Nondestructive Evaluation of 2 by 10 Southern Pine Lumber
Open accessAbstract
Efficient use of the available wood resources is necessary to sustainably meet the long-term demand for wood products. This paper presents research about the potential of using transverse and longitudinal vibration techniques to evaluate the bending modulus of elasticity MOE (E b) and tensile properties (E t and UTS) of 2 by 10 No. 2 grade southern pine (Pinus spp.) lumber. A total of 285 lumber pieces were first nondestructively tested using longitudinal vibration (Director HM 200), transverse vibration (Metriguard E-computer), and proof-loading bending tests (Universal Instron Machine). Each specimen was then destructively tested in tension parallel to the grain to determine tension modulus of elasticity (E t) and ultimate tensile stress (UTS). Correlations between growth characteristics, physical, and mechanical properties were analyzed. Excellent correlative relationships between longitudinal and transverse dMOE with the elastic properties E b, and E t were found. A strong correlation was also found between the elastic properties E b and E t. The prediction of E b was improved after adding density to the model. The estimation of UTS was also improved with the addition of density and a secondary nondestructive measurement. Nondestructive techniques are recommended to assess the mechanical properties of southern pine 2 by 10 lumber.
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Written from the paper’s full text.
TL;DR
This study evaluated longitudinal and transverse vibration nondestructive techniques to predict bending modulus of elasticity, tension modulus of elasticity, and ultimate tensile stress in 285 pieces of 2 by 10 No. 2 southern pine lumber. It found that dynamic MOE strongly predicts bending and tension MOE, while UTS prediction improved modestly when density and frequency-domain area were added.
Key findings
- Dynamic MOE from transverse and longitudinal vibration correlated strongly with bending MOE (r = 0.865 and 0.826, respectively) and tension MOE (r = 0.885 and 0.887, respectively); bending MOE and tension MOE also correlated strongly (r = 0.785).
- For bending MOE, transverse-vibration dMOE alone gave R² = 0.75, and adding density improved it to R² = 0.77; longitudinal-vibration dMOE alone gave R² = 0.68, and adding density improved it to R² = 0.72. For tension MOE, dMOE alone gave R² = 0.78 (transverse) and 0.79 (longitudinal), and adding density did not improve the estimate.
- For UTS, density was the best single predictor (R² = 0.33); density plus transverse dMOE increased R² to 0.40, and density plus longitudinal dMOE plus FDA gave the best UTS model (R² = 0.45). Overall UTS mean was 24.42 MPa with a COV of 47.67%.
- Length (14 ft vs. 16 ft) did not significantly affect bending or tensile properties at alpha = 0.05.
Methods
- The sample consisted of 285 pieces of 2 by 10 No. 2 KD southern pine structural lumber: 85 pieces at 14 ft and 200 pieces at 16 ft, conditioned to 12% moisture content before testing.
- Nondestructive tests used longitudinal vibration (Director HM 200), transverse vibration (Metriguard E-computer), and proof-loading four-point bending; all pieces were then destructively tested in tension parallel to the grain to measure tension MOE and UTS.
- Analyses included descriptive statistics, Pearson bivariate correlations, and stepwise multiple linear regression predicting bending MOE, tension MOE, and UTS from dMOE, density, and FDA, using SAS version 9.4 per ASTM D2915-17.
Limitations
- The paper does not state an explicit limitations section. Evident from the text: the sample is limited to 285 pieces of 2 by 10 No. 2 KD southern pine from two lengths (14 ft and 16 ft) conditioned to 12% moisture content, so findings may not generalize to other grades, sizes, species, or moisture conditions.
- Evident from the text: UTS prediction remained modest even with the best model (R² = 0.45), and UTS had high variability (COV = 47.67%), making NDT-based UTS estimates less reliable than stiffness estimates.
- The paper notes that wood’s anatomical variability and naturally occurring defects such as knots, grain angle, reaction wood, and decay can reduce strength properties and challenge manufacturers and end-users, but it does not frame this as a study limitation.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
1 of 17 cited sources checked · 1 supported · 0 flagged
- Findingcitation
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).”
Quote in the paperNot a substantial claim1 of 2 sources checked- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
The prediction of Eb was improved after adding density to the model.
“The prediction of E b was improved after adding density to the model.”
