Journal of the Korean Wood Science and Technology

The Korean Society of Wood Science & Technology (한국목재공학회)
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Indirect Detection of Internal Defects in Wooden Rafter with Ultrasound

  • Lee, Sang-Joon (Division of Wood Engineering, Department of Forest Resources Utilization, Korea Forest Research Institute) ;
  • Lee, Sangdae (Department of Agricultural Engineering, National Academy of Agricultural Science) ;
  • Pang, Sung-Jun (Department of Forest Sciences, Seoul National University) ;
  • Kim, Chul-Ki (Department of Forest Sciences, Seoul National University) ;
  • Kim, Kwang-Mo (Division of Wood Engineering, Department of Forest Resources Utilization, Korea Forest Research Institute) ;
  • Kim, Ki-Bok (Center for Safety Measurement, Korea Research Institute of Standards and Science) ;
  • Lee, Jun-Jae (Department of Forest Sciences, Seoul National University)
  • Received : 2013.02.24
  • Accepted : 2013.03.13
  • Published : 2013.03.25
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Abstract

The purpose of this research was development of quantitative ultrasonic test methodology for detecting internal defects in members of ancient wooden building. Connection part between wooden members and/or contacted or hidden part by wall of ceiling or other construction materials make it hard to apply direct way of ultrasonic test. So indirect way of ultrasonic test needed to be applied. Test methodology with newly developed prototype of ultrasonic system was proposed. Homogeneous material with polypropylene was also tested for establishing the criterion. Results showed that TOF(time of flight)-energy and pulse length were found out to be proper ultrasonic parameters for predicting depth of defect in wood different from polypropylene. It was not possible to directly apply prediction equation derived from polypropylene. Newly established prediction equation shows coefficient of determination of 0.73 for wood. Finally, defect of replaced rafter members was predicted with the coefficient of determination of 0.32. Various aspects of ultrasound propagation in wood including anisotropy need to be carefully considered to raise up the prediction accuracy.

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References

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