-histories, based on physics-based numerical simulations. The recently developed ANN2BB technique (Paolucci et al., 2018) is put under focus: it exploits Artificial Neural Networks (ANN) to predict short-period response spectra, feeding the algorithm with the low frequency outcome numerical simulations and producing hybrid broad-band (0-30 Hz) timehistories. The robustness of the methodology is argued by inputting correlated (from observations) and uncorrelated long-period spectral ordinates into the ANN predictive tool to draw an uncertainty map of possible predictions and test its sensitivity in relationship with the a priori accuracy numerical simulations. | - |
dc.language.iso | en | - |
dc.title | Predicting short-period spectral ordinates of hybrid ground shaking prediction tools: a comparative benchmark | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.22725/ICASP13.396 | - |
dc.sortNo | 604 | - |
dc.citation.pages | 2033-2040 | - |
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