A new concept of using piezoelectric transducer circuitry with tunable inductance to enhance the performance of frequency-shift-based damage identification method has been recently proposed. While previous work has shown that the frequency-shift information used for damage identification can be significantly enriched by tuning the inductance in the piezoelectric circuitry, a fundamental issue of this approach, namely, how to tune the inductance to best enhance the damage identification performance, has not been addressed. Therefore, this research aims at advancing the state-of-the-art of such a technology by proposing guidelines to form favorable inductance tuning such that the enriched frequency measurement data can effectively capture the damage effect. Our analysis shows that when the inductance is tuned to accomplish eigenvalue curve veering, the change of system eigenvalues induced by structural damage will vary significantly with respect to the change of inductance. Under such curve veering, one may obtain a series of frequency-shift data with different sensitivity relations to the damage, and thus the damage characteristics can be captured more effectively and completely. When multiple tunable piezoelectric transducer circuitries are integrated with the mechanical structure, multiple eigenvalue curve veering can be simultaneously accomplished between desired pairs of system eigenvalues. An optimization scheme aiming at achieving desired set of eigenvalue curve veering is formulated to find the critical inductance values that can be used to form the favorable inductance tuning for multiple piezoelectric circuitries. In the numerical analyses of damage identification, an iterative second-order perturbation-based algorithm is used to identify damages in beam and plate structures. Numerical results show that the performance of damage identification is significantly affected by the selection of inductance tuning, and only when the favorable inductance tuning is used, the locations and severities of structural damages can be accurately identified.

1.
Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W., and Nadler, B.R., 2003, “A Review of Structural Health Monitoring Literature:1996-2001, “Los Alamos National Laboratory Report, LA-13976-MS, Los Alamos, NM.
2.
Doebling
S. W.
,
Farrar
C. R.
, and
Prime
M. B.
,
1998
, “
Summary Review of Vibration-based Damage Identification Methods
”,
Shock and Vibration Digest
,
30
(
2)
, pp.
91
105
.
3.
Doebling, S.W., Farrar, C.R., Prime, M.B., and Shevitz, D.W., 1996, “Damage Identification and Health Monitoring of Structural and Mechanical Systems From Changes in Their Vibration Characteristics: A Literature Review”, Los Alamos National Laboratory Report LA-13070-MS, Los Alamos, NM.
4.
Cornwell, P., Kan, M., Carlson, B., Hoerst, L.B., Doebling, S.W., and Farrar, C.R., 1998, “Comparative Study of Vibration-based Damage ID Algorithms”, Proceedings of the 16th International Modal Analysis Conference, Santa Barbara, CA, Vol. 2, pp. 1710–1716.
5.
Salawu
O. S.
,
1997
, “
Detection of Structural Damage Through Changes in Frequency: A Review
”,
Engineering Structures
,
19
(
9)
, pp.
718
723
.
6.
Dascotte, E., 1990, “Practical Application of Finite Element Tuning Using Experimental Modal Data,” Proceedings of the 8th International Modal Analysis Conference, Kissimmee, FL, pp. 1032-1037.
7.
Friswell, M.I., and Penny, J.E.T., 1997, “The Practical Limits of Damage Detection and Location Using Vibration Data”, Proceedings of the 11th VPI&SU Symposium on Structural Dynamics and Control, Blacksburg, VA, pp. 31-40.
8.
Cha
P. D.
, and
Gu
W.
,
2000
, “
Model Updating Using an Incomplete Set of Experimental Modes
”,
Journal of Sound and Vibration
,
233
(
4)
, pp.
587
600
.
9.
Nalitolela
N. G.
,
Penny
J. E. T.
, and
Friswell
M. I.
,
1992
, “
Mass or Stiffness Addition Technique for Structural Parameter Updating
”,
Modal Analysis: The International Journal of Analytical and Experimental Modal Analysis
,
7
(
3)
, pp.
157
168
.
10.
Lew
J.-S.
, and
Juang
J. N.
,
2002
, “
Structural Damage Detection Using Virtual Passive Controllers
”,
Journal of Guidance, Control, and Dynamics
,
25
(
3)
, pp.
419
424
.
11.
Koh
B. H.
, and
Ray
L. R.
,
2004
, “
Feedback Controller Design for Sensitivity-based Damage Localization
”,
Journal of Sound and Vibration
,
273
(
1–2)
, pp.
317
335
.
12.
Jiang
L. J.
,
Tang
J.
, and
Wang
K. W.
,
2006
, “
An Enhanced Frequency-shift-based Damage Identification Method Using Tunable Piezoelectric Transducer Circuitry
”,
Smart Materials and Structures
,
15
(
3)
, pp.
