Key research themes
1. How can spectral shape indicators improve seismic ground motion record selection and nonlinear structural response prediction?
This research theme investigates intensity measures (IMs) that capture the elastic spectral shape of earthquake ground motions beyond traditional spectral acceleration at the first modal period (S_a(T1)). These IMs aim to better represent structural nonlinear response, especially collapse capacity, by accounting for variability in ground motion spectral shapes that standard uniform hazard spectra (UHS) or magnitude-distance based selection may not capture. Improving ground motion record selection using spectral shape metrics reduces conservative bias and enhances collapse simulation reliability.
2. What are the effects of ground motion duration and seismic source properties on the damage and collapse risk of steel moment-resisting frames?
This theme explores how earthquake ground motion characteristics, particularly duration and spectral content, influence structural damage accumulation and collapse probabilities in steel special moment frames. It addresses the limitations of current design codes dominated by shallow crustal earthquake data not fully accounting for long-duration megathrust events. Further, it evaluates statistical frameworks integrating ground motion uncertainty, nonlinear dynamic simulations, and seismic hazard information to quantify performance levels in steel moment-resisting frames under variable seismic scenarios.
3. How does frequency-dependent variation in moment tensor components enhance understanding of earthquake source processes?
This theme focuses on the frequency dependence of seismic moment tensor components, revealing complex rupture mechanics involving shear and tensile failure modes that vary by frequency content. By inverting seismic data in multiple frequency bands, the evolution of isotropic, double-couple, and compensated linear vector dipole components can be analyzed, offering insights into fluid injection effects, crack opening processes, and rupture geometry at different scales. This approach refines source characterization beyond standard frequency-independent moment tensor inversion methods.