- Also stated in: § Results and Discussion · plain
“For E b , the combination of dMOE tv with density presented a slightly higher coefficient of determination (R 2 ¼ 0.77) when compared with a single predictor (R 2 ¼ 0.75; dMOE tv ).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Also stated in: § Results and Discussion · plain
- Findingown data
FDA presented a potential relationship with UTS (r = -0.383).
“FDA presented a potential relationship with UTS (r ¼ À0.383).”
Quote in the paperNot a substantial claim - Findingown data
Density had notable correlations with all three mechanical properties.
“Density had notable correlations with all three mechanical properties.”
Quote in the paperNot a substantial claim - Findingown data
A strong correlation was found between Eb and Et.
“A strong correlation was found between E b and E t (r ¼ 0.785).”
- Also stated in: § Abstract · boosted
“A strong correlation was also found between the elastic properties E b and E t .”
Quote in the paperSubstantial claim - Also stated in: § Abstract · boosted
- Findingown data
For UTS, density was the best single predictor variable (R2 = 0.33).
“For UTS, density was the best single predictor variable (R 2 ¼ 0.33).”
- Also stated in: § Conclusions · plain
“Density was the best single predictor for UTS.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Also stated in: § Conclusions · plain
- Findingown data
Density exhibited the highest correlation with UTS (r = 0.576).
“Density exhibited the highest correlation with UTS (r ¼ 0.576).”
Quote in the paperNot a substantial claim - Findingown data
RPI had moderate correlations with density, dMOE, Eb, and Et.
“RPI had moderate correlations with density (r ¼ 0.362), dMOE (dMOE tv ¼ 0.567; dMOE long ¼ 0.579), E b (r ¼ 0.461), and E t (r ¼ 0.520).”
Quote in the paperNot a substantial claim - Findingown data
Eb mean values are higher than Et and dMOE values.
“E b mean values are higher than E t and dMOE values.”
Quote in the paperNot a substantial claim - Findingown data
The dMOE tv mean value was slightly higher than the dMOE long mean value.
“The dMOE tv mean value was found to be slightly higher than the dMOE long mean value.”
Quote in the paperNot a substantial claim - Findingown data
LW had moderate correlations with density, dMOE, Eb, and Et.
“LW (%) also presented moderate correlations with density (r ¼ 0.523), dMOE (dMOE tv ¼ 0.445; dMOE long ¼ 0.390), E b (r ¼ 0.508), and E t (r ¼ 0.375).”
Quote in the paperNot a substantial claim - Findingown data
Nondestructive methods showed moderate correlation with UTS (r = 0.554 for dMOE tv; r = 0.542 for dMOE long).
“Nondestructive methods also showed moderate correlation with UTS (r ¼ 0.554, dMOE tv ; r ¼ 0.542, dMOE long ).”
Quote in the paperSubstantial claim - Findingown data
The estimation of UTS was improved with the addition of density and a secondary nondestructive measurement.
“The estimation of UTS was also improved with the addition of density and a secondary nondestructive measurement.”
- Also stated in: § Results and Discussion · plain
“The inclusion of density and dMOE tv increased the R 2 to 0.40.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Also stated in: § Results and Discussion · plain
- Findingown data
Using dMOE long to predict Eb generated R2 = 0.68, lower than using the transverse vibration technique.
“The use of dMOE long to predict E b generated a slightly lower coefficient of determination (R 2 ¼ 0.68) than the one obtained using the transverse vibration technique.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
RPI and LW showed low correlation with UTS (r = 0.310 and r = 0.323, respectively).
“RPI and LW (%) showed low correlation with UTS (r ¼ 0.310, and r ¼ 0.323, respectively).”
Quote in the paperNot a substantial claim - Findingown data
The NDT techniques exhibited high correlations with Et (dMOE tv = 0.885 and dMOE long = 0.887).
“The NDT techniques also exhibited high correlations with E t (dMOE tv ¼ 0.885 and dMOE long ¼ 0.887).”
Quote in the paperSubstantial claim - Findingown data
No statistically significant differences were found between bending or tensile properties and the length factor (14 ft and 16 ft).
“A preliminary evaluation (results not shown) demonstrated no statistically significant differences between bending or tensile properties (alpha ¼ 0.05), and the length factor (14 ft. and 16 ft.)”
- Also stated in: § Conclusions · plain
“The length (14 ft. and 16 ft.)does not significantly affect the bending and tensile properties of 2 by 10 southern pine lumber.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Findingown data
Et estimation using dMOE tv or dMOE long as single predictors generated R2 = 0.78 and 0.79, respectively.
