This paper investigates a coherence approach for locating structural damage using modal frequencies and transfer function parameters identified from input-output data using Observer/Kalman filter identification (OKID). Autonomous damage identification using such forward methods generally require (i) a structural model by which to relate measured and predicted modal properties induced by damage, and (ii) good sensitivity of modal parameter changes to damage states. Using the coherence approach, a damage parameter vector comprised of a finite set of modal frequencies and transfer function parameters is hypothesized for each damage case using either identified or analytic structural models. Measured parameter vectors are extracted from experimental input-output data for a damaged structure using OKID and are compared to hypotheses to determine the most likely damage state. The richness of the parameter vector set, which is comprised of high-quality frequency measurements and lower-quality transfer function parameters, is evaluated in order to determine the ability to uniquely localize damage. The method is evaluated experimentally using a three-degree-of-freedom torsional system and a space-frame truss. Damage parameter hypotheses are generated from a model of the healthy structure developed by system identification in the torsional system, and an analytic model is used to generate damage hypotheses for the truss structure. Feedback control laws enhance the parameter vectors by including closed-loop modal frequencies in order to reduce noise sensitivity and improve uniqueness of parameter vector hypotheses to each damage case. Results show improvements in damage identification using damage parameter vectors comprised of open- and closed-loop modal frequencies, even when model error exists in structural models used to form damage parameter vector hypotheses.
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e-mail: jsolbeck@sound-innovations.net
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April 2006
Technical Papers
Damage Identification Using Sensitivity-Enhancing Control and Identified Models
Jason A. Solbeck,
Jason A. Solbeck
Thayer School of Engineering,
e-mail: jsolbeck@sound-innovations.net
Dartmouth College
, 8000 Cummings Hall, Hanover NH 03755
Search for other works by this author on:
Laura R. Ray
Laura R. Ray
Thayer School of Engineering,
Dartmouth College
, 8000 Cummings Hall, Hanover NH 03755
Search for other works by this author on:
Jason A. Solbeck
Thayer School of Engineering,
Dartmouth College
, 8000 Cummings Hall, Hanover NH 03755e-mail: jsolbeck@sound-innovations.net
Laura R. Ray
Thayer School of Engineering,
Dartmouth College
, 8000 Cummings Hall, Hanover NH 03755J. Vib. Acoust. Apr 2006, 128(2): 210-220 (11 pages)
Published Online: June 22, 2005
Article history
Received:
January 3, 2005
Revised:
June 22, 2005
Citation
Solbeck, J. A., and Ray, L. R. (June 22, 2005). "Damage Identification Using Sensitivity-Enhancing Control and Identified Models." ASME. J. Vib. Acoust. April 2006; 128(2): 210–220. https://doi.org/10.1115/1.2159037
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