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VulnCAST: Vulnerability & Capacity Assessment using Smart Transformers

AI-powered seismic vulnerability and capacity assessment framework for reinforced concrete structures.

Multi-Hazard Resilience
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01

Overview

VulnCAST develops transformer-based and ensemble learning models for rapid seismic vulnerability assessment of reinforced concrete structures.

02

Novel contributions

  1. 01

    Transformer for fragility

    First application of attention-based architectures to seismic fragility curve generation.

  2. 02

    Multi-scale assessment

    From component-level damage to portfolio-level risk quantification.

  3. 03

    Interpretable risk models

    Attention visualization and SHAP analysis reveal which parameters drive vulnerability predictions.

Interested in this research?

For code access, collaboration or questions about VulnCAST, contact the principal investigator, Dr. Tadesse Wakjira.

Contact the PIOpen positions