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Claremont Graduate University

Guided Wave Actuation for Enhanced Damage Identification in Carbon Fiber Reinforced Polymer Material Using Electrical Resistance Tomography

Abstract

dc:description.abstract

<p>Carbon fiber reinforced polymer composites (CFRP) are prone to delamination damage which leads to the reduction in the mechanical performance of aerospace structures. Electrical Resistance Tomography (ERT) is a non-destructive evaluation technique that uses surface voltage measurements with electric currents injections in the material to measure electrical conductivity changes induced by damage. Accurate and efficient damage identification in CFRP composites using ERT with hardware limitations on sensor measurements requires techniques for selecting optimum sensing combinations. A novel method to select the optimal sensing configurations for ERT damage identification is proposed and demonstrated. The effectiveness of the method is verified using surrogate model based optimization for damage identification. The physical contact of embedded crack faces leads to current paths through the crack that limits the accuracy and resolution of ERT damage identification. To overcome this limitation, a new hybrid NDE technique that combines wave actuation with ERT is proposed. To enable this hybrid approach, numerical simulations of the forward problem that can predict the effect of wave actuation in a composite with delamination crack on ERT measurements are developed. Discontinuous Galerkin Spectral Element Methods were implemented for the numerical simulation of the wave propagation in laminated composites with embedded delamination. An electromechanical contact model was implemented to translate the mechanical contact to surface contact resistivity on the crack face. This was coupled with Spectral Element Methods solution for the electrical conduction problem in an CFRP laminate with delamination to compute the surface potentials as needed for ERT simulations. Numerical experiments of ERT sensing with wave actuation were investigated for different sensing configurations. The developed methods provided an efficient numerical simulation tool for the ERT forward problem. The results show that the combined wave actuation with current injection can increase the sensitivity in ERT damage detection.</p>

Degree

thesis:*
Name thesis:degree_name
Computational Science Joint PhD with San Diego State University, PhD
Level thesis:degree_level
Restricted to Claremont Colleges Dissertation
Discipline thesis:degree_discipline
Institute of Mathematical Sciences
Year dc:date.available
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Escalona Galvis, Luis Waldo
Contributors dc:contributor
  • David Kopriva
  • Peter Blomgren
  • Ali Nadim

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarship.claremont.edu/cgu_etd/672
OAI identifier oai:identifier
oai:scholarship.claremont.edu:cgu_etd-1694

Chain of custody

source
Harvested from
Claremont Graduate University
Base URL
scholarship.claremont.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Escalona Galvis, Luis Waldo. Guided Wave Actuation for Enhanced Damage Identification in Carbon Fiber Reinforced Polymer Material Using Electrical Resistance Tomography. Restricted to Claremont Colleges Dissertation thesis, 2020. https://scholarship.claremont.edu/cgu_etd/672