Grading lumber with acoustic-based technologies Part 2: ultimate tension stress estimation from time- and frequency-domain parameters

Authors

  • Christopher Adam Senalik USDA Forest Products Laboratory
  • F. J.N. Franca Mississippi State University http://orcid.org/0000-0001-7807-8877
  • R. D. Seale Mississippi State University
  • Robert J. Ross USDA Forest Products Laboratory
  • R. Shmulsky Mississippi State University

Keywords:

frequency, clear wood, lumber, ultimate tension stress

Abstract

This research article summarizes results from Part 1 of a study designed to examine the use of advanced signal processing techniques with acoustic-based lumber assessment technologies to evaluate the MOE and ultimate tension stress (UTS) of structural lumber. In Part 1 of this research, a mathematical model of acoustic wave behavior in an idealized specimen is derived using fundamental mechanics. In Part 2, wave behavior is examined experimentally in a series of 38 × 38 × 2438-mm wood specimens. The specimens vary considerably in visual character. Several of the specimens are, from a visual assessment, clear of naturally occurring defects such as knots. Conversely, strength-reducing defects such as knots are visible in several specimens. The presence of naturally occurring defects can affect acoustic waves in a variety of ways. A few examples include altering wave speed, changing the wave travel path, and/or converting the wave from longitudinal waves to shear waves or back through mode conversion. These alterations can cause wave behavior to deviate from the behavior observed in clear wood specimens. Deviations are observable in both time and frequency domains. From the differences, parameters are identified which improve estimation of UTS.

 

Author Biographies

Christopher Adam Senalik, USDA Forest Products Laboratory

Research General Engineer

USDA Forest Products Laboratory Madison

F. J.N. Franca, Mississippi State University

Assistant Research Professor

Department of Sustainable Bioproducts

Mississippi State University

R. D. Seale, Mississippi State University

Warren S. Thompson Professor

Department of Sustainable Bioproducts

Mississippi State University

Robert J. Ross, USDA Forest Products Laboratory

Supervisory Research General Engineer 

USDA Forest Products Laboratory Madison

R. Shmulsky, Mississippi State University

Warren S. Thompson Professor and Department Head

Department of Sustainable Bioproducts

Mississippi State University

References

American Society for Testing and Materials (ASTM) (2019a) D 245-07. Standard practice for establishing structural grades and related allowable properties for visually graded lumber. American Society for Testing and Materials, West Conshohocken, PA.

American Society for Testing and Materials (ASTM) (2019b) D 4761-19. Standard test methods for mechanical properties of lumber and wood-based structural materials, West Conshohocken, PA.

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.

Divos F, Sugiyama M (1996) Longitudinal stress waves for detecting the location and size of defects in wood and wood-based composites. Forest Prod 40/41:185-191.

Fakopp Enterprise, Portable Lumber Grader software and hardware guide. Version 2.0, A´ gfalva, Hungary. https://fakopp.com/docs/products/plg/PLGGuide.pdf.

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 piezoelectric 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: Dover Publications, Inc. 649 pp.

Jung J (1979) Stress-wave grading techniques on veneer sheets. General Technical Report FPL-GTR-27. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI. 10 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 No. 918286. 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 (1985) Propagation of stress waves in wood products. Pages 291-317 in RF Pellerin and KA McDo- nald, eds. Proc., 5th Symposium Nondestructive Testing of Wood, September 9-11, Pullman, WA. Washington State University, Pullman, WA.

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.

Downloads

Published

2020-10-28

Issue

Section

Research Contributions