799
808
.
13.
Senani
R.
,
1980
, “
New Tunable Synthetic Floating Inductors
”,
Electronics Letters
,
16
(
10)
, pp.
382
283
.
14.
Abuelma’atti
M. T.
, and
Khan
M. H.
,
1995
, “
Current-controlled OTA-based Single-capacitor Simulations of Grounded Inductors
”,
International Journal of Electronics
,
78
(
5)
, pp.
881
885
.
15.
Gift
Stephan J. G.
,
2004
, “
New Simulated Inductor Using Operational Conveyors
”,
International Journal of Electronics
,
91
(
8)
, pp.
477
483
.
16.
Agnes
G. S.
,
1995
, “
Development of A Modal Model for Simultaneous Active and Passive Piezoelectric Vibration Suppression
”,
Journal of Intelligent Material Systems and Structures
,
6
(
4)
, pp.
482
487
.
17.
Tsai
M. S.
, and
Wang
K. W.
,
1999
, “
On the Structural Damping Characteristics of Active Piezoelectric Actuators With Passive Shunt
”,
Journal of Sound and Vibration
,
221
(
1)
, pp.
1
22
.
18.
Tang
J.
,
Liu
Y.
, and
Wang
K. W.
,
2000
, “
Semiactive and Active-passive Hybrid Structural Damping Treatments via Piezoelectric Materials
”,
Shock and Vibration Digest
,
32
(
3)
, pp.
189
200
.
19.
Tang
J.
, and
Wang
K. W.
,
2004
, “
Vibration Confinement via Optimal Eigenvector Assignment and Piezoelectric Network
”,
Transactions of the ASME: Journal of Vibration and Acoustics
,
126
(
1)
, pp.
27
36
.
20.
Stubbs
N.
, and
Osegueda
R.
,
1990
, “
Global Non-destructive Damage Evaluation in Solids
”,
Modal Analysis: The International Journal of Analytical and Experimental Modal Analysis
,
5
, pp.
67
79
.
21.
Richardson, M.H., and Mannan, M.A., 1992, “Remote Detection and Location of Structural Faults Using Modal Parameters”, Proceedings of the 10th International Modal Analysis Conference, San Diego, CA, pp. 502-507.
22.
Xia
Y.
, and
Hao
H.
,
2003
, “
Statistical Damage Identification of Structures With Frequency Changes
”,
Journal of Sound and Vibration
,
263
(
4)
, pp.
853
870
.
23.
Meneghetti, U., Maggiore, A., 1994, “Crack Detection by Sensitivity Analysis”, Proceedings of the 12th International Modal Analysis Conference, Honolulu, HI, pp. 1292-1298.
24.
Hassiotis
S.
, and
Jeong
G. D.
,
1995
, “
Identification of Stiffness Reduction Using Natural Frequencies
”,
Journal of Engineering Mechanics
,
121
(
10)
, pp.
1106
1113
.
25.
Morassi
A.
, and
Rovere
N.
,
1997
, “
Localizing a Notch in a Steel Frame From Frequency Measurements
”,
Journal of Engineering Mechanics
,
123
(
5)
, pp.
422
432
.
26.
Wong
C. N.
,
Zhu
W. D.
, and
Xu
G. Y.
,
2004
, “
On an Iterative General-order Perturbation Method for Multiple Structural Damage Detection
”,
Journal of Sound and Vibration
,
273
(
1–2)
, pp.
363
386
.
27.
Leissa
A. W.
,
1974
, “
On a Curve Veering Aberration
,”
Journal of Applied Mathematics and Physics (ZAMP)
,
25
(
1)
, pp.
99
111
28.
Kutter
J. R.
, and
Sigillito
V. G.
,
1981
, “
On Curve Veering
”,
Journal of Sound and Vibration
,
75
, pp.
585
588
.
29.
Perkins
N. G.
, and
Mote
C. D.
,
1986
, “
Comments on Curve Veering in Eigenvalue Problems
”,
Journal of Sound and Vibration
,
106
(
3)
, pp.
451
463
.
30.
Pierre
C.
,
1988
, “
Mode Localization and Eigenvalue Loci Veering Phenomena in Disordered Structures
”,
Journal of Sound and Vibration
,
126
(
3)
, pp.
485
502
.
31.
Liu
X. L.
,
2002
, “
Behavior of Derivatives of Eigenvalues and Eigenvectors in Curve Veering and Mode Localization and Their Relation to Close Eigenvalues
”,
Journal of Sound and Vibration
,
256
(
3)
, pp.
551
564
.
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