Development of Knot Quantification Method to Predict Bending Strength Using X-ray Scanner

  • Oh, Jung-Kwon (Department of Forest Sciences, Seoul National University) ;
  • Kim, Kwang-Mo (Department of Forest Products, Korea Forest Research Institute) ;
  • Lee, Jun-Jae (Department of Forest Sciences, Seoul National University Research Institute for Agriculture and Life Sciences)
  • Received : 2008.08.18
  • Accepted : 2008.09.09
  • Published : 2008.09.25

Abstract

This study was aimed to develop the knot quantification method to predict bending strength, using x-ray scanner. The bending strength prediction model was proposed in this paper. The model was based on Knot Depth Ratio (KDR) and closely-spaced knot was taken into account. The previous paper reported that KDR is the ratio of the knot and transit zone to the lumber thickness. Even though KDR involves transit zone, it was verified that the ratio of the moment of inertia for knot to gross cross section ($I_k/I_g$) based on KDR was a good predictor for bending strength of lumber. To take closely-spaced knot into account, a projection method was also proposed. This projection method improved the predictive accuracy significantly. It showed coefficient of determinant of 0.65 and root mean square error (RMSE) of 9.17.

Keywords

References

  1. American Society for Testing and Materials. 2005. Standard Test Methods of Static Tests of Lumber in Structural Sizes, ASTM D 198-05a
  2. Anil K. J., 2003. Fundamentals of Digital Image Processing, Prentice Hall. pp 384-389
  3. Denzler, J. K., R. Diebold, and P. Glos. 2005. Machine strength grading -commercially used grading machines - Current development, 14th international symposium on nondestructive testing of wood, pp. 11-16
  4. Institute of Isotopes of the Hungarian Academy of Sciences. 1986. Industrial Application of Radioisotopes, ELSEVIER. pp. 232-239
  5. Johansson C. J., L. Bostrom, L. Brauner, P. Hoffmeyer, C. Holmquist, and K. H. Solli. 1998. Laminations for glued laminated timber - Establishment of strength classes for visual strength grades and machine settings for glulam laminations of Nordic orgin. Swedish National Tesing and Research Institute, SP Report 1998:38
  6. Kim K. M, S. J. Lee, and J. J. Lee. 2006. Development of Portable X-ray CT System I - Evaluation of Wood Density using X-ray Radiography, Journal of the Korean Wood Science and Technology 34(1): 15-22
  7. Korean Standards Association. 1999. Visual grading for softwood structural lumber, KS F 2151
  8. Madsen B., 1992. Structural behaviour of timber, Timber Engineering LTD., pp. 307-338
  9. Oh J. K., K. M. Kim, K. B. Shim, J. H. Park, H. Yeo, and J. J. Lee. 2008. Development of knot evaluating system in structural lumber using in-line x-ray scanning, Proceedings of 10th World Conference on Timber Engineering
  10. Riberholt H. and P. H. Madsen. 1979. Strength of timber structures, measured variation of the cross sectional strength of structural lumber, Report R 114, Struct. Research Lab., Technical University of Denmark
  11. Schajer G. S. 2001. Lumber strength grading using x-ray scanning. Forest Products Journal, 51(1): pp. 43-50
  12. Schniewind A. P. and P. E. Lyon. 1971. Tensile strength redwood dimension lumber - II. Predictiong of strength value. Forest Products Journal, 21(8): pp. 18-27
  13. Thelandersson S. and H. J. Larsen. 2003. Timber Engineering, John Wiley & Sons ltd.
  14. Western Wood Products Association. 2005. Western Lumber Grading Rule, Western Wood Products Association.