Boumédiène Derras
Boumédiène Derras
Full professor of Civil Engineering, https://www.univ-saida.dz/
Verified email at univ-tlemcen.dz
Title
Cited by
Cited by
Year
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
652014
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
592012
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
342016
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
232017
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
162017
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
Use of the artificial neural network for peak ground acceleration estimation
B Derras, A Bekkouche
Lebanese Science Journal 12 (2), 101-115, 2011
112011
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
102018
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
9*2014
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
Université de Tlemcen, 2011
22011
Non-linear modulation of site response: Sensitivity to various surface ground-motion intensity measures and site-condition proxies using a neural network approach
HC Boumédiène Derras, Pierre-Yves Bard, Julie Régnier
Engineering Geology, 2020
12020
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
12017
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
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
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
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
2020
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
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Articles 1–20