Predicting the static modulus of elasticity in eastern cottonwood (Populus deltoides) using stress wave non-destructive testing in standing trees

Published Date
November 2016, Volume 74, Issue 6, pp 885–892

Original

First Online: 

16 April 2016

DOI: 10.1007/s00107-016-1043-0

Cite this article as: 

Madhoushi, M. & Daneshvar, S. Eur. J. Wood Prod. (2016) 74: 885. doi:10.1007/s00107-016-1043-0

Author

• Mehrab MadhoushiEmail author
• Soheyla Daneshvar

Abstract

In this paper, a correlation between the dynamic modulus of elasticity (MOEd) in healthy standing trees of eastern cottonwood and the static modulus of elasticity (MOEs) in sawn wood is proposed. Stress-wave non-destructive testing (stress-wave NDT) was performed using two transverse and two longitudinal directions in 14 trees at breast height and in logs at three heights to measure the wave speed and MOEd. Finally, MOEs was calculated by using 3-point bending tests in the sawn wood. The results showed that the MOEd of trees and logs was greater in the longitudinal than in the transverse direction. A significantly high correlation coefficient exists between MOEs and MOEd (r = 0.7)

References 

1. Auty D, Achim A (2008) The relationship between standing tree acoustic assessment and timber quality in Scots pine and the practical implications for assessing timber quality from naturally regenerated stands. Forestry 81:475–487CrossRefGoogle Scholar
2. Beall FC (2001) Wood products: nondestructive evaluation. Encyclopedia of materials: science and technology, vol 2. Elsevier, Oxford, pp 9702–9707CrossRefGoogle Scholar
3. Bodig J, Jayne BA (1993) Mechanics of wood and wood composites. Krieger Pub Co, MelabarGoogle Scholar
4. Brashaw BK, Wang X, Ross RJ, Pellerin RF (2004) Relationship between stress wave velocities of green and dry veneer. Forest Prod J 54:85–89Google Scholar
5. Brazee NJ, Marra RE, Göcke L, van Wassenaer P (2011) Non-destructive assessment of internal decay in three hardwood species of northeastern North America using sonic and electrical impedance tomography. Forestry 84:33–39CrossRefGoogle Scholar
6. Bucur V (2005) Ultrasonic techniques for nondestructive testing of standing trees. Ultrasonics 43:237–239CrossRefPubMedGoogle Scholar
7. Carter P, Briggs D, Ross RJ, Wang X (2005) Acoustic testing to enhance western forest values and meet customer wood quality needs. In: Productivity of western forests: a forest products focus, Kamiche, WA, Sept. 20–23. USDA Forest Service, PNW Research station, Western Forestry and Conservation Association and NW Forest Soils council
8. Casado M, Acuna L, Basterra L-A, Ramon-Cueto G, Vecilla D (2012) Grading of structural timber of Populus × euramericana clone I-214. Holzforschung 66:633–638CrossRefGoogle Scholar
9. Chuang ST (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, Dept of Forestry, National Taiwan University, pp 117–119 (in Chinese)
10. Cooper DT (1980) Populus deltoides Bartr ex Marsh. USDA-Forest Service, Southern Forest Experiment Station, New OrleansGoogle Scholar
11. Divos F, Tanaka T (2005) Relation between static and dynamic modulus of elasticity of wood. Acta Silv Lign Hung 1:105–110Google Scholar
12. Emms GW, Nanayakkara B, Harrington JJ (2013) Application of longitudinal-wave time-of-flight sound speed measurement to Pinus radiata seedlings. Can J For Res 43:750–756CrossRefGoogle Scholar
13. Gerhards CC (1981) Effect of cross grain on stress wave in lumber. USDA, Forest Products Laboratory, MadisonGoogle Scholar
14. Grabianowski M, Manley B, Walker JCF (2006) Acoustic measurements on standing trees, logs and green lumber. Wood Sci Technol 40:205–216CrossRefGoogle Scholar
15. Guntekin G, Emiroglu ZG, Yolmaz T (2013) Prediction of bending properties for Turkish red pine (Pinus brutia Ten.) Lumber using stress wave method. BioResources 8:231–237Google Scholar
16. Hidayati F, Ishiguri F, Iizuka K, Yokota S (2013) Variation in tree growth characteristics, stress-wave velocity, and pilodyn penetration of 24-year-old teak (Tectona grandis) trees originating in 21 seed provenances planted in Indonesia. J Wood Sci 59:512–516CrossRefGoogle Scholar
