Cited by 9Wood Treatment and PropertiesUltrasonics and Acoustic Wave PropagationStructural Engineering and Materials Analysis

Estimating lumber properties with acoustic-based technologies—Part 2: Ultimate tension stress estimation from time- and frequency-domain parameters

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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 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.

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Crossref · 10.22382/wfs-2020-037

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  • An improvement in the estimation of UTS using dMOE (longitudinal vibration) and additional parameters such as time-domain area (TDA) and frequency-domain area (FDA) as predictor variables was done in an experimental study by Senalik et al. (2020).

    “An improvement in the estimation of UTS using dMOE (longitudinal vibration) and additional parameters such as the time-domain area (TDA) and frequency-domain area (FDA) as predictor variables was done in an experimental study by Senalik et al. (2020).”

    From Nondestructive Evaluation of 2 by 10 Southern Pine Lumber (2023) · cites this paper as Senalik et al. (2020)

  • Senalik et al. (2020) conducted a study to understand how wood's natural occurring effects and acoustic properties can help estimate ultimate tension stress (UTS).

    “A more recent study was conducted by Senalik et al. (2020) to understand how wood's natural occurring effects and the acoustic properties of wood can be of help in the estimation of ultimate tension stress (UTS).”

    From Nondestructive Evaluation of 2 by 10 Southern Pine Lumber (2023) · cites this paper as Senalik et al. (2020)

  • The improved R2 found for UTS in this study is comparable to the ones reported by Senalik et al. (2020) and Correa et al. (2022).

    “The improved R 2 found for UTS in this study is comparable to the ones reported by Senalik et al. (2020) and Correa et al. (2022).”

    From Nondestructive Evaluation of 2 by 10 Southern Pine Lumber (2023) · cites this paper as Senalik et al. (2020)

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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
390-399
ISSN
0735-6161 (ISSN-L)
OpenAlex
W3097248189
Cited by
9
References
0
Citations by year
2026: 2 · 2023: 3 · 2022: 2 · 2021: 2
FWCI
0.93
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
elastic modulus, structural timber, knots, wood defects, mode conversion, shear waves, wave velocity, time domain parameters, frequency domain parameters, signal processing

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