Accueil › Annuaire des chercheurs › Boumédiène Derras
Boumédiène Derras
Affiliation : University of Abou Bekr Belkaïd · Université de Saida Dr Moulay Tahar
- 27Publications (affiliation algérienne)
- 60Publications au total
- 732Citations
- 10Indice h
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Seismic Performance and Analysis
- Seismology and Earthquake Studies
- Seismic Waves and Analysis
- Geotechnical Engineering and Underground Structures
- earthquake and tectonic studies
Publications (27)
- Sensitivity Analysis on the Drift Ratio of Bridge Piers Using a Neural Network Approach
- Data-driven ground-motion prediction and variability reduction for seismic hazard assessment in civil engineering
- Non-linear Soil behavior In Site response : From Field Observations to Quantitative Modeling
- Why Non-Linear Soil Behavior Must Be Accounted for in Site Response Assessment—and How to Do It with an Empirical Approach
- Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach
- Impact of several site-condition proxies and ground-motion intensity measures on the spectral amplification factor using neuro-fuzzy approach: an example on the KiK-Net dataset
- Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures
- Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures
- Seismic Resilience of Interdependent Built Environment for Integrating Structural Health Monitoring and Emerging Technologies in Decision-Making
- A regionalized partially nonergodic ground-motion data driven model for low to moderate seismicity areas: using RESIF-RAP, ESM, RESORCE and NGA-West2 data
- Non-linear site response : a focus of thick sedimentary deposits. Learnings from Japanese strong motion recordings
- Empirical approaches for non-linear site response: results for the ESG6-blind test
- Site-Specific Empirical Ground-Motion Prediction Model for the Area of Greece Using Neural Networks Approach
- Artificial Intelligence for the amelioration of seismic resilience of bridges
- COMPARISON OF TWO PURELY EMPIRICAL APPROACHES FOR NON-LINEAR SITE RESPONSE PREDICTION: RESULTS FOR THE ESG6-BLIND TEST (ESG6)
- Non-linear modulation of site response: Sensitivity to various surface ground-motion intensity measures and site-condition proxies using a neural network approach
- Data-driven testing of the magnitude dependence of earthquake stress parameters using the NGA-West 2 dataset
- 2D/1D AGGRAVATION FACTORS: FROM A COMPREHENSIVE STUDY TO ESTIMATION WITH A NEURAL NETWORK MODEL
- 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
- Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies
- Ground Motion Prediction Model Using Adaptive Neuro-Fuzzy Inference Systems: An Example Based on the NGA-West 2 Data
- Site‐Condition Proxies, Ground Motion Variability, and Data‐Driven GMPEs: Insights from the NGA‐West2 and RESORCE Data Sets
- Neuronal Approach and the Use of KIK-NET Network to Generate Response Spectrum on the Surface
- TESTING THE USE OF LOCAL SLOPE AS A PROXY OF GMPE'S SITE CONDITIONS
- Towards fully data driven ground-motion prediction models for Europe
- 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
- Adapting the Neural Network Approach to PGA Prediction: An Example Based on the KiK-net Data
Co-auteurs
- Djawad Zendagui
- Fayçal Chaibeddra Tani
- Zouheyr Dif
- Ahmed Boudghene Stambouli
- Mohammed Akram Ismail Zaoui
- Mohammed Matallah
- Nassima Benmansour
- Mourad Ameur
- Abdelmalek Bekkouche
- Zahira Benadla
- Mohammed Tewfik Rachedi
Données bibliographiques issues d’OpenAlex (base ouverte).
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