17. Ishiguri F, Diloksumpun S, Tanabe J, Iizuka K, Yokota S (2013) Stress-wave velocity of trees and dynamic Young modulus of logs of 4-year-old Eucalyptus camaldulensis trees selected for pulpwood production in Thailand. J Wood Sci 59:506–511CrossRefGoogle Scholar
18. Lawday G, Hodges PA (2000) The analytical use of stress waves for the detection of decay in standing trees. Forestry 73:447–456CrossRefGoogle Scholar
19. Macdonald E, Hubert J (2002) A review of the effects of silviculture on timber quality of Sitka spruce. Forestry 75:107–138CrossRefGoogle Scholar
20. Madhoushi M, Saraeian AR, Kord B, Khakhzad S (2007) Variation in physical and anatomical properties of Populus deltoides a case study in Iran. In: Conf. on Wood Science and Engineering in the Third Millenium, Brasov, Romania, p 4
21. Moore RJ, Lyon AJ, Searles GJ, Vihermaa LE (2009) The effects of site and stand factors on the tree and wood quality of sitka spruce growing in the United Kingdom. Silva Fenn 43:383–396CrossRefGoogle Scholar
22. Pellerin RF, Ross RJ (2002) Nondestructive evaluation of wood. Forest Products Society, MadisonGoogle Scholar
23. Raj B et al (2001) Encyclopedia of materials: science and technology. Nondestructive testing and evaluation: overview. Elsevier, Oxford, pp 6177–6184. doi:10.1016/B0-08-043152-6/01097-4Google Scholar
24. Rohner B, Bugmann H, Bigler C (2013) Towards non-destructive estimation of tree age. Forest Ecol Manag 304:286–295CrossRefGoogle Scholar
25. Ross RJ (2010) Wood handbook-Wood as an engineering material. USDA, Forest Service, Forest Products Laboratory, MadisonGoogle Scholar
26. Ross RJ, Pellerin RF (1994) Nondestructive testing for assessing structures: a review. USDA, Forest Product Laboratory, MadisonGoogle Scholar
27. Schubert S, Gsell D, Dual J, Niemz P (2009) Acoustic wood tomography on trees and the challenge of wood heterogeneity. Holzforschung 63:107–112CrossRefGoogle Scholar
28. Seidel D, Beyer F, Hertel D, Fleck S, Leuschner C (2011) 3D-laser scanning: a non-destructive method for studying above- ground biomass and growth of juvenile trees. Agr For Meteorol 151:1305–1311CrossRefGoogle Scholar
29. Su J, Zhang H, Wang X (2009) Stress wave propagation on standing trees—Part 2. Formation of 3D stress wave contour maps. In: 16th International Symposium on Nondestructive Testing and Evaluation of Wood, Beijing, China October 12–14
30. Wang X (2013) Acoustic measurements on trees and logs: a review and analysis. Wood Sci Technol 47:965–975CrossRefGoogle Scholar
31. Wang X, Ross RJ, McClellan M et al (2000) Strength and stiffness assessment of standing trees using a nondestructive stress wave technique. USDA, Forest Product Laboratory, MadisonGoogle Scholar
32. Wang X, Ross RJ, McClellan M et al (2001) Nondestructive evaluation of standing trees with stress wave method. Wood Fiber Sci 33:522–533Google Scholar
33. Wang X, Divos F, Pilon C, Brashaw BK, Ross RJ, Pellerin RF (2004a) Assessment of decay in standing timber using stress wave timing nondestructive evaluation tools: a guide for use and interpretation. In: Gen. Tech. Rep. FPL-GTR-147. US Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, p 12
34. Wang X, Ross RJ, Green DW, Brashaw B, Englund K, Wolcott M (2004b) Stress wave sorting of red maple logs for structural quality. Wood Sci Technol 37:531–537CrossRefGoogle Scholar
35. Wang X, Ross RJ, Brashaw BK et al (2004c) Diameter effect on stress wave evaluation of modulus of elasticity of logs. Wood Fiber Sci 36:368–377Google Scholar
36. Wang X, Wiedenbeck J, Ross RJ et al (2005) Nondestructive evaluation of incipient decay in hardwood logs. USDA, Forest Product Laboratory, MadisonGoogle Scholar
37. Wang X, Ross RJ, Carter P (2007) Acoustic evaluation of wood quality in standing trees. Wood Fiber Sci 39:28–38Google Scholar
38. Yamamoto K, Sulaiman O (1998) Nondestructive detection of heart rot of Acacia mangiumtrees in Malaysia. Forest Prod J 48:83–86Google Scholar
39. Zhang H, Wang X, Su J (2011) Experimental investigation of stress wave propagation in standing trees. Holzforschung 65:743–748Google Scholar
40. Zobel BJ, van Buijtenen JP (1989) Wood variation: its causes and control. Springer, Berlin, HeidelbergCrossRefGoogle Scholar

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