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Development of a vibroacoustic stochastic finite element prediction tool for a CLT floor

Qian, Cheng ; Ménard, Sylvain ; Bard, Delphine LU and Negreira, Juan LU (2019) In Applied Sciences (Switzerland) 9(6).
Abstract

Low frequency impact sound insulation is a challenging task in wooden buildings. Low frequency prediction tools are needed to access the dynamic behavior of a wooden floor in an early design phase to ultimately reduce the low frequency impact noise. However, due to the complexity of wood and different structural details, accurate vibration predictions of wood structures are difficult to attain. Meanwhile, a deterministic model cannot properly represent the real case due to the uncertainties coming from the material properties and geometrical changes. The stochastic approach introduced in this paper aims at quantifying the uncertainties induced by material properties and proposing an alternative calibration method to obtain a relative... (More)

Low frequency impact sound insulation is a challenging task in wooden buildings. Low frequency prediction tools are needed to access the dynamic behavior of a wooden floor in an early design phase to ultimately reduce the low frequency impact noise. However, due to the complexity of wood and different structural details, accurate vibration predictions of wood structures are difficult to attain. Meanwhile, a deterministic model cannot properly represent the real case due to the uncertainties coming from the material properties and geometrical changes. The stochastic approach introduced in this paper aims at quantifying the uncertainties induced by material properties and proposing an alternative calibration method to obtain a relative accurate result instead of the conventional manual calibration. In addition, 100 simulations were calculated in different excitation positions to assess the uncertainties induced by material properties of cross-laminated-timber A comparison between the simulated and measured results was made in order to extract the best combination of Young's moduli and shear moduli in different directions of the CLT panel.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Acoustics, Low frequency noise, Modelling, Wooden constructions
in
Applied Sciences (Switzerland)
volume
9
issue
6
article number
1106
publisher
Multidisciplinary Digital Publishing Institute (MDPI)
external identifiers
  • scopus:85063724424
DOI
10.3390/app9061106
language
English
LU publication?
yes
id
ff958de5-d63c-4279-9f50-370358d5cd5b
date added to LUP
2019-04-23 13:05:46
date last changed
2019-12-03 02:06:27
@article{ff958de5-d63c-4279-9f50-370358d5cd5b,
  abstract     = {<p>Low frequency impact sound insulation is a challenging task in wooden buildings. Low frequency prediction tools are needed to access the dynamic behavior of a wooden floor in an early design phase to ultimately reduce the low frequency impact noise. However, due to the complexity of wood and different structural details, accurate vibration predictions of wood structures are difficult to attain. Meanwhile, a deterministic model cannot properly represent the real case due to the uncertainties coming from the material properties and geometrical changes. The stochastic approach introduced in this paper aims at quantifying the uncertainties induced by material properties and proposing an alternative calibration method to obtain a relative accurate result instead of the conventional manual calibration. In addition, 100 simulations were calculated in different excitation positions to assess the uncertainties induced by material properties of cross-laminated-timber A comparison between the simulated and measured results was made in order to extract the best combination of Young's moduli and shear moduli in different directions of the CLT panel.</p>},
  author       = {Qian, Cheng and Ménard, Sylvain and Bard, Delphine and Negreira, Juan},
  language     = {eng},
  number       = {6},
  publisher    = {Multidisciplinary Digital Publishing Institute (MDPI)},
  series       = {Applied Sciences (Switzerland)},
  title        = {Development of a vibroacoustic stochastic finite element prediction tool for a CLT floor},
  url          = {http://dx.doi.org/10.3390/app9061106},
  doi          = {10.3390/app9061106},
  volume       = {9},
  year         = {2019},
}