<div><p>Carbon fibre reinforced polymers
(CFRPs) are extensively used in aerospace, automotive and other weight-conscious applications
for their high strength-to-weight ratio. Utilization of these lightweight materials unfortunately also involves dealing with damages unlike those seen in traditional monolithic
materials. This includes invisible, below-the-surface damages such as matrix
cracking, delaminations, fibre breakage, etc. that are difficult to spot
outwardly in their early stages. Robust methods of damage detection and health
monitoring are hence important. With the intention of avoiding weight addition
to the structure to monitor its usability, it would be desirable to utilize an
inherent property of these materials, such as its electrical conductivity, as
an indicator of damage to render the material as self-sensing.</p>
<p>To this end, electrical impedance
tomography (EIT) has been explored for damage detection and health monitoring
in self-sensing materials due to its ability to spatially localize damage via
non-invasive electrical measurements.</p>
<p>Presently, EIT has been applied mainly
to materials possessing lesser electrical anisotropy than is encountered in
CFRPs (e.g. nanofiller-modified polymers and cements), with experimental setups
involving electrodes placed at the edges of plates. The inability of EIT to effectively
tackle electrical anisotropy limits its usage in CFRP structures. Moreover,
most real structures of complex geometries lack well-defined edges on which
electrodes can be placed. Therefore, in this thesis, we confront these limitations
by presenting a study into the effect of EIT sensitivity matrix
formulation and surface-mounted electrodes on damage detection and localization in CFRPs.</p>
<p>In this work, the conductivity is
modeled as being anisotropic, and the sensitivity matrix is formed using three
approaches – with respect to i) a scalar multiple of the conductivity tensor,
ii) the in-plane conductivity, and iii) the through-thickness conductivity. It
was found that through-hole damages can be adeptly identified with a combination
of surface-mounted electrodes and a sensitivity matrix formed with respect to
either a scalar multiple of the conductivity tensor or the in-plane
conductivity. This theory was first validated on a CFRP plate to detect a
single through-hole damage. Furthermore, EIT was also used to successfully detect
both through-hole and impact damages on a non-planar airfoil shaped structure.</p>
<p>Singular value decomposition (SVD)
analysis revealed that the rank of the sensitivity matrix is not affected by
the conductivity term with respect to which the sensitivity matrix is formed. The results presented here are
an important step towards the transition of EIT based diagnostics to real-life
CFRP structures.</p><p></p></div><div><div><br></div></div>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/14813463 |
| Date | 23 July 2021 |
| Creators | Monica Somanagoud Sannamani (10997835) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/The_role_of_sensitivity_matrix_formulation_on_damage_detection_via_EIT_in_non-planar_CFRP_laminates_with_surface-mounted_electrodes/14813463 |
Page generated in 0.0018 seconds