期刊
COMPOSITE STRUCTURES
卷 284, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2021.115108
关键词
Polymer-matrix composites (PMCs); Delamination; Computational modeling; Damage mechanics; Joints; joining
资金
- RISE Research Institute of Sweden [SK25110-1860]
- Agency for Science, Technology, and Research (A*STAR) , Singapore under Polymer Matrix Composites Programme (PMCP - WP1-1) project [A19C1a0044 (NUS WBS R265000673305)]
This research paper presents an experimental test setup and a 3D physically-based progressive damage model to predict the failure load of hybrid bolted joints between composite materials and metals. The study shows that numerical models can be used to aid in the design of stiffness and strength in bolted joints.
Hybrid bolted joints between composite materials and metals are an example of composites' sensitivity to notches. The current research paper presents an experimental test setup on single-lap shear bolted joints of a unidirectional (UD) composite laminate with steel plate exposed to a tensile load. A 3D explicit finite element (FE) simulation is developed using ABAQUS/Explicit and a 3D physically-based progressive damage model in the VUMAT subroutine. The model can identify the locations of delamination represented by the fully damaged plies among other degrading properties. Then damage and cohesivecontact surfaces are defined in the respected damaged plies, for the material interface, to simulate interlaminar damage and delamination. The predicted failure load was significantly influenced by the combination of a 3D physically-based progressive damage model and damage and cohesive surfaces. The combined model can reproduce with accuracy the experimental load-displacement test curves up to the point where bearing damage occurs. Experimental results using DIC measurement are presented to demonstrate the feasibility of the methodology. The study shows that numerical models can be used to help in the stiffness and strength design of the bolted joints of composites and metals, but further improvements are necessary to predict the energy absorption.
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