Analysis of bending stiffness reduction in thin woven composites under large curvatures
| dc.contributor.author | Ranatunga, PM | |
| dc.contributor.author | Weerasekara, L | |
| dc.contributor.author | Gayashan, T | |
| dc.contributor.author | Mallikarachchi, C | |
| dc.date.accessioned | 2025-12-10T06:07:56Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Ultra-thin woven fiber composites are widely used in space structures due to their high weight to strength ratio. However, when subjected to high curvature bending, these composites experience a reduction in bending stiffness, which can hinder their structural performance. This research investigates the underlying mechanisms contributing to this stiffness reduction, focusing on two key factors: nonlinear geometric deformations of the tows and cohesion between tows. A multiscale modeling approach is employed, utilizing a representative unit cell to capture the meso-scale behavior of the woven composite. Analysis of simulation results indicates that nonlinear geometric deformations contribute less significantly to stiffness reduction while the loss of cohesion between tows plays a dominant role. | |
| dc.identifier.conference | Moratuwa Engineering Research Conference 2025 | |
| dc.identifier.department | Engineering Research Unit, University of Moratuwa | |
| dc.identifier.email | ranatungapamith@gmail.com | |
| dc.identifier.email | yasithcm@uom.lk | |
| dc.identifier.faculty | Engineering | |
| dc.identifier.isbn | 979-8-3315-6724-8 | |
| dc.identifier.pgnos | pp. 539-544 | |
| dc.identifier.proceeding | Proceedings of Moratuwa Engineering Research Conference 2025 | |
| dc.identifier.uri | https://dl.lib.uom.lk/handle/123/24565 | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.subject | Bending stiffness reduction | |
| dc.subject | Woven composites | |
| dc.subject | Nonlinear analysis | |
| dc.subject | Cohesion | |
| dc.title | Analysis of bending stiffness reduction in thin woven composites under large curvatures | |
| dc.type | Conference-Full-text |
