4.6 Article

A general model for predicting the off-axis performance of fiber reinforced composite materials

Journal

STRUCTURES
Volume 34, Issue -, Pages 2087-2097

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.istruc.2021.08.118

Keywords

Fiber reinforced composite materials; Performance prediction; Off-axis tests; Hankinson model

Funding

  1. National Natural Science Foundation of China [51208262, 51778300]
  2. Key Research and Development Project of Jiangsu Province [BE2020703]
  3. Natural Science Foundation of Jiangsu Province [BK20191390]
  4. 333 Project [BRA2016421]
  5. Six Talent Peaks Project of Jiangsu Province [JZ-017]
  6. Qinglan Project of Jiangsu Province

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A general model was developed in this study to characterize the off-axis performance of fiber reinforced composite materials, with a coefficient added to control shape and validate the model using corresponding performance data. Three optimization methods were introduced to enhance model accuracy and capture the off-axis performance characteristics of anisotropic fiber reinforced composite materials effectively.
To better characterize the off-axis performance of fiber reinforced composite materials, a general model is developed in this paper. One coefficient was added to this model to help control the shape, and it could be calculated by corresponding off-axis performance data at any angle. After demonstrating the influence of the coefficients and material anisotropic characteristics on the shape for the proposed model, the collected off-axis performance data of fiber reinforced composite materials (e.g., wood, engineered bamboo products, and fiber/epoxy composites) were used for proving the validity of the model. Furthermore, three optimization methods were presented to improve the accuracy of the model to allow for material characteristics and measurement errors. The results showed that the general model could accurately capture the off-axis performance characteristics of anisotropic fiber reinforced composite materials.

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