Cited by 3Wood Treatment and PropertiesUltrasonics and Acoustic Wave PropagationStructural Engineering and Materials Analysis

Estimating lumber properties with acoustic-based technologies—Part 1: Modeling acoustic (stress) wave behavior in clear wood and lumber

Open access
Senalik, Christopher Adam, França, F. J. N., Seale, R. D., Ross, Robert J., Shmulsky, R.·2020·Wood and Fiber Science

Abstract

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.

Integrity signals

Registry

Crossref · 10.22382/wfs-2020-036

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Cited by

Still being checked.

Authors
Senalik, C. A., França, F. J. N., Seale, R. D., Ross, R. J., & Shmulsky, R.
Affiliations
  • United States Department of Agriculture (US)
  • Mississippi State University (US)
Venue
Wood and Fiber Science
Published
2020-10-28
Volume
52
Issue
4
Pages
380-389
ISSN
0735-6161 (ISSN-L)
OpenAlex
W3096784240
Cited by
3
References
4
Citations by year
2023: 1 · 2022: 1 · 2021: 1
FWCI
0.39
Type
journal article
Language
en
Open access
Locations
  • Wood and Fiber Science (publishedVersion)
  • Wood and Fiber Science (Society of Wood Science and Technology) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Building and Construction › Wood Treatment and Properties
  • Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
Keywords
acoustic wave propagation, structural timber, elastic modulus, flexural strength, clear wood, wave propagation modeling, signal processing, wood mechanical properties

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review