All Stories

  1. An Ensemble Learning-Based Approach to Quantify Post-Earthquake Functional Recovery of a Steel Moment-Resisting Frame Inventory
  2. Making the Black Box Transparent: State of the Art in Explainable Machine Learning for Structural Design and Assessment
  3. Evaluating the Performance of Concrete Barriers in Protecting Bridge Piers under Vehicular Impact in Space-Constrained Settings
  4. Towards using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
  5. Impact of modeling decisions on seismic loss and fragility assessment of steel buildings
  6. Making the Black Box Transparent: State of the Art in Explainable Machine Learning for Structural Design and Assessment
  7. Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications
  8. Insights into susceptibility of underground infrastructure to geohazards due to subsurface urban heat Island
  9. A Numerical Investigation of the Performance of Damaged Concrete Barriers Under Sequential Vehicular Impacts
  10. Efficiency and explainability of design‐oriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory
  11. Evaluating fire resistance of timber columns using explainable machine learning models
  12. Evaluating the impact of higher-mode and inelastic dynamic responses of concrete frames on the performance of seismic intensity measures
  13. Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design
  14. Leveraging machine learning techniques to support a holistic performance-based seismic design
  15. A Holistic Review of GM/IM Selection Methods from a Structural Performance-Based Perspective
  16. A Data-Driven Approach to Evaluate Site Amplification of Ground-Motion Models Using Vector Proxies Derived from Horizontal-to-Vertical Spectral Ratios
  17. Estimating seismic demand models of a building inventory from nonlinear static analysis using deep learning methods
  18. Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment
  19. A relational database to support post-earthquake building damage and recovery assessment
  20. Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment
  21. The Impact of Hazard-Consistent Ground Motion Scenarios Selection on Structural Seismic Risk Estimation
  22. Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design
  23. Probabilistic seismic performance and loss evaluation of a multi-story steel building equipped with butterfly-shaped fuses
  24. INSSEPT: An open-source relational database of seismic performance estimation to aid with early design of buildings
  25. Probabilistic seismic assessment of non-ductile RC buildings retrofitted using pre-tensioned aramid fiber reinforced polymer belts
  26. The effect of design drift limit on the seismic performance of concrete tall buildings
  27. Evaluation of sulfate damages in a tunnel concrete segments