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author:

Lin, Xueqi (Lin, Xueqi.) [1] | Wang, Bing (Wang, Bing.) [2] (Scholars:王冰) | Zhong, Shuncong (Zhong, Shuncong.) [3] (Scholars:钟舜聪) | Chen, Hui (Chen, Hui.) [4] (Scholars:陈晖) | Liu, Dianzi (Liu, Dianzi.) [5]

Indexed by:

EI

Abstract:

Composite tape-springs (CTS) structure has been applied to spatial developable structures due to its bistability. There is growing interest in smart driving of the CTS-based structures because of the limitations on the working environment. Here, we propose a detailed analysis of the smart driving of the CTS structure. This is achieved by using smart materials to develop a bilayered CTS intelligent structure: the smart material forms the active layer to generate stress/strain to drive the structure; the CTS layer acts as a passive layer where its intrinsic bistability, designability further enriches the diversity of intelligent morphing structures. A theoretical analytical model is developed to anticipate the bistability; the stability criteria are then determined to guide the intelligent morphing design. These will facilitate the future smart driving design of aerospace deployable structures. © Published under licence by IOP Publishing Ltd.

Keyword:

Intelligent materials Springs (components) Stability criteria Structural design

Community:

  • [ 1 ] [Lin, Xueqi]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 2 ] [Wang, Bing]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 3 ] [Zhong, Shuncong]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 4 ] [Chen, Hui]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 5 ] [Liu, Dianzi]Engineering Division, Faculty of Science, University of East Anglia, Norwich, United Kingdom

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ISSN: 1742-6588

Year: 2022

Issue: 1

Volume: 2403

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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