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Structural Engineering and Mechanics Volume 90, Number 6, June25 2024 , pages 543-549 DOI: https://doi.org/10.12989/sem.2024.90.6.543 |
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Poisson's ratios of fabric materials in use for large-span membrane structures |
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Jianhui Hu, Wujun Chen, Chengjun Gao, Yibei Zhang, Yonglin Chen and Pujin Wang
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| Abstract | ||
| The utilization of the fabric materials for lightweight building structures has attracted considerable attention due to the multiple functions and high strength-to-weight ratio. The mechanical properties of the fabric materials evolve with the loading cycle, especially for the Poisson's ratio that requires the full cyclic strain to determine the accurate values. The digital image correlation method has been justified but needs to meet the flexibility and complexity requirements of the fabric materials. This paper thus proposes a modified digital image correlation method to quantify the Poisson's ratio of fabric materials. To obtain the accurate Poisson's ratio of fabric materials in the cyclic experiments using non-contact measuring method, a speckle generation of the digital image correlation method is implemented to obtain the strain distribution and strain characteristics. The uniaxial cyclic experiments for the fabric materials are carried out in the warp, weft and 45o directions. The digital image correlation photos are taken when the material properties become stable in the cyclic loading. The results show that the strain distributions are non-uniform and dependent on the specimen directions. The reliable Poisson's ratios of the fabric materials in the warp, weft and 45o directions are 0.016, 1.2 and 2.6. The strain asymmetry at the maximum strain position is related with the weaving architecture. These observations and results are indispensable to understand the Poisson's ratios of fabric materials and to guide the proper analysis of the large-span membrane structures. | ||
| Key Words | ||
| large-span structures; mechanical properties; membrane structures; Poisson | ||
| Address | ||
| Jianhui Hu, Wujun Chen, Chengjun Gao: Space Structures Research Center, Sichuan Research Institute, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China Yibei Zhang: China Academy of Aerospace Science and Innovation, Beijing 100176, China Yonglin Chen, Pujin Wang: School of Civil Engineering, School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China | ||