Test Preview Video: Video Production by UCSD-TV (YouTube)
Test Preview Video: Video Production by UCSD-TV (direct link)
NSF Webcast: Testing for Earthquakes, Inside and Out
Test Video: Behavior of Interior - Level 2
Test Video: Motion from the 2002 Magnitude 7.9 Denali Earthquake - Column Responses
Test Video: Motion from the 2002 Magnitude 7.9 Denali Earthquake - Building Overall Responses
Protecting California's Hospitals - The Preview - UCTV Prime Cuts
Building it Better: Earthquake-Resilient Hospitals for the Future by UCTV
To date, only a handful of full-scale building experiments have been conducted. Of these, none have evaluated the post-earthquake fire performance of the complete building system and only select (in Japan) have they emphasized evaluating nonstructural component and system (NCS) response during earthquake shaking. This belies the fact that NCSs encompass more than 80% of the total investment in building construction and over the past three decades, the majority of earthquake-induced direct losses in buildings are directly attributed to NCS damage.
This landmark project involves earthquake and post-earthquake fire testing of a five-story building built at full-scale and completely furnished with NCSs, including a functioning passenger elevator, partition walls, cladding and glazing systems, piping, HVAC, ceiling, sprinklers, building contents, as well as passive and active fire systems. The NEES-UCSD and NEES-UCLA equipment sites combine to realize this unique opportunity and hence advance our understanding of the full-scale dynamic response and kinematic interaction of complex structural and nonstructural components and systems. Post-earthquake fire and life safety performance of both the structure and NCSs will be evaluated by conducting non-thermal and live fire testing. In addition, this project will investigate the potential for protecting critical NCS systems using, for example, damping and/or isolation methods. Finally, data from this unique experiment will be used to compare with earthquake performance predictions using available commercial and research computational modeling platforms. Findings from these efforts will be immediately translated to practice.