000009382 001__ 9382
000009382 005__ 20141205150200.0
000009382 04107 $$aeng
000009382 046__ $$k2008-10-12
000009382 100__ $$aAlcántara , Leonardo
000009382 24500 $$aStrong Ground Motion Duration and Response Spectra Using Artificial Neural Networks

000009382 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000009382 260__ $$b
000009382 506__ $$arestricted
000009382 520__ $$2eng$$aArtificial neural networks (ANN) were used to estimate strong ground motion duration and response spectra using accelerograms recorded in and around the Mexican cities of Puebla and Oaxaca. These networks were developed using a back propagation algorithm and multi-layer feed-forward architecture in the training stage. For strong ground motion duration, we integrate data considering that the phenomenon is characterized by seismic magnitude, epicenter distance, site period and azimuth. Results were compared with those obtained from the Arias method and Reinoso&Ordaz equation. Regarding to response spectra, besides the previous parameters we also considered a vector of spectral amplitudes. In order to evaluate the forecasting capacity of the ANN strong ground motion duration and response spectra were estimated from earthquakes whose data were not included in the training phase. An acceptable concordance is observed between them and those provided by the ANN. Overall, the results presented show that ANN provide good and reasonable estimates of strong ground motion duration and response spectra in each one of the three orthogonal components of the accelerograms recorded in the cities of Puebla and Oaxaca. Furthermore, the networks have a good predictive capacity to estimate duration and response spectra.

000009382 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000009382 653__ $$aStrong Ground Motion Duration, Artificial Neural Network, Response Spectra, Accelerogram Recording, Arias Intensity, Earthquake. 

000009382 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000009382 720__ $$aAlcántara , Leonardo$$iOvando, E.$$iMacías, Marco A$$iRuiz, A. L.
000009382 8560_ $$ffischerc@itam.cas.cz
000009382 8564_ $$s775994$$uhttps://invenio.itam.cas.cz/record/9382/files/14-0158.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 14-0158.
000009382 962__ $$r9324
000009382 980__ $$aPAPER