INTEGRATION AND DESIGN OF PIEZOCERAMIC ELEMENTS IN INTELLIGENT STRUCTURES (REPRINTED FROM JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, VOL 6, PG 733-743, 1995)
S. Zhou et al., INTEGRATION AND DESIGN OF PIEZOCERAMIC ELEMENTS IN INTELLIGENT STRUCTURES (REPRINTED FROM JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, VOL 6, PG 733-743, 1995), Journal of intelligent material systems and structures, 8(4), 1997, pp. 363-373
The design of induced strain elements (actuators) is a comprehensive i
ssue, involving not only the materials and geometry of the elements, b
ut also the behaviors of the coupled host structures. In particular, t
he design of the active elements is essentially related to the predict
ion of induced strain or stress in the elements. A high stress or stra
in level in the actuators is useful to excite host structures; however
, degradation or fatigue damage of the actuators may take place at the
same time. This pager presents a dynamic analytical approach for the
design and integration of active piezoceramic (PZT) patch elements loc
ally coupled with host structures. Several critical design issues are
addressed. These issues include the determination of the actuator dyna
mic outputs, the prediction of energy conversion efficiency, the estim
ation of system power requirement, and the limitation of induced alter
nate peak stress. A coupled electro-mechanical analytical model was de
veloped to reveal the inherent connections among these issues. Both th
e mechanical stress behavior and the thermal stress characteristics of
the PZT patch elements were investigated. A system power consumption-
based model was developed to estimate the temperature and thermal stre
ss distribution of the elements. The attention in parametric design wa
s directed to the thickness and location of the elements. A simply-sup
ported thin plate with surface-bonded PZT patches was built and tested
to directly measure the induced dynamic strain of the PZT element so
that the prediction accuracy and ability of the design model has been
validated.