@inproceedings{0b6797843c704672b40fd319c2a686a8,
title = "Effect of Wall Thickness and Node Diaphragms on the Buckling Behavior of Bamboo Culm",
abstract = "The buckling behavior of bamboo culm is highly affected by internodal properties, i.e. material properties and geometric parameters of the trunk. In this study, the effects of Phyllostachys Edulis bamboo culms have on buckling phenomena under bending and compressive loads are investigated. Internodal walls are assumed to be composed of orthotropic functionally graded-type materials which are controlled by the volume fraction of the vascular fiber bundle. It is found that, with a constant internodal length the buckling behavior transitions from global to local as the tube radius increases. The global buckling load increases with approximately a fourth order polynomial in relation with the radius while the local buckling load linearly increases with the tube radius. Nodal wall thickening enhances the buckling load in both the global and local domains. There is an interactive contribution of nodal wall and diaphragm thicknesses on the buckling behavior up to a certain point where the local buckling load is independently determined by each internodal structure. The buckle can occur within thin diaphragms, which results in much lower buckling load compared with the tube without/removed the diaphragms.",
keywords = "Bamboo diaphragm, Bamboo tube, Buckling analysis, Gradient orthotropic material, Phyllostachys Edulis bamboo, Thickening nodal wall",
author = "Trinh, {Luan C.} and Ansari, {Quaiyum M.} and Nguyen, {Phong T.T.} and Nguyen, {Trung Kien} and Weaver, {Paul M.}",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International Conference on Green Technology and Sustainable Development, GTSD 2020 ; Conference date: 27-11-2020 Through 28-11-2020",
year = "2021",
doi = "10.1007/978-3-030-62324-1_54",
language = "English",
isbn = "9783030623234",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "637--647",
editor = "Yo-Ping Huang and Wen-June Wang and Quoc, {Hoang An} and Giang, {Le Hieu} and Nguyen-Le Hung",
booktitle = "Computational Intelligence Methods for Green Technology and Sustainable Development - Proceedings of the International Conference GTSD2020",
}