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Nondestructive Phase Variation-Based Chipless Sensing Methodology for Metal Crack Monitoring

Maryam Norouzi, Nasser Masoumi, Hamid Jahed

2021IEEE Transactions on Instrumentation and Measurement37 citationsDOI

Abstract

This article presents a new methodology for structural health monitoring (SHM) applications using a passive microwave sensor. This sensor provides sensitivities on metallic structures for nondestructive testing (NDT) and detecting fatigue cracks or damages. In this method, two different microstrip-based designs are mounted on metal, spiral, and comb sensing structures. Both sensing structures are interrogated by a 2.45 GHz signal in CST Microwave Studio, and their sensitivities for crack detection are compared through the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> scattering parameter. We demonstrate that measuring the reflected signal’s phase parameter from a sensor on a damaged metal provides information from the surface crack by comparing it to the same metal without any crack. The vision is to provide a new chipless, low-cost sensor with increased detection reliability and durability in harsh environments. Simulation results of the comb sensing (CS) structure show that the signal phase shift caused by a crack envisions the possibility of submillimeter-width crack detection through smart structures.

Topics & Concepts

Nondestructive testingSIGNAL (programming language)Structural health monitoringAcousticsMicrowaveMaterials scienceChipless RFIDDurabilityPhase (matter)Electronic engineeringSpiral (railway)Structural engineeringComputer scienceEngineeringMechanical engineeringOptoelectronicsComposite materialTelecommunicationsPhysicsResonatorProgramming languageQuantum mechanicsRFID technology advancementsMicrowave and Dielectric Measurement TechniquesAcoustic Wave Resonator Technologies
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