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June 3, 2026Journal of Composites Science0 citationsOpen Access

Energy-Based Interpretation and GLM Analysis of Yarn Pullout in Laminate Test for Bonding Assessment of Woven Fabric-Reinforced Laminates

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ALAng LiFAFeyi AdekunleRVRahul Vallabh

Key Points

  • This research aims to evaluate the bonding strength of woven fabric-reinforced laminates using an energy-based metrics approach.
  • Developed yarn pullout in laminate (YPiL) test for assessing bonding strength in woven FRLs with 187 specimens.
  • Analyzed force-displacement behavior across three zones: bonding, interfacial debonding, and drag friction/sliding.
  • Utilized a numeric general linear model (GLM) to assess the influence of fabric-to-adhesive weight ratios on bonding metrics.
  • As the fabric-to-adhesive weight ratio (r) increased, maximum pullout force (Fmax), pre-peak energy (E1), energy to slope-break point (E2), and total pullout energy (Etotal) all decreased.
  • The interaction between pullout yarn width and r consistently ranked second in influence for all models, highlighting the effect of r on wider pullout yarns.
  • The Etotal model exhibited strong sensitivity to bonding differences with R2 = 0.94 and RMSE = 12.42 mJ.

Abstract

Woven fabric-reinforced laminates (FRLs) are widely used in flexible composite structures where fabric-adhesive bonding strongly influences load transfer, energy dissipation, and structural integrity. Recently, our team developed a yarn pullout in laminate (YPiL) test for bonding assessment in woven FRLs to overcome the limitations of the cumbersome T-peel test, with a focus on maximum pullout force. This study advanced the YPiL with an energy-based framework in which the force–displacement curve is interpreted using three zones: bonding, interfacial debonding, and drag friction/sliding associated with four metrics: maximum pullout force (Fmax), pre-peak energy (E1), energy to the slope-break point (E2), and total pullout energy (Etotal). A dataset of 187 specimens covering four plain-woven Kevlar structures and five fabric-to-adhesive weight ratios (r = 0.67–2.83) was analyzed using a numeric general linear model (GLM). The dominant factor was r, with Fmax, E1, E2, and Etotal all decreasing as r increased. The interaction between pullout yarn width and r ranked second in every model, confirming a stronger r effect in fabrics with wider pullout yarns. The energy-based metrics, particularly Etotal, were more sensitive than Fmax to structural and bonding differences, and the Etotal model achieved R2 = 0.94 with Root Mean Square Error (RMSE) = 12.42 mJ.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc696dee9eb8c0dce79d2https://doi.org/10.3390/jcs10060299
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