UC Structural Dynamics Research Lab
Randy Allemang
An educational and research activity within the Mechanical Engineering Department. The function of this activity is to develop, investigate, and evaluate experimental approaches to the estimation of the dynamic properties of structural systems.
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HP-3565S multiple-input multiple-output digital data acquisition and signal processing hardware
HP-3565S multiple-input multiple-output digital data acquisition and signal processing hardware.
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Agilent VXI 143x Series multiple-input multiple-output digital data acquisition and signal processing hardware
Agilent VXI 143x Series multiple-input multiple-output digital data acquisition and signal processing hardware.
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HP-3561-A Fourier Signal Analyzer
HP-3561-A Fourier Signal Analyzer
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HP-35660-A Fourier Signal Analyzer
HP-35660-A Fourier Signal Analyzer
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HP-35670 4 Channel Fourier Analyzer
HP-35670 4 Channel Fourier Analyzer
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Teac 21 Channel FM Data Recorder
Teac 21 Channel FM Data Recorder
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Teac 7 Channel FM Data Recorder
Teac 7 Channel FM Data Recorder
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Kemo Model VBF40 Filter Amplifier (8 Channels)
Kemo Model VBF40 Filter Amplifier (8 Channels)
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Difa 16 Channel Filter Amplifier
Difa 16 Channel Filter Amplifier
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Wavetek Model 132 Signal Generator
Wavetek Model 132 Signal Generator
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MB 200 pound Electromechanical Shaker
MB 200 pound Electromechanical Shaker
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Ling 5 pound Electromechanical Shaker
Ling 5 pound Electromechanical Shaker
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Zonic Hydraulic Excitation System
Zonic Hydraulic Excitation System
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Hewlett Packard 700 Series Graphics Workstations
The Hewlett Packard 700 Series Graphics Workstations combined with the Hewlett Packard 3565S data acquisition and processing hardware give the UC-SDRL activity extensive measurement and programming capabilities and is being used to evaluate new algorithms and methods relative to experimental modal analysis, system identification, active control, and machinery diagnostics. The Hewlett Packard 700 Series Graphics Workstations provide a true virtual memory computation environment which will facilitate future research work in the areas of modal parameter estimation and finite element modeling. Further computational capability is now available through the College of Engineering Computer Network. This network allows access to any computer within the College and the ability to transfer ASCII and binary files between any two computer systems. All computer systems (workstations and personal computers) within the UC-SDRL are connected to this Network and access to additional Graphics Workstations in the MINE CAE Laboratory is available over this Network.
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