Skip to main content
Log in

Propagation behavior of acoustic wave in wood

  • Original Paper
  • Published:
Journal of Forestry Research Aims and scope Submit manuscript

Abstract

We used acoustic tests on a quarter-sawn poplar timbers to study the effects of wood anisotropy and cavity defects on acoustic wave velocity and travel path, and we investigated acoustic wave propagation behavior in wood. The timber specimens were first tested in unmodified condition and then tested after introduction of cavity defects of varying sizes to quantify the transmitting time of acoustic waves in laboratory conditions. Two-dimensional acoustic wave contour maps on the radial section of specimens were then simulated and analyzed based on the experimental data. We tested the relationship between wood grain and acoustic wave velocity as waves passed in various directions through wood. Wood anisotropy has significant effects on both velocity and travel path of acoustic waves, and the velocity of waves passing longitudinally through timbers exceeded the radial velocity. Moreover, cavity defects altered acoustic wave time contours on radial sections of timbers. Acoustic wave transits from an excitation point to the region behind a cavity in defective wood more slowly than in intact wood.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Armstrong JP, Patterson DW, Sneckenberger JE. 1991. Comparison of three equations for predicting stress wave velocity as a function of grain angle. Wood and Fiber Science, 23(1): 32–43.

    Google Scholar 

  • Brémaud I. 2012. Acoustical properties of wood in string instruments soundboards and tuned idiophones: Biological and cultural diversity. Journal of the Acoustical Society of America, 131(1): 807–818.

    Article  PubMed  Google Scholar 

  • Brashaw BK, Wang XP, Ross RJ, Pellerin RF. 2004. Relationship between stress wave velocities of green and dry veneer. Forest Products Journal, 54(6): 85–89.

    Google Scholar 

  • Bucur V. 2005. Ultrasonic techniques for nondestructive testing of standing trees. Ultrasonics, 43(4): 237–239.

    Article  CAS  PubMed  Google Scholar 

  • Divos F, Szalai L. 2002. Tree evaluation by acoustic tomography. In: Proceedings of the 13th International Symposium on Nondestructive Testing of Wood, pp. 251–256.

    Google Scholar 

  • Halabe UB, Bidigalu GM, GangaRao HV, Ross RJ. 1997. Nondestructive Evaluation of Green Wood Using Stress Wave and Transverse Vibration Techniques. Materials Evaluation, 55(9): 1013–1018.

    Google Scholar 

  • Hernández RE, Cáceres CB. 2010. Magnetic resonance microimaging of liquid water distribution in sugar maple wood below fiber saturation point. Wood and Fiber Science, 42(3): 259–272.

    Google Scholar 

  • Kabir MF. 2001. Prediction of ultrasonic properties from grain angle. Journal of the Institute of Wood Science, 15(5): 235–246.

    Google Scholar 

  • Mattheck CG, Bethge KA. 1993. Detection of decay in trees with the Metriguard Stress Wave Timer. Journal of Abroriculture, 19(6): 374–378.

    Google Scholar 

  • Ross RJ, Ward JC, TenWolde A. 1994. Stress wave nondestructive evaluation of wetwood. Forest Products Journal, 44(7/8): 79–83.

    Google Scholar 

  • Sandoz JL. 1989. Grading of construction timber by ultrasound. Wood Science and Technology, 23: 95–108.

    Article  Google Scholar 

  • Wang LH, Xu HD, Zhou CL, Li L, Yang XC. 2007. Effect of sensor quantity on measurement accuracy of log inner defects by using stress wave. Journal of Forestry Research, 18(3): 221–225.

    Article  CAS  Google Scholar 

  • Wang XP. 1999. Stress wave-based nondestructive evaluation (NDE) methods for wood quality of standing trees. Doctoral Dissertation. Houghton: Michigan Technological University.

    Google Scholar 

  • Yang HS, Kang J, Choi MS. 2012. Acoustic effects of green roof systems on a low-profiled structure at street level. Building and Environment, 50: 44–55.

    Article  CAS  Google Scholar 

  • Yu L, Qi DW. 2008. Analysis and processing of decayed log CT image based on multifractal theory. Computers and Electronics in Agriculture, 63(2): 147–154.

    Article  Google Scholar 

  • Zhao Y, Zhao N, Fa L, Zhao MS. 2013. Seismic signal and data analysis of rock media with vertical anisotropy. Journal of Modern Physics, 4(1): 11–18.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lihai Wang.

Additional information

Project funding: This work was financially supported by “the national natural science foundation of China (31300474)”, “China Postdoctoral Science Foundation funded project (2014M551203)” and “the Fundamental Research Funds for the Central Universities of China (DL12BB18), (DL11CB02) and (2572014CB35)”.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, H., Xu, G., Wang, L. et al. Propagation behavior of acoustic wave in wood. Journal of Forestry Research 25, 671–676 (2014). https://doi.org/10.1007/s11676-014-0506-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11676-014-0506-6

Keywords

Navigation