A model is developed for determining the farfield strains in laminated composites from the strain values indicated by a microsensing device embedded inside the material. The microsensing device considered here consists of three elements: a sensor, a circuit chip, and an antenna. The sensor detects changes in the strains in the material surrounding the sensor. The circuit chip processes the sensor signals which are then transmitted, via the antenna, to a receiver located outside of the composite. The sensor and the circuit are powered by electromagnetic waves generated outside the material and transmitted to the antenna. The model proposed provides a means by which the signal emitted by the microsensing device, and picked up by a receiver, is converted to the engineering value of the farfield strain, i.e., to the strain which would exist in the material at the location of the sensor if the sensor were not present. On the basis of the model, two computer codes were written. The first code calculates the influence coefficient matrix, which is the parameter required to convert the sensor strain to the farfield strain; the second gives the farfield strain directly from the measured sensor strain. Tests were performed to verify the model and the computer codes. In these tests, a strain gauge, a rectangular steel plate, and a circular steel disk (simulating the components of a microsensing device) were embedded in a glass/epoxy beam. The sensor strains were measured by the embedded sensor; the farfield strains were measured by two surface mounted sensors. The measured farfield strains were compared to the farfield strains calculated by the present model, and good agreements were found between the measured and calculated farfield strains.
[1]
George S. Springer,et al.
Interaction of Electromagnetic Radiation with Organic Matrix Composites
,
1984
.
[2]
James D. Meindl,et al.
Integrated Circuit Implantable Telemetry Systems
,
1983,
Engineering in Medicine and Biology Magazine.
[3]
George S. Springer,et al.
Strain and Temperature Measurement with Fiber Optic Sensors
,
1996
.
[4]
Patricia S. Han,et al.
Remotely queried embedded sensors in composite structures
,
1995,
Smart Structures.
[5]
R. Stuart Mackay.
Biomedical Telemetry: The Formative Years
,
1983,
Engineering in Medicine and Biology Magazine.
[6]
David J Warkentin,et al.
EMBEDDED ELECTRONICS FOR INTELLIGENT STRUCTURES
,
1991
.
[7]
Andrew K. Tay,et al.
Strain analysis of optical fibers embedded in composite materials using finite element modeling
,
1990
.
[8]
J. A. Buck,et al.
Engineering Electromagnetics
,
1967
.
[9]
Lowell Adams,et al.
Bio-Medical Telemetry
,
1969
.
[10]
James D. Meindl,et al.
Implantable Telemetry in Biomedical Research
,
1984,
IEEE Transactions on Biomedical Engineering.
[11]
Mehran Mehregany,et al.
Overview of microelectromechanical systems
,
1993,
Other Conferences.