“The E t estimation using dMOE tv or dMOE long as single predictors generated an R 2 equal to 0.78 and 0.79, respectively.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
Excellent correlative relationships were found between longitudinal and transverse dMOE and the elastic properties Eb and Et for 2 by 10 southern pine lumber.
“Excellent correlative relationships between longitudinal and transverse dMOE with the elastic properties E b , and E t were found.”
- Also stated in: § Results and Discussion · boosted
“Results for both nondestructive techniques confirm that dMOE is an excellent predictor of E b and E t for southern pine 2 by 10 lumber.”
Quote in the paperSubstantial claim - Also stated in: § Results and Discussion · boosted
- Findingown data
The combination of dMOE long with density improved Eb estimation to R2 = 0.72.
“However, the combination of dMOE long with density improved the E b estimation (R 2 ¼ 0.72; see Table 6).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
Longitudinal vibration (dMOE long) was a slightly better predictor for Et.
“Longitudinal vibration (dMOE long ) was a slightly better predictor for E t .”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
The combination of variables did not enhance the estimation of Et.
“On the other hand, the combination of variables did not enhance the estimation of E t .”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
The inclusion of density and dMOE tv increased the R2 for UTS to 0.40.
“The inclusion of density and dMOE tv increased the R 2 to 0.40.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
Transverse vibration (dMOE tv) was the best single predictor for Eb.
“Transverse vibration (dMOE tv ) was the best single predictor for E b .”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Findingown data
Density, MOE long, and FDA was the best combination to predict UTS (R2 = 0.45).
“In contrast, density, MOE long , and FDA was the best combination to predict UTS (R 2 ¼ 0.45).”
- Also stated in: § Conclusions · plain
“The combination of density, dMOE long , and frequencydomain area (FDA) improved the UTS prediction.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Also stated in: § Conclusions · plain
- Findingown data
The highest coefficient of determination for Eb is found when using the transverse vibration technique.
“Although E b is best estimated when using either MOE tv or MOE long combined with density, the highest coefficient of determination is found when using the transverse vibration technique (see Fig. 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Premisecitation
Measuring the speed of acoustic waves generated by a physical impact that travels on a lumber specimen permits determination of the dynamic modulus of elasticity (dMOE).
“Measuring the speed of acoustic waves generated by a physical impact that travels on a lumber specimen permits the determination of the dynamic modulus of elasticity (dMOE; Ross 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ross 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The prediction of UTS can be improved when two or more variables are included in the model.
“Our results show that the prediction of UTS can be improved when two or more variables are included in the model.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
- Interpretationown data
Results confirm that dMOE is an excellent predictor of Eb and Et for southern pine 2 by 10 lumber.
“Results for both nondestructive techniques confirm that dMOE is an excellent predictor of E b and E t for southern pine 2 by 10 lumber.”
Quote in the paperSubstantial claim - Premisenone given
The dMOE can be used to estimate the modulus of rupture (MOR).
“The dMOE can be used to estimate the modulus of rupture (MOR).”
Quote in the paperSubstantial claim
- The quote only partly states this claim. 1
- May combine two claims. 14
- Classified as probably not a substantial claim. 11
The quote only partly states this claim.
Findingown dataThe addition of density did not improve Et estimation with either NDT technique.
“The combination of dMOE tv þ density improved the prediction of E b but did not improve that of E t .”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
May combine two claims.
Findingown dataThe overall dMOE long mean was 10,094 MPa, with range 4,614 to 19,635 MPa and COV 24.77 percent.
“The overall dMOE long mean value for both lengths tested was 10,094 MPa, with a range from 4,614 to 19,635 Mpa with a COV of 24.77 percent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor Eb, the combination of dMOE tv with density had R2 = 0.77, slightly higher than the single predictor dMOE tv R2 = 0.75.
“For E b , the combination of dMOE tv with density presented a slightly higher coefficient of determination (R 2 ¼ 0.77) when compared with a single predictor (R 2 ¼ 0.75; dMOE tv ).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
May combine two claims.
Findingown dataThe mean UTS was 24.42 MPa, with range 7.40 to 72.97 MPa and COV 47.67 percent.
