Evaluation of Modulus of Elasticity in Standing Trees and Sawn Wood in Populous deltoids using Nondestructive Stress Wave Testing

Document Type : Research Paper

Authors

Abstract

The aim of this paper was to evaluate relationship between dynamic modulus of elasticity (MOEd) in healthy standing trees of Populus deltoides and static modulus of elasticity (MOEs) of sawn lumber from the same standing trees, using nondestructive stress wave testing (NDT). For this purpose, NDT stress wave technique was used. The study was performed on 10 healthy standing trees of Populus deltoides. The diameter of trees at the breast height was selected at two categories, namely 25-30 cm and 30-35 cm. Measurement of wave velocity in standing trees were done transversely in radial direction at two geographical directions as North-South and East-West at the breast height, namely 130 cm and longitudinal measurements were done on the height between 80 and 180 cm. Then, standing trees were cut following by measurements of wave velocity in their logs. Logs were kept for two months after cutting in order to reduce moisture content. Then, they were cut into the clear specimens for statistical bending test and their MOE were evaluated according to ASTM standard. The results showed that the stress wave velocity and dynamic modulus of elasticity in longitudinal direction of standing trees and logs were more than those in transverse directions. Also, stress wave velocity and dynamic modulus of elasticity of the logs were higher than those in their standing trees at both directions. Finally, regression analysis indicated that the correlation coefficient between MOEd in standing trees and logs at diameter 30-35 cm is (r= 0.94), which is statistically significant.

Keywords


[1]     Wang, X., 2013. Acoustic measurements on trees and logs: a review and analysis. Wood Science and Technology 47(5): 965-975.
[2]     Wang, X., Wiedenbeck, J., Ross, R.J., Forsman, J.W., Erickson, J.R. Pilon, C. and Brashaw, B.K., 2005. Nondestructive evaluation of incipient decay in hardwood logs. Gen. Tech. Rep. FPL-GTR-162. Madison, WI: USDA. Forest Service, FPL.11p.
[3]     Ross, R.J. and Pellerin, R.F., 1994. Nondestructive testing for assessing structures: A review. Gen. Tech. R ep. FPL-GTR-70 (Rew). Madison, WI, USDA, Forest product Laboratory40p.
[4]     Wang, X., Ross, R.J., McClellan, M., Erickson, J.R., Forsman, J.W. and McGinnis, G.D., 2000. Strength and stiffness assessment of standing trees using a nondestructive stress wave technique. Res. Pap. FPL-RP-585. Madison, WI: U.S. Department of Agriculture, Forest Product Laboratory9p.
[5]     Chung, S.T., 1999. Study on the quality evaluation of lumber and standing trees under different silvicultural treatments by using stress wave and ultrasonic wave methods. Doctor’s thesis, Department of Forestry, National Taiwan University117p.
[6]     Gerhards, C.C., 1981. Effect of cross grain on stress wave in lumber. Res. Pap. FPL-RP-368. Madison, WI: U.S.Department of Agriculture, Forest Service, Forest Products Laboratory.
[7]     Brashaw, B.K., Wang, X., Ross, R.J. and Pellerin, R.F., 2004. Relationship between stress wave velocities of green and dry veneer. Forest Product Journal 54(6):85-89.
[8]     Carter, P., Briggs, D., Ross, R.J. and Wang, X., 2005. Acoustic testing to enhance western forest values and meet customer wood quality needs. In: Proc. Productivity of western forests: A forest products focus. USDA Forest Service, Sept. 20-23, Kamiche, WA.
[9]     Grabianowski, M., Manley, B. and Walker, J.C.F., 2006. Acoustic measurements on standing trees, logs and green lumber. Wood Science and Technology 40: 205-216.
[10]  Hasegawa, M., Takata, M., Matsumura, J., and Oda, K., 2011. Effect of wood properties on within-tree variation in ultrasonic wave velocity in softwood. Ultrasonics 51(3): 296-302.
[11]  Ishiguri, F., Diloksumpun, S., Tanabe, J., Iizuka, K., and Yokota, S., 2013. Stress-wave velocity of trees and dynamic Young’s modulus of logs of 4-year-old Eucalyptus camaldulensis trees selected for pulpwood production in Thailand. Journal of Wood Science 59(6): 506-511.
[12]  Wang, X., Ross, R.J., Brashaw, B.K., Punches, J., Erickson, R.J., Forsman, J.W. and Pellerin, R.F., 2003. Diameter effect on stress wave evaluation of modulus of elasticity of logs. Wood and Fiber Science 36(3): 368-377.
[13]  Wang, X., Ross, R.J. and Carter, P., 2007. Acoustic evaluation of wood quality in standing trees. Wood and Fiber Science 39(1): 28-38.
[14]  Moore, R.J., Lyon, A.J., Searles, G.J. and Vihermaa, L.E., 2009. The effects of site and stand factors on the tree and wood quality of sitka spruce growing in the united kingdom. Silva Fennica 43(3): 383-396.
[15]  Yamamoto, K. and Sulaiman. O., 1998. Nondestructive detection of heart rot of Acacia mangium trees in Malaysia. Forest Product Journal 48(3): 83-86.
[16] Madhoushi, M. and Hashemi, M., and Behzad, M. 2008. Evaluation the effects of decay on dynamic modulus of elasticity and static modulus of elasticity of wood in beech using stress wave NDT. Journal of Agricultural Sciences and Natural Resources 15(3): 176-183. (In Persian).
Wang, X., Ross, R.J., Green, D.W., Brashaw, B, Englund, K. and Wolcott, M., 2004. Stress wave sorting of red maple logs for structural quality. Wood Science and Technology 37: 531-537