Study on the Design and Size Effect of Scaled Model for Inflated Fabric Membrane

DOI

10.2991/msmee-17.2017.126How to use a DOI?

Keywords

Inflated fabric membrane, constitutive properties, similitude theory, size effect, scaled-model error.

Abstract

Inflatable fabric membrane has been typically used in aeronautics and astronautics, large-scale construction and other fields because of its advantages: light weight, low transportation costs, and ease of deployment and storage. However, a natural challenge is the accurate characterization of the mechanical properties of the materials such as the airbag, subjected to the anisotropy of the membrane, the interaction between the fabric and the inflation pressure. In this paper, to estimate the effective elastic constant, the biaxial tensile tests of fabric film were performed by considering the effect of inflation pressure, this and specimen size on the elastic constants was obtained. Based on the similitude theory, the reduction ratio of inflatable fabric is deduced, and the irreducible factor is analysed. The validity of theoretical derivation is verified by numerical simulation and experiment of woven airbeams loaded in four-point bending. The error of scaled model is evaluated, which provides an effective technique for large-scale inflatable structure test. Abundant research results have been achieved in the test method of fabric membrane.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fen Zhang
AU  - Shiming Zhou
AU  - Jiehong Yuan
PY  - 2017/05
DA  - 2017/05
TI  - Study on the Design and Size Effect of Scaled Model for Inflated Fabric Membrane
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 649
EP  - 655
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.126
DO  - 10.2991/msmee-17.2017.126
ID  - Zhang2017/05
ER  -