Boumédiène Derras
Boumédiène Derras
Full professor of Civil Engineering, https://www.univ-saida.dz/
Adresse e-mail validée de univ-tlemcen.dz
Titre
Citée par
Citée par
Année
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
822014
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
772014
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
712012
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
472016
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), 1-21, 2017
312017
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), 1-26, 2017
202017
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
132018
Use of the artificial neural network for peak ground acceleration estimation
B Derras, A Bekkouche
Lebanese Science Journal 12 (2), 101-115, 2011
122011
Peak ground acceleration prediction using artificial neural networks approach: application to the Kik-Net data
B Derras
International Journal of Earthquake Engineering and Hazard Mitigation (IREHM …, 2014
11*2014
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
112010
Non-linear modulation of site response: Sensitivity to various surface ground-motion intensity measures and site-condition proxies using a neural network approach
B Derras, PY Bard, J Régnier, H Cadet
Engineering Geology, 2020
62020
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
Université de Tlemcen, 2011
32011
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, ...
16Ith European Conference of Earthquake Engineering, 2018
22018
MAGNITUDE DEPENDENCE OF STRESS DROP: WHAT DOES THE OBSERVED MAGNITUDE SCALING OF GROUND-MOTIONS TELL US?
B Derras, F Cotton, S Drouet, PY Bard
Sixteenth World Conference on Earthquake Engineering, 4505, 2017
22017
Estimation du risque lié à l’effet de site et génération d’un spectre de réponse à la surface libre
B Derras
Mémoire de Magister, Université de Tlemcen, 2004
22004
Data-driven testing of the magnitude dependence of earthquake stress parameters using the NGA-West 2 dataset
Z Dif, B Derras, F Cotton, C Molkenthin
Journal of Seismology 24 (6), 1095-1107, 2020
12020
New insight in the derivation of amplification factor by taking into account soil parameters
D Zendagui, AS Boudghene, PY Bard, B Derras
Sixteenth World Conference on Earthquake Engineeringn, 3821, 2017
12017
TESTING THE USE OF LOCAL SLOPE AS A PROXY OF GMPE'S SITE CONDITIONS
B Derras, PY Bard, F Cotton, A Lemoine
Second European Conference on Earthquake Engineering and Seismology (2ECEES), 2014
12014
Estimation de la vitesse maximale du sol par la méthode des réseaux de neurones artificiels
B Derras, A Bekkouche
Journées Nationales de Géotechnique et de Géologie de l’Ingénieur, 0
1
Testing the quality and performance of various proxies for ground-motion estimates in low-to-moderate seismicity areas: an example from RESIF data (mainland France)
B Derras, E.Maufroy, P-Y.Bard, C. Beauval, P.Traversa
17th World Conference on Earthquake Engineering, 12, 2020
2020
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20