Comparison of Nondestructive Testing Methods for Evaluating No. 2 Southern Pine Lumber: Part B, Modulus of Rupture
Keywords:Nondestructive evaluation, transverse vibration evaluation, longitudinal stress wave evaluation, high capacity lumber tester, modulus of rupture, lumber grades
The identification of strength-reducing characteristics that impact modulus of rupture (MOR) is a key differentiation between lumber grades. Because global design values for MOR are at the fifth percentile level and in-grade lumber can be highly variable, it is important that nondestructive evaluation technology be used to better discern the potential wood strength. In that manner, higher-performance pieces could potentially be identified and their value captured accordingly. In this study, laboratory tests of three nondestructive testing (NDT) technologies and destructive four-point static bending were applied to 343 pieces of visually graded No. 2 southern pine lumber in the 38140 mm2 (n . 86), 38186 mm2 (n . 112), 38236 mm2 (n . 91), and 38 287 mm2 (n . 54) sizes collected across the southeast region of the United States. The NDT tests included continuous lumber test in continuous proof bending (MetriguardModel 7200 High Capacity Lumber Tester), transverse vibration (Metriguard E-Computer), and two longitudinal stress wave tools (Falcon A-Grader and Fiber-gen Director HM200). Following nondestructive tests, the specimens were destructively tested in four-point static bending. Single-predictor linear correlations were observed between static bending MOE and MOR value; and NDT outputs and bending MOR value. The regression results showed that the average NDT outputs (r2 . 0.23-0.28) had lower performance than static bending MOE (r2 . 0.39), for predicting the bending MOR of sawn lumber.
Achim A, Paradis N, Carter P, Hernandez RE (2011) Using acoustic sensors to improve the efficiency of the forest value chain in Canada: a case study with laminated veneer lumber. Sensors 11:5716-5728.
American Lumber Standards Committee (ALSC) 2013
American Lumber Standard Committee Board of
Review: Board of Review Minutes (1 February 2013).
American Lumber Standards Committee, Germantown,MD.
ASTM (2014) D198-14. Standard test methods of static tests of lumber in structural sizes, American Society for Testing and Materials, West Conshohocken, PA.
ASTM (2014) D1990-14. Standard test methods of static tests of lumber in structural sizes, American Society for Testing and Materials, West Conshohocken, PA.
Baillères H, Hopewell G, Boughton G, Brancheriau L (2012)
Strength and stiffness assessment technologies for
improving grading effectiveness of radiata pine wood.
Byeon H, Park H, Kim C and Lam F (2005) Nondestructive evaluation of strength performance for finger-jointed wood using flexural vibration techniques. Forest Prod J. 55(10): 37-42.
Galligan WL, Gerhards CC, Ethington RL (1979) Evolution of tensile design stresses for lumber, Gen. Tech. Rep. FPL 28. USDA For Serv Forest Lab, Madison, WI.
Galligan WL, Kerns J, Brashaw BK (2015) Machine grading
of lumber. Pages 169 in Ross RJ, ed. Nondestructive
evaluation of wood, 2nd ed. General Technical Report
FPL-GTR-238, USDA, Forest Service, Forest Products
Laboratory, Madison, WI.
Galligan WL, McDonald KA (2000) Machine Grading of Lumber - Practical Concerns for Lumber Producers, Forest Products Laboratory Gen Tech Rep FPL-GTR-7 USDA For Serv Forest Prod Lab, Madison, WI. 39 pp.
Green DW, Kretschmann DE (1991) Lumber property relationships for engineering design standards. Wood and Fiber Science, 23(3): 436-456
Halabe UB, Bidigalu GM, GangaRao HVS, Ross RJ (1997) Nondestructive Evaluation of Green Wood Using Stress Wave and Transverse Vibration Techniques. Materials Evaluation. Vol. 55, No. 9, pp. 1013-1018.
Howard JL (2007) U.S. timber production, trade, consumption,
and price statistics 1965 to 2005. FPL-RP-637, USDA,
Forest Products Laboratory, Madison, WI. 91 pp.
Hoyle RJ (1961) A nondestructive test for stiffness of structural lumber. Forest Prod J. (June) 251-254.
Kramer PR (1964) Correlation of bending strength and stiffness of Southern pine. Forest Product J. (October 495-496)
Kretschmann DE (2010) Stress grades and design properties
for lumber, round timber, and ties. Wood Handbook.
General Technical Report FPL-GTR-190, USDA, Forest
Service, Forest Products Laboratory,Madison,WI. 17 pp.
Liliefna, LD (2009) Structural Property Relationships for Canadian Dimension Lumber. The University of British Columbia. Retrospective Theses and Dissertations, 1919-2007.
Murphy G, Cown D (2015) Stand, stem and log segregation
based on wood properties: A review. Scand J Fr Res
R Core Team (2016) R: A language and environment
for statistical computing. R Foundation for Statistical
Computing, Vienna, Austria. http://www.R-project.org/
(18 November 2016).
RStudio (2016) RStudio: Integrated development environment
for R. Boston, MA. https://www.rstudio.com/
(18 November 2016).
Rippy CR, Wagner FG, Gorman TM, Layton HD, Bodenheimer T (2000) Stress-wave Analysis of Douglas-fir Logs for Veneer Properties. Forest Prod J. 50(4): 49-52.
Ross RJ (2015) Nondestructive testing and evaluation of
wood. Page 169 in Ross RJ, ed. Nondestructive evaluation
of wood, 2nd ed. General Technical Report FPL-GTR-238,
USDA, Forest Service, Forest Products Laboratory,
Ross RJ, Pellerin RF (1994) Nondestructive testing for assessing wood members in structures, a review. USDA For Serv. FPL-GTR-70
Shmulsky R, Seale RD, Snow RD (2006) Analysis of acoustic velocity as a predictor of stiffness and strength in 5-inch-diameter pine dowels. Forest Prod J. 56(90); 53-55.
Southern Forest Products Association (SFPA) (2005)
Industry statistics: Annual production from 2000 to
Metairie, LA (white paper).
Southern Forest Products Association (SFPA) (2016a)
July 2016 southern pine shipments. Metairie, LA
(29 September 2016).
Southern Forest Products Association (SFPA) (2016b)
September 2016 SP exports. Metairie, LA (9 November
Southern Forest Products Association (SFPA) (2016c)
September 2016 softwood lumber imports. Metairie,
LA (9 November 2016).
Sunley JG, Hudson WM (1964) Machine grading of lumber
in Britain. Forest Prod J 14:155-158.
U.S. Census Bureau (2012) Lumber production and mill stocks: 2010. http://www.census.gov/manufacturing/cir/historical_data/ma321t/ma321t10.xls Accessed June 27, 2012.
Wang X (2004) Stress wave sorting of red maple logs for
structural quality. Wood Sci Technol 37:531-537.
Wang X, Ross BJ, Mattson JA, Erickson JR, Forsman
JW, Geske EA, Wehr MA (2002) Nondestructive evaluation
techniques for assessing modulus of elasticity
and stiffness of small-diameter logs. Forest Prod J
Wang X, Verrill S, Lowell E, Ross RJ, Herian VL (2013)
Acoustic sorting models for improved log segregation.
Wood Fiber Sci 45(4):343-352.
Yang BZ, Seale RD, Shmulsky R, Dahlen J, Wang X
(2015) Comparison of nondestructive testing methods
for evaluating no. 2 southern pine lumber: Part A, modulus
of elasticity. Wood Fiber Sci 47(4):375-384.
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