COMPOSITES SCIENCE AND ENGINEERING ›› 2022, Vol. 0 ›› Issue (7): 81-92.DOI: 10.19936/j.cnki.2096-8000.20220728.013

• APPLICATION RESEARCH • Previous Articles     Next Articles

Comparative analysis of data reduction method of ENF test of mode Ⅱ delamination

WANG Ya-na1,2,3, ZHAO Wei 4   

  1. 1. Aeronautical Material Testing Research Center, AECC Beijing Institute of Aeronautical Materials, Beijing 100095, China;
    2. Beijing Key Laboratory of Aeronautical Material Testing and Evaluation, Beijing 100095, China;
    3. Key Laboratory of Aeronautical Material Testing and Evaluation, Aero Engine Corporation of China, Beijing 100095, China;
    4. School of Astronautics, Beihang University, Beijing 100091, China
  • Received:2021-08-30 Online:2022-07-28 Published:2022-08-23

Abstract: Mode Ⅱ delamination is a common failure mode in composite laminate structures, so the mode Ⅱ interlaminar fracture toughness is the important mechanical property parameter needed for characterizing the interlaminar properties of composites, and required by composite structure design. There are several test methods for mode Ⅱ interlaminar fracture toughness, among which the end notched flexure (ENF) test is widely adopted in engineer practice. As for the complex driving mechanism and lots of influence factors of mode Ⅱ delamination in ENF test, researchers have proposed many data reduction methods for mode Ⅱ fracture toughness, and the obtained data would be diverse when different data reduction methods were adopted. In order to help engineers to learn deeply the differences of various data reduction methods for mode Ⅱ fracture toughness, this paper firstly systematically reviewed the mechanics, simplification conditions, derivation process and precision of different data reduction methods of mode Ⅱ interlaminar fracture toughness in ENF test, for the purpose of offering useful guidance for engineers in the field of composite materials development, testing and design.

Key words: composite, laminate, delamination, fracture toughness, data reduction

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