The impact of a PEER funded research project "Improvement of Capacity Models in the Caltrans Risk-Based Seismic Design (CT-RBSD) Procedure" is highlighted below. The project Principal Investigator (PI) is Mostafa Tazarv, University of Nevada, Reno. The Research Team includes Saiid Saiidi, University of Nevada, Reno.
Download the Research Project Summary which includes the abstract (PDF)
Research Impact:
This project will enhance the reliability and applicability of the CT-RBSD procedure by improving the underlying capacity models for RC bridge columns. Current models are primarily based on limited experimental datasets for circular columns and do not fully capture the behavior of modern bridge column configurations, including rectangular and interlocking reinforcement systems. By integrating recent experimental data, conducting large-scale shake-table testing, and defining quantitative damage states, this research will provide a more robust and consistent representation of column behavior across multiple damage levels. The development of updated capacity models based on expanded datasets will reduce uncertainty in performance predictions and improve the accuracy of probabilistic seismic design. The integration of the updated models into the CT-RBSD framework ensures that the research outcomes can be directly implemented in Caltrans practice. This will support more consistent performance targets, improved risk-informed design decisions, and enhanced resilience of California’s bridge network. The results will also benefit other state departments of transportation and the broader engineering community engaged in performance-based seismic design.
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