Bibliographic Details
| Title: |
Influence of weave patterns on tensile, flexural, and short beam shear performance of FRP composites. |
| Authors: |
Saurabh, Sushant1 (AUTHOR), Das Chakladar, Nilanjan1 (AUTHOR) ndaschakladar@mech.iitkgp.ac.in, Deb, Arghya2 (AUTHOR) |
| Source: |
Journal of Reinforced Plastics & Composites. Jun2026, Vol. 45 Issue 11/12, p2777-2794. 18p. |
| Subjects: |
Weaving patterns, Tensile strength, Flexural modulus, Laminated materials, Glass-reinforced plastics, Materials testing |
| Abstract: |
This study evaluates the mechanical performance of laminated composites with distinct weave architectures. Carbon, Glass and Carbon/glass intra-ply hybrid reinforcements were characterised. The selected weave pattern was plain, twill, hybrid, and unidirectional (UD). The novelty lies in selecting a particular weave architecture along with the reinforcement material for a targeted design. Mechanical characterisation included tensile, flexural, and short beam shear tests as per ASTM standards. Fibre volume fraction was measured using burn-off tests. All the test results were normalised with respect to the specimen thickness. The tensile strength of carbon/glass hybrid weave composites increased by 56 % and 45 % than twill carbon and plain carbon weave composites. Its flexural strength was 1.85 and 2.68 times than plain carbon and twill carbon weave composites. The flexural modulus of it was 1.31 and 2.35 times than plain carbon and twill carbon weave composites. Fractography analysis was carried out on the fractured specimens. In tensile and flexural specimens, failures included interfacial debonding, fibre pull-out, and fibre fracture. Hybrid carbon/glass laminates were found to improve flexural strength and modulus, with enhanced ductility due to the presence of glass fibres. This study is expected to provide a design guide for application-specific FRP laminate selection. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Reinforced Plastics & Composites is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |