Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method

Bamboo has natural damping properties, but, due to the obvious gradient differences in bamboo walls, the damping properties of different layers may vary. Using bamboo slivers as the research object, this study investigated the underlying mechanism of the effect of microstructural and chemical compon...

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Main Authors: Xiaoyi Chen, Liping Deng, Xin Wei, Mingpeng Li, Ge Wang, Fuming Chen
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/12/12/1654
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author Xiaoyi Chen
Liping Deng
Xin Wei
Mingpeng Li
Ge Wang
Fuming Chen
author_facet Xiaoyi Chen
Liping Deng
Xin Wei
Mingpeng Li
Ge Wang
Fuming Chen
author_sort Xiaoyi Chen
collection DOAJ
description Bamboo has natural damping properties, but, due to the obvious gradient differences in bamboo walls, the damping properties of different layers may vary. Using bamboo slivers as the research object, this study investigated the underlying mechanism of the effect of microstructural and chemical components on the damping properties (η, damping ratio) of bamboo using the resonance and nonresonance methods. The damping ratio decreased on <i>L</i><sub>3</sub> (inner layer), <i>L</i><sub>2</sub> (middle layer), and <i>L</i><sub>1</sub> (outer layer) due to lower microfibril angles, increased crystallinity of cellulose, and decreased hemicellulose content. All of these limited the motion of the bamboo’s molecular chains. The damping ratio successively increased in the oven-dried, air-dried, and water saturated states because water acted as a plasticizer. The damping ratio of <i>L</i><sub>1</sub>, in the oven-dried state, was slightly higher than that of the air-dried state because <i>L</i><sub>1</sub> had the lowest water content. This allowed less water to escape during drying, which intensified the molecular distortion. The initial tan δ (tangent of the loss angle) decreased successively on the <i>L</i><sub>3</sub>, <i>L</i><sub>2</sub>, and <i>L</i><sub>1</sub> layers of the bamboo, and the tan δ of <i>L</i><sub>3</sub> was lower than that of <i>L</i><sub>2</sub> due to changes in the temperature sensitivity of hemicellulose.
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spelling doaj.art-d86e1ae2ea634c5e93e74ad23b462f102023-11-23T08:20:31ZengMDPI AGForests1999-49072021-11-011212165410.3390/f12121654Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance MethodXiaoyi Chen0Liping Deng1Xin Wei2Mingpeng Li3Ge Wang4Fuming Chen5International Centre for Bamboo and Rattan, Beijing 100102, ChinaInternational Centre for Bamboo and Rattan, Beijing 100102, ChinaInternational Centre for Bamboo and Rattan, Beijing 100102, ChinaInternational Centre for Bamboo and Rattan, Beijing 100102, ChinaInternational Centre for Bamboo and Rattan, Beijing 100102, ChinaNational Forestry and Grassland Administration/Beijing Co-Build Key Laboratory of Bamboo and Rattan Science Technology, Beijing 100102, ChinaBamboo has natural damping properties, but, due to the obvious gradient differences in bamboo walls, the damping properties of different layers may vary. Using bamboo slivers as the research object, this study investigated the underlying mechanism of the effect of microstructural and chemical components on the damping properties (η, damping ratio) of bamboo using the resonance and nonresonance methods. The damping ratio decreased on <i>L</i><sub>3</sub> (inner layer), <i>L</i><sub>2</sub> (middle layer), and <i>L</i><sub>1</sub> (outer layer) due to lower microfibril angles, increased crystallinity of cellulose, and decreased hemicellulose content. All of these limited the motion of the bamboo’s molecular chains. The damping ratio successively increased in the oven-dried, air-dried, and water saturated states because water acted as a plasticizer. The damping ratio of <i>L</i><sub>1</sub>, in the oven-dried state, was slightly higher than that of the air-dried state because <i>L</i><sub>1</sub> had the lowest water content. This allowed less water to escape during drying, which intensified the molecular distortion. The initial tan δ (tangent of the loss angle) decreased successively on the <i>L</i><sub>3</sub>, <i>L</i><sub>2</sub>, and <i>L</i><sub>1</sub> layers of the bamboo, and the tan δ of <i>L</i><sub>3</sub> was lower than that of <i>L</i><sub>2</sub> due to changes in the temperature sensitivity of hemicellulose.https://www.mdpi.com/1999-4907/12/12/1654damping ratioresonance methodnonresonance methodtan δspecific surface area adsorption
spellingShingle Xiaoyi Chen
Liping Deng
Xin Wei
Mingpeng Li
Ge Wang
Fuming Chen
Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method
Forests
damping ratio
resonance method
nonresonance method
tan δ
specific surface area adsorption
title Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method
title_full Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method
title_fullStr Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method
title_full_unstemmed Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method
title_short Measuring the Damping Performance of Gradient-Structured Bamboo Using the Resonance Method
title_sort measuring the damping performance of gradient structured bamboo using the resonance method
topic damping ratio
resonance method
nonresonance method
tan δ
specific surface area adsorption
url https://www.mdpi.com/1999-4907/12/12/1654
work_keys_str_mv AT xiaoyichen measuringthedampingperformanceofgradientstructuredbamboousingtheresonancemethod
AT lipingdeng measuringthedampingperformanceofgradientstructuredbamboousingtheresonancemethod
AT xinwei measuringthedampingperformanceofgradientstructuredbamboousingtheresonancemethod
AT mingpengli measuringthedampingperformanceofgradientstructuredbamboousingtheresonancemethod
AT gewang measuringthedampingperformanceofgradientstructuredbamboousingtheresonancemethod
AT fumingchen measuringthedampingperformanceofgradientstructuredbamboousingtheresonancemethod