Embedded Sensing of Damage in Composite Materials

Hall, Asha; Haile, Mulugeta; Coatney, Michael; Bradley, Natasha; Yoo, Jin Hyeong

doi:10.12783/shm2017/14009

Cited by 1 publication

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“… ( a ) Condition monitoring of composite structure [ 9 , 10 ] shows the P point when the early detection should be started; ( b ) Fatigue damage evolution in the composite material [ 2 ] shows no change in global stiffness when the incubation of embryonic damage precursor is underway. …”

Section: Figurementioning

confidence: 99%

Material State Awareness for Composites Part I: Precursor Damage Analysis Using Ultrasonic Guided Coda Wave Interferometry (CWI)

Patra

Banerjee

2017

Materials

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Detection of precursor damage followed by the quantification of the degraded material properties could lead to more accurate progressive failure models for composite materials. However, such information is not readily available. In composite materials, the precursor damages—for example matrix cracking, microcracks, voids, interlaminar pre-delamination crack joining matrix cracks, fiber micro-buckling, local fiber breakage, local debonding, etc.—are insensitive to the low-frequency ultrasonic guided-wave-based online nondestructive evaluation (NDE) or Structural Health Monitoring (SHM) (~100–~500 kHz) systems. Overcoming this barrier, in this article, an online ultrasonic technique is proposed using the coda part of the guided wave signal, which is often neglected. Although the first-arrival wave packets that contain the fundamental guided Lamb wave modes are unaltered, the coda wave packets however carry significant information about the precursor events with predictable phase shifts. The Taylor-series-based modified Coda Wave Interferometry (CWI) technique is proposed to quantify the stretch parameter to compensate the phase shifts in the coda wave as a result of precursor damage in composites. The CWI analysis was performed on five woven composite-fiber-reinforced-laminate specimens, and the precursor events were identified. Next, the precursor damage states were verified using high-frequency Scanning Acoustic Microscopy (SAM) and optical microscopy imaging.

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Section: Figurementioning

confidence: 99%