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Grading lumber with acoustic-based technologies Part 1: modeling acoustic (stress) wave behavior in clear wood and lumber

Christopher Adam Senalik, F. J.N. Franca, R. D. Seale, Robert J. Ross, R. Shmulsky


This research article summarizes results from Part 1 of a study designed to examine using advanced signal processing techniques with acoustic-based lumber assessment technologies to evaluate the MOE, ultimate tension stress (UTS), and MOR of structural lumber. In Part 1 of this research article, a mathematical model of acoustic wave behavior in an idealized specimen is derived using fundamental mechanics. Published information on the physical and mechanical properties of clear, defect-free wood is input into the model to examine acoustic wave behavior. Wave behavior is then examined experimentally in a series of wood specimens. Observed wave behavior in the clear wood specimens, in both time and frequency domains, closely resembles idealized wave behavior. In Part 2 of this research article, predictions from the model are used to improve estimation of the UTS of wood specimens.



wave model; frequency; clear wood; lumber; modulus of elasticity

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Bertholf LD (1965) Use of elementary stress wave theory for prediction of dynamic strain in wood. Washington State Institute of Technology, Bulletin 291. Washington State University, Pullman, WA. 86 pp.

Fakopp Enterprise (2005) Portable Lumber Grader software and hardware guide. Version 2.0, A´ gfalva, Hungary.

Galligan WL, Bertholf LD (1963) Piezoelectric effect in wood. Forest Prod J 13:517-524.

Galligan WL, Courteau R (1965) Measurement of elasticity of lumber with longitudinal stress waves and the piezo- electric effect of wood. Pages 223-244 in WL Galligan, ed. Proc., 2nd Symposium Nondestructive Testing of Wood, April 1965, Spokane, WA. Washington State University, Pullman, WA.

Graff KE (1975) Wave motion in elastic solids. Dover Publications, Inc., New York, NY. 649 pp.

McGovern M, Senalik CA, Chen G, Beall FC, Reis H (2013) Effect of decay on ultrasonic velocity and attenuation measurements in wood. Mater Eval 71(10):1217-1231.

Pellerin RF, Galligan WL (1973) Nondestructive method of grading wood materials. Canadian Patent 918,286.

Ross RJ (1984) Stress wave speed and attenuation as predictors of the tensile and flexural properties of wood-based particle composites. PhD dissertation, Washington State University, Pullman, WA. 72 pp.

Ross RJ (2010) Wood handbook—Wood as an engineering material, Centennial edition. General Technical Report FPL-GTR-190. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI. 509 pp.

Ross RJ (2015) Nondestructive evaluation of wood, 2nd edition. General Technical Report FPL-GTR-238. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI. 176 pp.

Senalik CA (2013) Detection and assessment of wood decay–glulam beams and wooden utility poles. PhD dissertation, University of Illinois, Urbana-Champaign, IL. 232 pp.

Senalik CA, Schueneman G, Ross RJ (2014) Ultrasonic- based nondestructive evaluation methods for wood: A primer and historical review. General Technical Report FPL-GTR-235. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI. 36 pp.


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