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https://doi.org/10.15255/KUI.2015.006

Domain Superposition Technique for Free Vibration Analysis of Textile Composite Structures

W. G. Jiang ; School of Mechanical Engineering, Yanshan University, Qinghuangdao, Kina
C. L. Yu ; School of Mechanical Engineering, Yanshan University, Qinghuangdao, Kina
Y. X. Zhang ; School of Mechanical Engineering, Yanshan University, Qinghuangdao, Kina
X. C. Huo ; School of Mechanical Engineering, Yanshan University, Qinghuangdao, Kina
L. J. Yan ; Science, Technology and Quality Department, Xugong Group Construction Machinery Inc., Xuzhou, Kina


Puni tekst: engleski pdf 2.674 Kb

str. 117-124

preuzimanja: 522

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Sažetak

Textile composites consist of interlaced tows, which are impregnated with a matrix material and then cured. The interlacing of the tows offers the potential for increased through-thickness strength compared to conventional laminated composites. However, one disadvantage of textile composites is the difficulty in predicting their performance due to the complex geometry of their internal architectures. Finite element analysis (FEA) has become an effective means to predict the response of complex textile composite structures. When an attempt is made to perform a conventional FEA, one of the tough issues faced is how to deal with the topologically complex internal geometries. To overcome this difficult issue, a domain superposition technique (DST) has been proposed to implement free vibration analysis of woven composite structures. The significant advantage of the DST over traditional FEA is that it does not need to directly deal with the likely degenerated resin-rich region, thus the DST model is much easier to establish. Numerical results show that DST predictions correlate excellently with traditional FEAs.

Ključne riječi

Woven composites; domain superposition technique; finite element analysis; dynamic analysis; natural frequency

Hrčak ID:

136273

URI

https://hrcak.srce.hr/136273

Datum izdavanja:

13.3.2015.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.324 *