Hi! Check out our funded work below.
Strongback and similar spine systems
Collaborative Research: Frame-Spine System with Force-Limiting Connections for Low-Damage Seismic Resilient Buildings. Funded by NSF (Award No. CMMI 1926326) in collaboration with the University of Illinois (Lead PI: Dr. Larry Fahnestock) and Lehigh University (PIs: Dr. Richard Sause and Dr. James Ricles). Work includes shake table testing at E-Defense in collaboration with Kyoto University in Japan.
Collaborative Research: Converging Design Methodology: Multi-objective Optimization of Resilient Structural Spines. Funded by NSF (Award No. CMMI 2120683) with Lead PI Dr. Andre Barbosa and Co-PI Dr. Arijit Sinha in collaboration with Colorado State University (Lead PI: Dr. John van de Lindt) and Pennsylvania State University (PI: Nathan Brown). Work includes shake table testing at the University of California, San Diego.
Innovative Mass Timber Lateral Systems. Funded by the Tallwood Design Institute (http://tallwoodinstitute.org/) with Lead PI Dr. Arijit Sinha and Co-PI Dr. Andre Barbosa. Work includes large-scale testing of hybrid and mass timber spine systems.
Hybrid simulation for fluid-structure interaction
Coupled Aerodynamic and Hydrodynamic Hybrid Simulation of Floating Offshore Wind Turbines. Funded by DOE (Award No. DE-EE0008960) with Co-Pis Dr. Bryson Robertson, Dr. Bryony DuPont, Dr. Pedro Lomonaco, and Dr. Ted Brekken and consultant, Dr. Andreas Schellenberg with Maffei Structural Engineering.
Real-time hybrid experimental-numerical simulation of bridge infrastructure subject to cascading earthquake-tsunami hazards. Funded by PacTrans with Co-Pi Dr. Minjie Zhu.
Fragility database for the state of Oregon
Multi-hazard vulnerability assessment: defining fragilities for the state of Oregon. Funded by the Cascadia Lifelines Program (CLiP) with Dr. Andre Barbosa and Dr. Shafiq Alam.
Real-time simulation
CAREER: Accelerating Real-time Hybrid Physical-Numerical Simulations in Natural Hazards Engineering with a Graphics Processing Unit (GPU)-driven Paradigm. Funded by NSF (Award No. CMMI 2145665). Work includes collaborations with the NSF-NHERI SimCenter, Lehigh, and DesignSafe.
Pilot Study: Learning Fluid-Structure Interaction via Machine Learning. Funded by the Cascadia Lifelines Program (CLiP) and the Pacific Northwest Transportation Consortium (PacTrans) with Dr. Michael Scott.