The NEES geotechnical centrifuge at UC Davis
TL;DRAbstract
The Center for Geotechnical Modeling at UC Davis operates a 9.1-m radius geotechnical centrifuge equipped with a 2 m x 1 m servo-hydraulic shaking table. This equipment has been used in geotechnical earthquake engineering research since 1994. In October 2000, UC Davis was selected as a host equipment site on the National Science Foundation's George E. Brown, Jr., Network for Earthquake Engineering Simulation. This four-year upgrade project represents a $5M investment in the UC Davis centrifuge facilities by NSF with an additional $1M from UC Davis. NEES at UC Davis capitalized on the size of the centrifuge and innovations in instrumentation and information technology to enable generation of higher resolution information (control, sensors, and images) and to create more realistic physical models. With NEES the Center for Geotechnical Modeling is working to implement advanced instrumentation, digital video, robotics, and geophysical testing to increase the quality and quantity of data th
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The Center for Geotechnical Modeling at UC Davis operates a 9.1-m radius geotechnical centrifuge equipped with a 2 m x 1 m servo-hydraulic shaking table. This equipment has been used in geotechnical earthquake engineering research since 1994. In October 2000, UC Davis was selected as a host equipment site on the National Science Foundation's George E. Brown, Jr., Network for Earthquake Engineering Simulation. This four-year upgrade project represents a $5M investment in the UC Davis centrifuge facilities by NSF with an additional $1M from UC Davis. NEES at UC Davis capitalized on the size of the centrifuge and innovations in instrumentation and information technology to enable generation of higher resolution information (control, sensors, and images) and to create more realistic physical models. With NEES the Center for Geotechnical Modeling is working to implement advanced instrumentation, digital video, robotics, and geophysical testing to increase the quality and quantity of data th
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