FE PROGRESSIVE FAILURE ANALYSIS OF ALL-GFRP PULTRUDED BEAM-COLUMN BOLTED JOINTS

Author(s):  
Carlo Casalegno ◽  
Salvatore Russo
2018 ◽  
Vol 25 (1) ◽  
pp. 75-83 ◽  
Author(s):  
Jifeng Zhang ◽  
Qiang Xie ◽  
Yonggang Xie ◽  
Limin Zhou ◽  
Zhenqing Wang

AbstractFour different local reinforcement schemes used in composite bolted joints were studied. In numerical study, a set of 3-D failure criteria was used and the progressive failure analysis was implemented via user-defined subroutine vectorized user-material (VUMAT), which was programmed by the commercial finite element (FE) software ABAQUS. In the experiment, test specimens were manufactured with different local reinforcement schemes, and the mechanical performances of these specimens were tested under tensile loads. Failure modes of these specimens were observed and mechanical performances of test specimens with local reinforcement were studied. It was found that the numerical results agreed well with the experiment. It was also found that local reinforcement schemes influenced the mechanical performances of bolted joints obviously and that the tensile strength of composite bolted joints could be improved significantly by burying laminate slices.


2013 ◽  
Vol 95 ◽  
pp. 53-62 ◽  
Author(s):  
Diego Cárdenas ◽  
Hugo Elizalde ◽  
Piergiovanni Marzocca ◽  
Frank Abdi ◽  
Levon Minnetyan ◽  
...  

2013 ◽  
Vol 821-822 ◽  
pp. 1479-1483
Author(s):  
Bi Ling Yang ◽  
Sen Liu ◽  
Xiao Xia He ◽  
Shao Qiong Zheng

Thermoplastic self-reinforced polyethylene (PE/PE) composites were tested under quasi-static tensile load and the failure processes weremonitored by Acoustic Emission (AE) technique. The AE signals were collected and clustered by Unsupervised Pattern Recognition (UPR) scheme. The initiation and progression of the damage mechanisms in the composites can then be reviewed by the cumulative AE hits of each cluster versus strain curves. But the labeling of each cluster is crucial to the failure analysis. The paper focuses on this correlating between the obtained clusters and their specific damage modes. This was carried out by waveform visualization and Fast Fourier Transform analysis. Pure resin and fiber bundles were tested to assist in the labeling of signal classes in the composites (90°, 0° and [±45°] specimens). Typical waveforms of matrix cracking, fiber-matrix debonding, fiber fracture and fiber pullout were indentified respectively. The evolution process of various damage mechanisms in the composites revealed that the correlating method was effective. An objective and repeatable analytical procedure is established for the investigation of progressive failure mechanisms in the thermoplastic composites.


Sign in / Sign up

Export Citation Format

Share Document