Multilayer Frequency Selective Surface-based
Sensing for Structural Health Monitoring of Layered
Publication: Publication Date: 1 October 2016Testing Method: ,
Recently, frequency selective surfaces (FSSs) have
been shown to have potential as embedded structural
health monitoring (SHM) sensors. An FSS is
an array of metallic elements that provides a
filtering response to incident electromagnetic
energy. This filtering response, caused by inductive
and capacitive coupling between the elements,
depends on the FSS geometry (that is, element
shape, spacing, and dimensions) and local (to the
FSS) environment (that is, material properties,
temperature, and so on). Consequently, this
dependency can be utilized for SHM sensing.
Previous work has shown that FSS-based sensors
can be used to detect delaminations and disbonds
in layered media because of the effect of the
delamination on the capacitance of the FSS.
Additionally, it was found that this sensing capability
is limited to the region local to the FSS,
limiting the FSS’s sensing ability in larger structures.
Thus, this investigation proposes the use of
multiple FSS layers located throughout a layered
structure to provide wider sensing coverage and
allow different regions of the structure to be independently
monitored. To accomplish this, a series
of simulations and measurements were conducted
on a set of two FSS sensors integrated into a
layered dielectric structure. Each sensor was
designed to have different resonant frequencies,
allowing the two sensors to be individually
monitored. Using full wave simulation, it was found
that the frequency response of a given FSS sensor
is more sensitive to local delaminations, while FSS
sensors located elsewhere in the structure remain
essentially unaffected. This indicates that multiple
FSS sensors can be used to provide broad sensing
coverage of a layered structure. Simulated and
measured results were in good agreement with
respect to the effect of delaminations on resonant
frequency, but resonant depth was found to be
less consistent between measurement and simulation.
As such, the use of resonant depth for delamination
monitoring may not be a reliable sensing
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