Boumédiène Derras
Boumédiène Derras
Professor of Civil Engineering, https://www.univ-saida.dz/
Email verificata su mail.univ-tlemcen.dz
TitoloCitata daAnno
Comparisons among the five ground-motion models developed using RESORCE for the prediction of response spectral accelerations due to earthquakes in Europe and the Middle East
J Douglas, S Akkar, G Ameri, PY Bard, D Bindi, JJ Bommer, SS Bora, ...
Bulletin of earthquake engineering 12 (1), 341-358, 2014
692014
Adapting the neural network approach to PGA prediction: An example based on the KiK‐net data
B Derras, PY Bard, F Cotton, A Bekkouche
Bulletin of the Seismological Society of America 102 (4), 1446-1461, 2012
402012
Towards fully data driven ground-motion prediction models for Europe
B Derras, PY Bard, F Cotton
Bulletin of earthquake engineering 12 (1), 495-516, 2014
382014
Site-condition proxies, ground motion variability, and data-driven GMPEs: Insights from the NGA-West2 and RESORCE data sets
B Derras, PY Bard, F Cotton
Earthquake spectra 32 (4), 2027-2056, 2016
192016
Neuronal approach and the use of kik-net network to generate response spectrum on the surface
B Derras, A Bekkouche, D Zendagui
Jordan Journal of Civil Engineering 4 (1), 2010
132010
V S30, slope, H 800 and f 0: performance of various site-condition proxies in reducing ground-motion aleatory variability and predicting nonlinear site response
B Derras, PY Bard, F Cotton
Earth, Planets and Space 69 (1), 133, 2017
112017
Use of the artificial neural network for peak ground acceleration estimation
B Derras, A Bekkouche
Lebanese Science Journal 12 (2), 101-115, 2011
102011
Peak ground acceleration prediction using artificial neural networks approach: application to the Kik-Net data
B Derras
International Review of Civil Engineering 1 (3), 243-252, 2010
82010
Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies
AB Stambouli, D Zendagui, PY Bard, B Derras
Earth, Planets and Space 69 (1), 99, 2017
62017
Ground Motion Prediction Model Using Adaptive Neuro-Fuzzy Inference Systems: An Example Based on the NGA-West 2 Data
M Ameur, B Derras, D Zendagui
Pure and Applied Geophysics 175 (3), 1019–1034, 2018
32018
Estimation du risque lié à l’effet de site et génération d’un spectre de réponse à la surface libre
B DERRAS
32004
Contribution des données accélérométriques de KiKNet à la prédiction du mouvement sismique par l'approche neuronale avec la prise en compte des effets de site
B Derras
22011
MAGNITUDE DEPENDENCE OF STRESS DROP: WHAT DOES THE OBSERVED MAGNITUDE SCALING OF GROUND-MOTIONS TELL US?
B Derras, F Cotton, S Drouet, PY Bard
12017
TESTING THE USE OF LOCAL SLOPE AS A PROXY OF GMPE'S SITE CONDITIONS
B Derras, PY Bard, F Cotton, A Lemoine
12014
Neuronal Model for the Hazard Related to the Soil Amplification estimation
ABDZ B. Derras
Third International Symposium on the Effect of Surface Geology on Seismic …, 2006
12006
2D/1D AGGRAVATION FACTORS: FROM A COMPREHENSIVE STUDY TO ESTIMATION WITH A NEURAL NETWORK MODEL
A Stambouli, PY Bard, E Chaljub, P Moczo, J Kristek, S Stripajova, ...
2018
Estimation des mouvements sismiques et de leur variabilité par approche neuronale: Apport à la compréhension des effets de la source, de propagation et de site
B Derras
2017
New insight in the derivation of amplification factor by taking into account soil parameters
D Zendagui, AS Boudghene, PY Bard, B Derras
2017
Observed ground-motion variabilities and implication for source properties
F Cotton, SS Bora, D Bindi, S Specht, S Drouet, B Derras, J Pina-Valdes
AGU Fall Meeting Abstracts, 2016
2016
Etude comparative de la capacité de différents proxies de site à réduire la variabilité aléatoire deséquations de prédiction des mouvements du sol (données KiK-net)
B Derras, PY Bard, F Cotton
2015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20