4.6 Article

Axial compressive behavior of bamboo slices twining tube-confined concrete

Journal

EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS
Volume 80, Issue 1, Pages 115-129

Publisher

SPRINGER
DOI: 10.1007/s00107-021-01737-8

Keywords

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Funding

  1. National Key Research and Development Program of China [2017YFC0703500]
  2. National Natural Science Foundation of China [51608433]
  3. Key Lab of Plateau Building and Eco-community in Qinghai [KLKF-2020-001]
  4. Natural Science Foundation of Shaanxi Province of China [2021JM-352]

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BSTs exhibit mechanical properties similar to engineered bamboo under tension and compression, effectively confining concrete and improving the compressive strength and ultimate strains of plain concrete columns when the BST wall thickness is between 5-12 mm. The proposed stress-strain model for BST-confined concrete can accurately predict experimental results.
Bamboo continues to be of interest in buildings and structures owing to its good mechanical properties and sustainability. In this study, a new method of bamboo use is proposed, which is to twine laminated bamboo lumber (LBL) slices to form a bamboo-fiber-reinforced composite tube (bamboo slices twining tube, BST). Considering the high tensile strength of bamboo fiber, BST is proposed to replace steel and FRP as the confining jacket acting on concrete. A total of 10 BST and BST-confined concrete (BCC) short columns were subjected to axial compressive tests using the BST wall thickness as a variable. The test results show that the mechanical properties of BSTs are close to those of engineered bamboo under tension and compression. The failure mode of the BCC specimens is the rupture of the BST wall in the middle of the columns. BSTs can effectively confine the concrete.The BST with a wall-thickness of 5 - 12 mm can enhance the compressive strength and the ultimate strains of the plain concrete (PC) column by more than 1/4 and 3 times, respectively. Finally, an analysis-oriented stress-strain model for the BCCs is proposed, and the predictions of the proposed model can reproduce the experimental curves well.

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