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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 />

INNOVATIVE APPROACHES FOR STRUCTURAL HEALTH<br />

MONITORING OF INTELLIGENT INFRASTRUCTURE SYSTEMS<br />

Raymond W. Wolfe 1 , Sami F. Masri 2 , and John Caffrey 2<br />

Supervising Bridge Engineer, California Department of Transportation, Sacramento, CA, USA<br />

2 Department of Civil <strong>Engineering</strong>, <strong>University</strong> of Southern California, Los Angeles, CA, USA<br />

ABSTRACT<br />

Intelligent infrastructure components (e.g., MR dampers) possessing adaptive features<br />

are being seriously considered for deployment in civil infrastructure systems in highly<br />

seismic regions throughout the world. Due to the long service life and harsh<br />

environments that such components may be subjected to, it is essential to have a<br />

reliable and efficient procedure for condition assessment of these components based<br />

on the analysis of their vibration signature.<br />

This paper presents an overview of some promising approaches based on nonlinear<br />

system identification techniques to detect slight changes in the characteristics of<br />

nonlinear dampers of the type commonly encountered in structural control<br />

applications involving large civil infrastructure systems such as bridges. By<br />

characterizing the restoring-force surface of the damper in a nonparametric form, and<br />

subsequently analyzing the higher-order statistics of the coefficients defining such<br />

surfaces, it is found that the associated probability density function of the identified<br />

coefficients furnishes a sensitive indicator of the underlying damper parameters. Both<br />

simulation results as well as experimental measurements from a prototype nonlinear<br />

viscous damper are presented to illustrate the approach and discuss its range of<br />

validity. Sensor requirements for field implementation are also discussed.<br />

1. INTRODUCTION<br />

Large-scale civil infrastructure design and construction present an interesting class of<br />

problems related to the large dynamic demands from wind and seismic events.<br />

Engineers are searching for new ways to handle the large forces and displacements<br />

generated from such events. Strength design concepts are yielding to more elegant<br />

and efficient energy dissipative devices such as large-scale viscous dampers. <strong>The</strong><br />

reliance on these devices to dissipate energy stemming from wind and seismic<br />

occurrences makes them integral components to the success of the design to withstand<br />

such events. Failure of a viscous damper can portend potentially catastrophic<br />

localized or large-scale system failure, as the adjoining members are sized based on<br />

the energy absorbed by the dampers. Given the criticality of the damper elements to<br />

the success of the design strategies being implemented on these large structures, a<br />

means of evaluating their in-situ health is imperative.

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