| Issue |
MATEC Web Conf.
Volume 275, 2019
1st International Conference on Advances in Civil Engineering and Materials (ACEM1) and 1st World Symposium on Sustainable Bio-composite Materials and Structures (SBMS1) (ACEM2018 and SBMS1)
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|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 8 | |
| Section | Bio-composite Materials and Structures | |
| DOI | https://doi.org/10.1051/matecconf/201927501012 | |
| Published online | 13 March 2019 | |
Calculation of Sound Insulation for Hybrid CLT Fabricated with Lumber and LVL and comparison with experimental data.
1 College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, P.R. China
2 College of Science, Nanjing Forestry University, Nanjing 210037, P.R. China
* Corresponding author: luxiaoning-nfu@126.com
The insulated predictions were carried out for LVL, CLT and HCLT in order to evaluate their sound properties, in which the theoretical value of sound insulation was predicted by regarding the substances in wood cell wall as equivalence to specific medium based on Biot model, and the wood anatomical characteristics, such as the length and diameter of tracheid, diameter of pit, and porosity, were taken into account for determining the equivalent density and bulk modulus of elasticity of wood cell wall. By comparing the tested and predicted values of sound insulation, the conclusion were drawn as follows: the predicted values of sound insulation were significantly correlated with the tested values for LVL, CLT and HCLT. As for Masson pine and Southern pine, the adjacent of earlywood and latewood was considered as sandwich structure for the calculation of sound insulation. Meanwhile, the bonding interface was creatively introduced to improve the accuracy of sound insulation prediction. The transfer function involved in sound insulation prediction provide an effective method to characterize the sound insulation volume of wood composite in construction and decoration areas.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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