“The mean for UTS was 24.42 Mpa, ranging from 7.40 to 72.97 Mpa with a COV of 47.67 percent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe overall mean Et was 9,735 MPa, with range 4,415 to 18,548 MPa and COV 25.62 percent.
“For E t , the overall mean was 9,735 Mpa, ranging between 4,415 Mpa and 18,548 Mpa with a COV of 25.62 percent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe specimens evaluated meet the SPIB No. 2 grade lumber RPI and LW percentage requirements.
“Our results show that the specimens evaluated meet the SPIB No. 2 grade lumber RPI and LW percentage requirements.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites SPIB 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe average moisture content when pieces were tested was 11.82 percent.
“The average moisture content (MC) when pieces were tested was 11.82 percent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor Eb and Et, the correlation with density was moderate (r = 0.642 and r = 0.514, respectively).
“For E b and E t the correlation with density was moderate (r ¼ 0.642 and r ¼ 0.514, respectively).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe overall density mean of the 2 by 10 southern pine lumber was 547 kg/m3, with minimum 436 kg/m3 and maximum 754 kg/m3.
“The overall density mean, minimum, and maximum were 547 kg/m 3 , 436 kg/m 3 , and 754 kg/m 3 , respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor Eb, the highest correlations were with dMOE tv (r = 0.865) and dMOE long (r = 0.826).
“E b | 0.064 (0.2833) | 0.461 (,0.0001) | 0.508 (,0.0001) | 0.642 (,0.0001) | 0.865 (,0.0001) | 0.826 (,0.0001) | À0.251 (,0.0001) | 1”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mean RPI was 3.82, with minimum 1.67 and maximum 15.67.
“The mean, minimum, and maximum for RPI were 3.82, 1.67, and 15.67, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe overall dMOE tv mean was 10,447 MPa, with minimum 4,850 MPa, maximum 19,658 MPa, and COV 24.87 percent.
“The overall mean for dMOE tv tested (both lengths combined) was 10,447 Mpa with a minimum of 4,850 Mpa, a maximum of 19,658 Mpa, and a COV of 24.87 percent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe overall mean Eb was 13,365 MPa, with range 7,162 to 22,103 MPa and COV 21.88 percent.
“The overall mean for E b was 13,365 Mpa.The minimum and maximum values ranged between 7,162 Mpa and 22,103 Mpa, with a COV of 21.88 percent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe mean LW was 45.02 percent, with minimum 21.09 percent, maximum 76.56 percent, and COV 21.07 percent.
“For LW (%), the mean was 45.02 percent; the minimum was 21.09 percent, the maximum was 76.56 percent and the coefficient of variation (COV) was 21.07 percent.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe combination of density and dMOE tv or of density, dMOE long, and FDA increased the ability to estimate UTS.
“As previously stated, the combination of density and dMOE tv or of density, dMOE long , and FDA increased the ability to estimate UTS (see Fig. 5).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 1967, Doyle and Markwardt found an overall mean of 23.44 for UTS obtained from No. 2 KD southern pine lumber (sizes 2 by 4, 2 by 6, and 2 by 8).
“In 1967, Doyle and Markwardt found an overall mean of 23.44 for UTS obtained from No. 2 KD southern pine lumber (sizes 2 by 4, 2 by 6, and 2 by 8).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Doyle and Markwardt
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationTension parallel to the grain is one of the fundamental properties of wood.
“Tension parallel to the grain is one of the fundamental properties of wood (Doyle and Markwardt 1967).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Doyle and Markwardt 1967
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe high level of strength exhibited by a piece of wood when exposed to a tension force is related to its anatomical features such as fiber orientation, fiber arrangement, and thickness of cell walls.
“The high level of strength exhibited by a piece of wood when exposed to a tension force is related to its anatomical features such as fiber orientation, fiber arrangement, and thickness of cell walls (Record 1914).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Record 1914
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral authors have found excellent correlative relationships between MOE and dMOE using the longitudinal and transverse vibration technique.
“Several authors have found excellent correlative relationships between MOE and dMOE using the longitudinal and transverse vibration technique (Wang et al. 1993;Yang et al. 2015;Franc ¸a et al. 2018aFranc ¸a et al. , 2020b)).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Wang et al. 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Yang et al. 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites França et al. 2018a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious authors (França et al. 2020a) noted the same difference among techniques.
