Impact Response of Self-Reinforced Polypropylene Sandwich Panels: Numerical Analysis
- DOI
- 10.2991/978-94-6463-772-4_27How to use a DOI?
- Keywords
- Self-reinforced composites; Sandwich panels; Numerical; Polypropylene; Impact response
- Abstract
This study introduces a novel self-reinforced sandwich panel design, incorporating a low-density polypropylene (PP) corrugated core between self-reinforced polypropylene (SRPP) face sheets. This structure aims to achieve high energy absorption, good toughness, low density, and full recyclability, addressing key challenges in composite materials for transportation and other industries. Using Abaqus/Explicit, a numerical analysis of the low-velocity impact response was conducted. A nonlinear, 3D finite element model was developed to predict both interlaminar (delamination) and intralaminar (fiber and matrix damage) failure modes, employing Hashin damage criteria and surface-based cohesive behavior. The research demonstrates that damage initiation and appropriate failure criteria can be predicted from the elastic response of the models, offering valuable insights into the performance of these innovative, environmentally friendly sandwich panels under impact conditions.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sourabh Motiram Gaikwad AU - Sharan Chandran AU - Midhun Varma AU - Venkata Sree Harsha AU - Vishnu Vijay Kumar PY - 2025 DA - 2025/07/01 TI - Impact Response of Self-Reinforced Polypropylene Sandwich Panels: Numerical Analysis BT - Proceedings of the 10th International Conference on Science and Technology (ICST 2024) PB - Atlantis Press SP - 293 EP - 316 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-772-4_27 DO - 10.2991/978-94-6463-772-4_27 ID - Gaikwad2025 ER -