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A NEES Geotechnical Centrifuge at UC Davis. B.L. Kutter - Project Director D.W. Wilson - Managing Director R.W. Boulanger - Civil and Environmental Engineering B. Hamann - Center for Image Processing and Integrated Computing (Computer Science) B. Jeremic - Civil and Environmental Engineering
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A NEES Geotechnical Centrifuge at UC Davis B.L. Kutter - Project Director D.W. Wilson - Managing Director R.W. Boulanger - Civil and Environmental Engineering B. Hamann - Center for Image Processing and Integrated Computing (Computer Science) B. Jeremic - Civil and Environmental Engineering K.-L. Ma - Center for Image Processing and Integrated Computing (Computer Science) J.C. Santamarina - GaTech. Particulate Media Research Laboratory S.A. Velinsky - Advanced Highway Maintenance and Construction Technology Research Center (Mechanical Engineering) S.J.B. Yoo - Optical Switching & Communications Systems Laboratory (Electrical and Computer Engineering)
Network for Earthquake Engineering Simulation • Sponsored by NSF • $82 M over 4 years • Most funding to go toward upgrade of earthquake engineering facilities • NEES is to provide a networked national resource of geographically-distributed, shared-use, next-generation experimental research equipment installations, with teleobservation and teleoperation capabilities. D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
9 m radius centrifuge at UC Davis Swing bucket 1000 hp DC motor D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
MSE Instrumentation D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
cable spaghetti D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
The NGC project at UC Davis • Upgrade centrifuge to reach 80 g • Upgrade existing horizontal shaker • Data Acquisition Systems upgrade and networking • Data Visualization with high resolution projection system • Robot for in-flight construction processes, in-situ tests, and stereo interactive inspection • MEMS accelerometers - hundreds of channels of digital instruments • Tomographic imaging and geophysical testing tools • Biaxial Vertical and Horizontal shaker D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
50 g ~ 70 rpm Up to 96 analog signals are filtered, digitized, and stored on a PC Swing bucket pivot axis Signal amplifiers on the bucket D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
communication w/ amps (adjustable gain) D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
prior to 1994 D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
MEMS: 20 dual-axis accelerometers per cable digital accelerometer on 2-sided PC Board mcontroller, SRAM, tranceiver D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
sensor manager mcontroller SRAM wireless transceiver battery MEMS digital acc. excitation digital communication • miniature sensing element • locate wireless transceiver where communication is possible • distributed system - scalable • parallel or serial arrangement? D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
sensor manager mcontroller SRAM wireless transceiver battery MEMS digital acc. excitation digital communication sensor manager mcontroller SRAM wireless transceiver battery amplifier A/D converter Analog MEMS or other sensors excitation analog / digital communication D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
Sensor “channel” Sensor “channel” Sensor “channel” experiment characteristics auxiliary data / other instruments • apply calibration • A/D conversion • rows, columns • binary • floating point • displacement • loading • sensor id • calibration information • linearity, resolution, bandwidth sensor management analog sensor time stamps data formatting I/O management • voltages experiment analysis / visualization diagnostics and control • Geometry • material properties • sensor location, orientation • preparation process • Video (analog or digital data) • spectral data data formatting time stamps sensor manager sensor characteristics sensor data formatting time stamps sensor characteristics (TEDS) & DAQ characteristics (SCEDS) sensor manager sensor characteristics sensor • pressure • acceleration • displacement instrument model (data only, not control) example quantities D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
Conclusions • Implementation of “high tech” in Civil Engr. • distributed DAQ • networked systems • diverse data sources and sensors • metadata (TEDS) • automatic data reporting • generating data -> visualize and understand • Partnering of facilities to develop and implement advanced technology D.W. Wilson, workshop on Autoadaptive Media, Austin 2001
Acknowledgments • NEES funding - National Science Foundation award CMS - 0086566 • Centrifuge / shaker development supported by • National Science Foundation • University of California • Caltrans • Obayashi Corp. (Japan) D.W. Wilson, workshop on Autoadaptive Media, Austin 2001