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Earthquake Engineering Research - HKU Libraries - The University ...

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Proceedings of the International Conference on<br />

Advances and New Challenges in <strong>Earthquake</strong><br />

<strong>Engineering</strong> <strong>Research</strong>, Hong Kong Volume<br />

VISION-BASED SENSORS<br />

FOR MONITORING SEISMIC DEMANDS<br />

Tara C. Hutchinson 1 and Falko Kuester<br />

'Department of Civil & Environmental <strong>Engineering</strong><br />

Department of Electrical and Computer <strong>Engineering</strong><br />

<strong>University</strong> of California, Irvine USA 92697<br />

ABSTRACT<br />

A vision-based approach is evaluated for its applicability as a new sensing technology for measuring<br />

earthquake induced motions. Traditional motion sensors used in laboratory and field experiments must<br />

be physically attached to the structure and require cumbersome cabling, configurations and substantial<br />

time for set-up. Moreover, for reduced scale experiments, sensors generally add substantial mass or<br />

change the response characteristics of the system. <strong>The</strong> approach evaluated in this paper is<br />

advantageous since it requires very limited physical attachment to the structure of interest, is highspeed,<br />

high-resolution and does not introduce additional mass or otherwise modify the properties of the<br />

structure. In this exploratory phase, four digital high-speed, high-resolution cameras outfitted with redlight<br />

emitters are used to track reflective (nearly) mass less spherical elements discretely mounted on a<br />

scale 5-story steel frame structure. <strong>The</strong> structure is mounted on the <strong>University</strong> of California, Irvine's<br />

bi-axial shake table and subjected to different earthquake motions. <strong>The</strong> structure is also instrumented<br />

with a total of eleven conventional (wired) transducers (LVDTs and accelerometers) providing a<br />

unique comparison with the vision-based approach. Results from this exploratory study show that the<br />

non-intrusive vision-based approach is extremely promising in terms of its ability to capture inter-story<br />

drift, floor level velocities and accelerations, provided proper post-processing of the data occurs.<br />

INTRODUCTION<br />

Alternative methods of tracking seismic motions are desirable, particularly in the laboratory setting<br />

where scale models are often used to study earthquake response. Many fields, besides earthquake<br />

engineering, require precise high-speed motion tracking and thus new technologies are rapidly<br />

becoming available. Biomechanics, human gait analysis, robotics, virtual reality (VR), gaming and<br />

even entertainment have successfully employed a variety of new motion tracking techniques. Typically<br />

these applications require accurate six degree-of-freedom tracking, expressed by position (x, y, z) and<br />

orientation (yaw, pitch, roll). In earthquake engineering, generally the three positional degrees-offreedom<br />

are the most important motions to track and often only one of these dominates depending<br />

upon the problem. However, high spatial and temporal resolution (high sampling rates), large working<br />

volumes, limited instrumentation time and low-cost are also required. Depending on the particular

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