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Explore our team’s current research areas and available opportunities for investigation here
Performance-Based Seismic Design
Performance-Based Seismic Design
In recent years, significant structural damage observed following major seismic events has highlighted the limitations of traditional design. Consequently, the engineering community is shifting from prescriptive codes toward Performance-Based Seismic Design (PBSD). Under this paradigm, structural behavior is tailored to meet specific performance objectives established in collaboration with owners, engineers, and stakeholders. Our research team focuses on PBSD by implementing probabilistic risk assessments across various performance levels for primary structural systems. By prioritizing the expected seismic response over rigid prescriptive rules, our work facilitates the development of truly resilient structures.
Performance-Based Wind Design
Performance-Based Wind Design
In many regions worldwide, particularly hurricane-prone areas, the hazards posed by extreme wind effects on buildings are a primary concern. To mitigate structural damage and enhance safety, the Performance-Based Wind Design (PBWD) philosophy is rapidly gaining traction within the global structural engineering community. Within this framework, our research team investigates the performance of structures under extreme wind loads. Our methodology involves first capturing the nonlinear structural behavior via finite element analysis, followed by evaluating structural reliability through probabilistic methods. This research represents a significant step toward improving the resilience of buildings in vulnerable coastal regions.
Structural Health Monitoring of Bridges
Structural Health Monitoring of Bridges
Global infrastructure, including buildings, dams, and bridges, is increasingly aging. Critically, many of these structures remain operational despite having exceeded their original design period of life. This extension of service life can compromise structural integrity, necessitating rigorous Structural Health Monitoring (SHM) programs to assess their current condition. Given that bridges are vital components of transport networks, ensuring their integrity is vital. Our research team explores SHM methodologies for bridges by integrating diverse instrumentation, such as GPS devices, strain gauges, accelerometers, and Interferometric Synthetic Aperture Radar (InSAR). By combining these technologies with probabilistic frameworks, we transition from deterministic assessments to stochastic performance modeling.
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