Rapid fatigue life prediction of CFRP laminates by combining the data of self-heating with stiffness degradation - INSA Toulouse - Institut National des Sciences Appliquées de Toulouse Access content directly
Conference Papers Year : 2022

Rapid fatigue life prediction of CFRP laminates by combining the data of self-heating with stiffness degradation

Xiaojing Gong

Abstract

The thermographic approach is used to rapidly determine the fatigue properties of composite materials. A modified fatigue life prediction model based on self-heating data and stiffness degradation applied to unidirectional and ±45° CFRP (Carbon Fiber Reinforced Polymer) composite under traction loading (R=0.1) been developed in order to avoid the conservativeness on the fatigue life of a quasi-isotropic CFRP laminate. In this work, the original model is modified by introducing a new parameter r to take more complex damage mechanisms in MultiDirectional (MD) laminates into account. It is demonstrated that predicted S-N curves using modified model has a better agreement with the experimental results.
No file

Dates and versions

hal-04075801 , version 1 (20-04-2023)

Identifiers

  • HAL Id : hal-04075801 , version 1

Cite

Zijiao Jia, Marie-Laetitia Pastor, Christian Garnier, Xiaojing Gong. Rapid fatigue life prediction of CFRP laminates by combining the data of self-heating with stiffness degradation. 20th European Conference on Composite Materials, ECCM20, Jun 2022, Lausanne, Switzerland. ⟨hal-04075801⟩
32 View
0 Download

Share

Gmail Mastodon Facebook X LinkedIn More