Abstract
Adhesive bonding is a promising joining method for composite materials. This article focuses on the use of modal content-based damage indicators to improve the sensitivity of guided waves to disbonds in the adhesive. Wave-defect interaction is modeled using frequency-domain finite element analysis in order to identify modes sensitive to adhesive degradation in joints between carbon fiber–reinforced polymer laminates. Phased array transducers and multielement array sensors designed for structural health monitoring are employed to enable preferential mode excitation and modal content extraction, respectively. The domains in dispersion curve space predicted to have good, intermediate, and no sensitivity to disbond were experimentally found to have good, intermediate, and limited sensitivity using a feature of the received signals associated with the modal amplitude or a modal amplitude ratio. Furthermore, the modal amplitude was found to decrease monotonically with increasing disbond size, demonstrating that it has potential to quantitatively size disbonds.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 491-504 |
| Number of pages | 14 |
| Journal | Structural Health Monitoring |
| Volume | 15 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 1 2016 |
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All Science Journal Classification (ASJC) codes
- Biophysics
- Mechanical Engineering
Cite this
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Modal content-based damage indicators for disbonds in adhesively bonded composite structures. / Ren, Baiyang; Lissenden, III, Clifford Jesse.
In: Structural Health Monitoring, Vol. 15, No. 5, 01.09.2016, p. 491-504.Research output: Contribution to journal › Article
TY - JOUR
T1 - Modal content-based damage indicators for disbonds in adhesively bonded composite structures
AU - Ren, Baiyang
AU - Lissenden, III, Clifford Jesse
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Adhesive bonding is a promising joining method for composite materials. This article focuses on the use of modal content-based damage indicators to improve the sensitivity of guided waves to disbonds in the adhesive. Wave-defect interaction is modeled using frequency-domain finite element analysis in order to identify modes sensitive to adhesive degradation in joints between carbon fiber–reinforced polymer laminates. Phased array transducers and multielement array sensors designed for structural health monitoring are employed to enable preferential mode excitation and modal content extraction, respectively. The domains in dispersion curve space predicted to have good, intermediate, and no sensitivity to disbond were experimentally found to have good, intermediate, and limited sensitivity using a feature of the received signals associated with the modal amplitude or a modal amplitude ratio. Furthermore, the modal amplitude was found to decrease monotonically with increasing disbond size, demonstrating that it has potential to quantitatively size disbonds.
AB - Adhesive bonding is a promising joining method for composite materials. This article focuses on the use of modal content-based damage indicators to improve the sensitivity of guided waves to disbonds in the adhesive. Wave-defect interaction is modeled using frequency-domain finite element analysis in order to identify modes sensitive to adhesive degradation in joints between carbon fiber–reinforced polymer laminates. Phased array transducers and multielement array sensors designed for structural health monitoring are employed to enable preferential mode excitation and modal content extraction, respectively. The domains in dispersion curve space predicted to have good, intermediate, and no sensitivity to disbond were experimentally found to have good, intermediate, and limited sensitivity using a feature of the received signals associated with the modal amplitude or a modal amplitude ratio. Furthermore, the modal amplitude was found to decrease monotonically with increasing disbond size, demonstrating that it has potential to quantitatively size disbonds.
UR - http://www.scopus.com/inward/record.url?scp=84985916850&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985916850&partnerID=8YFLogxK
U2 - 10.1177/1475921716650627
DO - 10.1177/1475921716650627
M3 - Article
AN - SCOPUS:84985916850
VL - 15
SP - 491
EP - 504
JO - Structural Health Monitoring
JF - Structural Health Monitoring
SN - 1475-9217
IS - 5
ER -