CLC number: O39; O368; S7
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 4
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Xiao-yi HU, Wei-ming TAO, Yi-mu GUO. Using FEM to predict tree motion in a wind field[J]. Journal of Zhejiang University Science A, 2008, 9(7): 907-915.
@article{title="Using FEM to predict tree motion in a wind field",
author="Xiao-yi HU, Wei-ming TAO, Yi-mu GUO",
journal="Journal of Zhejiang University Science A",
volume="9",
number="7",
pages="907-915",
year="2008",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0720035"
}
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%A Yi-mu GUO
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0720035
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T1 - Using FEM to predict tree motion in a wind field
A1 - Xiao-yi HU
A1 - Wei-ming TAO
A1 - Yi-mu GUO
J0 - Journal of Zhejiang University Science A
VL - 9
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SP - 907
EP - 915
%@ 1673-565X
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0720035
Abstract: In this paper we propose a finite element (FE) simulation method to predict tree motion in a wind field. Two FE tree models were investigated: One model was generated based on a realistic nature-looking geometric tree model, and the other was a symmetric model to investigate the influence of asymmetric material properties on tree motion. The vortex-induced vibration (VIV) theory is introduced to estimate the fluctuating wind force being exerted on tree stems and the fluid-structure interaction (FSI) analysis is also included in the simulation. The results indicate that asymmetric material properties result in the crosswind displacement of the investigated node and the main swaying direction deviation. The simulation reveals that under wind loading, a tree with leaves has much larger swaying amplitude along the wind direction and longer swaying period than a tree without leaves. However, the crosswind swaying amplitude is mainly due to branch interaction. The numerical simulation proved that the interaction of tree branches can prevent dangerous swaying motion developing.
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