Mechanical and Civil Engineering Seminar
Tall buildings have become a staple of the central business district in cities such as Los Angeles,
San Francisco and San Diego. They facilitate increased residential and commercial development, offering
higher density occupancy compared to their low-rise counterparts on the same area of land. This
presentation will showcase data, tools and methodologies that have been developed to enable the use of
remote sensing to assess and enhance the seismic resilience of tall buildings in dense urban environments.
First data-driven and hybrid (combination of data-driven and mechanistic) methodologies for
reconstructing seismic responses within and across multiple buildings will be presented. Methodologies
that make use of measured seismic responses and/or field observations to support rapid assessment of
earthquake-induced building damage and performance will also be discussed. Additionally, a framework
that integrates the Markov Process with Dynamic Programming to support time-dependent optimal
decision-making for mainshock-damaged tall buildings in the aftershock environment will be presented.
The objective is to minimize the cumulative expected aftershock loss from various sources such as the cost
of repairing structural and nonstructural damage, fatalities due to collapse and functional disruption. The
presentation will also showcase several datasets have been generated, curated and assembled as part of the
overall project, including scenario-based ground motion records and building seismic responses generated
from nonlinear response history analyses and recorded during historical earthquakes.