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Multi-Hazard ResilienceActiveVulnCAST: Vulnerability & Capacity Assessment using Smart Transformers
PI: Dr. Tadesse Wakjira
AI-powered seismic vulnerability and capacity assessment framework for reinforced concrete structures.
Seismic
Application
Multi-hazard assessment
Portfolio
Scale
Regional risk analysis
Transformer
Method
Attention-based models
Fragility
Output
Damage probability curves
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Overview
VulnCAST develops transformer-based and ensemble learning models for rapid seismic vulnerability assessment of reinforced concrete structures.
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Novel Contributions
1
Transformer for Fragility
First application of attention-based architectures to seismic fragility curve generation.
2
Multi-Scale Assessment
From component-level damage to portfolio-level risk quantification.
3
Interpretable Risk Models
Attention visualization and SHAP analysis reveal which parameters drive vulnerability predictions.
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Technology Stack
TransformerXGBoostFragility AnalysisSHAPOpenSees
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Interested in This Research?
For code access, collaboration opportunities, or questions about this project, please contact the PI (Dr. Tadesse Wakjira) directly.