Micro- and Macro-Mechanical Behavior of Inter- and Intra-Laminar Hybrid Composite Laminates with Natural and Synthetic Fibers: RVE Modeling and Classical Laminate Theory

This study investigates the micromechanical and macromechanical behavior of hybrid composite laminates composed of flax and E-glass fibers in an epoxy matrix. At the microscale, effective mechanical properties are determined using Representative Volume Element (RVE) modeling with Periodic Boundary Conditions (PBC), validated against analytical models such as the Modified Halpin-Tsai and the rule of mixtures. At the macroscale, the laminate stiffness is evaluated using Classical Laminate Theory (CLT). Two hybridization configurations with symmetrical ply stacking sequences are analyzed: inter-laminar, where flax and E-glass fibers are distributed in separate plies, and intra-laminar, where both fiber types are combined within each ply. Both configurations maintain a total fiber volume fraction (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</inf>) of 0.5. Results show that the intra-laminar hybrid provides more balanced stiffness, whereas the inter-laminar configuration increases longitudinal stiffness but reduces transverse stiffness while enhancing shear properties. These findings provide insights into the influence of hybridization configurations on composite laminate performance.

Authors

Institutions

Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008290
Primary Topic
Natural Fiber Reinforced Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Micro- and Macro-Mechanical Behavior of Inter- and Intra-Laminar Hybrid Composite Laminates with Natural and Synthetic Fibers: RVE Modeling and Classical Laminate Theory

Hassan Samri, Abdellah Zamma, Salah Nissabouri, Nabil Zerouali
Natural Fiber Reinforced Composites
article

Micro- and Macro-Mechanical Behavior of Inter- and Intra-Laminar Hybrid Composite Laminates with Natural and Synthetic Fibers: RVE Modeling and Classical Laminate Theory

Hassan Samri, Abdellah Zamma, Salah Nissabouri, Nabil Zerouali
article en

Abstract

This study investigates the micromechanical and macromechanical behavior of hybrid composite laminates composed of flax and E-glass fibers in an epoxy matrix. At the microscale, effective mechanical properties are determined using Representative Volume Element (RVE) modeling with Periodic Boundary Conditions (PBC), validated against analytical models such as the Modified Halpin-Tsai and the rule of mixtures. At the macroscale, the laminate stiffness is evaluated using Classical Laminate Theory (CLT). Two hybridization configurations with symmetrical ply stacking sequences are analyzed: inter-laminar, where flax and E-glass fibers are distributed in separate plies, and intra-laminar, where both fiber types are combined within each ply. Both configurations maintain a total fiber volume fraction (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</inf>) of 0.5. Results show that the intra-laminar hybrid provides more balanced stiffness, whereas the inter-laminar configuration increases longitudinal stiffness but reduces transverse stiffness while enhancing shear properties. These findings provide insights into the influence of hybridization configurations on composite laminate performance.

École Normale Supérieure de l'Enseignement Technique de Mohammedia (MA)
Openalex Percentile: Top 91%
Natural Fiber Reinforced Composites
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.