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Experimental and modelling research on fatigue life of GFRP composite materials
| Content Provider | Scilit |
|---|---|
| Author | Liu, J. W. Sun, Q. Wang, X. Peng, Y. L. Wang, J. T. |
| Copyright Year | 2019 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering To evaluate the fatigue behaviour of glass-fiber-reinforced polymers (GFRP), an experimental study was firstly carried out based on the up-downmethod. Then, the different predictionmodels, including linear model, nonlinear model and accumulated model, were utilized to modelling the fatigue life of GFRP composite materials, where the genetic algorithm (GA) was combined in the modelling procedure. The result reveals that the bond connecting the specimen with the clamp is the weakness under fatigue loading, thus the bond connecting the constructionmember in lattice tower with the fitting part in nodal points is the essential part that must be paid close attention to; the simulation results show that these three models whose parameters are assigned by using GA are satisfied well with the experimental data. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/504/1/012026/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/504/1/012026 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 504 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-04-26 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Mechanical Engineering Accumulated Model Composite Materials |
| Content Type | Text |
| Resource Type | Article |
