Deakin University
Browse

File(s) under permanent embargo

Predicting low velocity impact damage and compression-after-impact (CAI) behaviour of composite laminates

Version 2 2024-06-06, 11:48
Version 1 2017-10-30, 06:42
journal contribution
posted on 2015-04-01, 00:00 authored by W Tan, B G Falzon, Louis Chiu, M Price
Low-velocity impact damage can drastically reduce the residual strength of a composite structure even when the damage is barely visible. The ability to computationally predict the extent of damage and compression-after-impact (CAI) strength of a composite structure can potentially lead to the exploration of a larger design space without incurring significant time and cost penalties. A high-fidelity three-dimensional composite damage model, to predict both low-velocity impact damage and CAI strength of composite laminates, has been developed and implemented as a user material subroutine in the commercial finite element package, ABAQUS/Explicit. The intralaminar damage model component accounts for physically-based tensile and compressive failure mechanisms, of the fibres and matrix, when subjected to a three-dimensional stress state. Cohesive behaviour was employed to model the interlaminar failure between plies with a bi-linear traction-separation law for capturing damage onset and subsequent damage evolution. The virtual tests, set up in ABAQUS/Explicit, were executed in three steps, one to capture the impact damage, the second to stabilize the specimen by imposing new boundary conditions required for compression testing, and the third to predict the CAI strength. The observed intralaminar damage features, delamination damage area as well as residual strength are discussed. It is shown that the predicted results for impact damage and CAI strength correlated well with experimental testing without the need of model calibration which is often required with other damage models.

History

Journal

Composites part A: applied science and manufacturing

Volume

71

Pagination

212 - 226

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

1359-835X

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2015, Elsevier