Journal article
A numerical model for predicting crack path and modes of damage in unidirectional metal matrix composites
Journal of reinforced plastics and composites, v 12(3), pp 341-358
01 Mar 1993
Abstract
A finite element-based numerical technique has been developed to simulate damage growth in unidirectional composites. This technique incorporates elastic-plastic analysis, micromechanics analysis, failure criteria, and a node splitting and node force relaxation algorithm to create crack surfaces. Any combination of fiber and matrix properties can be used. One of the salient features of this technique is that damage growth can be simulated without pre-specifying a crack path. In addition, multiple damage mechanisms in the forms of matrix cracking, fiber breakage, fiber-matrix debonding and plastic deformation are capable of occurring simultaneously. The prevailing failure mechanism and the damage (crack) growth direction are dictated by the instantaneous near-tip stress and strain fields. Once the failure mechanism and crack direction are determined, the crack is advanced via the node splitting and node force relaxation algorithm. Simulations of the damage growth process in center-slit boron/aluminum and silicon carbide/titanium unidirectional specimens were performed. The simulation results agreed quite well with the experimental observations.
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Details
- Title
- A numerical model for predicting crack path and modes of damage in unidirectional metal matrix composites
- Creators
- J. G. Bakuckas - Department of Mechanical Engineering and Mechanics; Drexel University; Philadelphia PA 19104T. M. Tan - Langley Research CenterA. C. W. Lau - Langley Research CenterJ. Awerbuch - Drexel University
- Publication Details
- Journal of reinforced plastics and composites, v 12(3), pp 341-358
- Publisher
- Sage
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:A1993KU24700007
- Scopus ID
- 2-s2.0-0027559438
- Other Identifier
- 991019184179304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Materials Science, Composites
- Polymer Science