“Previous authors (Franc ¸a et al. 2020a) noted the same difference among techniques.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites França et al. 2020a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDoyle and Markwardt (1967) evaluated properties from 496 specimens (2 by 4, 2 by 6, and 2 by 8 sizes) and correlated the results with flatwise nondestructive bending tests.
“The authors evaluated properties from 496 specimens (2 by 4, 2 by 6, and 2 by 8 sizes) and correlated the results with the ones obtained from flatwise nondestructive bending tests.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Doyle and Markwardt 1967
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationThe transverse vibration technique allows evaluation of dMOE by measuring the oscillation frequency in the vertical direction generated after a lumber piece is slightly deflected at the midspan.
“This method allows the evaluation of dMOE by measuring the oscillation frequency in the vertical direction generated after a lumber piece is slightly deflected at the midspan of the lumber piece (Franc ¸a et al. 2018a(Franc ¸a et al. , 2019b)).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites França et al. 2018a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites França et al. 2019b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationSPIB guidelines specify that southern pine lumber should have four or more annual rings per inch on either one end or the other of the piece to be considered a No. 2 grade.
“SPIB guidelines specify that southern pine lumber should have four or more annual rings per inch on either one end or the other of the piece to be considered a No. 2 grade.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites SPIB 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn 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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Senalik et al. (2020) source
Classified as probably not a substantial claim.
PremisecitationSenalik 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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Senalik et al. (2020) source
The authors state this as an assumption.
The mechanical properties Eb, Et, and UTS are linear functions of density and NDT properties (and FDA for UTS) as specified in the regression models.
“The variables E b , E t , and UTS were used as multiple linear functions of density and NDT properties.”
Cites
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BENDING STRENGTH AND STIFFNESS OF NO. 2 GRADE SOUTHERN PINE LUMBER
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Self-citationAssessing Southern Pine 2x4 and 2x6 Lumber Quality: Longitudinal and Transverse Vibration
França, F. J. N., Seale, R. D., Shmulsky, R., & França, T. S. F. A. (2019) · Wood and Fiber Science · doi:10.22382/wfs-2019-002 · Cited by 18 · see citing works
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Self-citationNondestructive Evaluation of 2 by 8 and 2 by 10 Southern Pine Dimensional Lumber
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Self-citationEffect of growth rings per inch and density on compression parallel to grain in southern pine lumber
Irby, N. E., França, F. J. N., Barnes, H. M., et al. (2020) · BioResources · doi:10.15376/biores.15.2.2310-2325 · Cited by 10 · see citing works
Self-citationSenalik, C. A., França, F. J. N., Seale, R. D., Ross, R. J., & Shmulsky, R. (2020) · Wood and Fiber Science · doi:10.22382/wfs-2020-037 · Cited by 9 · see citing works
Self-citationWood - the world's most sustainable raw material.
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Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- Ross, R. J. 2008. Transverse vibration techniques: Logs to structural systems. In: Proceedings of the 15th International Symposium on Nondestructive Testing of Wood: September 10–12, 2007. Forest Products Society, Madison, Wisconsin pp. 13–15. ISBN: 9781892529527: 1892529521.
- Wang, Z., Ross, R. J. and Murphy.J. F. 1993. A comparison of several NDE techniques for determining the modulus of elasticity of lumber. World Forestry Res. 6(4): 86– 88.
- Yang, B. Z., Seale, R. D. Shmulsky, R. Dahlen, J. and 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.
Cited by
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Zhang, Y., Long, W., Ou, J., Chen, D., & Chen, Z. (2025) · European Journal of Wood and Wood Products · doi:10.1007/s00107-025-02230-2 · Cited by 3 · see citing works
Towards more accurate grading: non-destructive methods for assessing low-quality sawlogs
Berezjuk, R., Nop, P., Mařı́k, R., Gracovský, R., & Tippner, J. (2025) · Holzforschung · doi:10.1515/hf-2025-0039 · Cited by 2 · see citing works
Modulus of elasticity in standing trees of Pinus montezumae Lamb., using non-destructive testingPreprint
Ramos, X. A. R., de la Rosa, M. A. M. B., Machuca-Velasco, R., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4088012/v1
Estimation of the static modulus of elasticity of wood from the dynamic modulus of elasticity
Ramos, X. A. R., ACUÑA-RELLO, L., Sanz, M. C., Martínez, R. D., la Rosa, A. B.-D., Cuapio-Hernández, L., & Machuca-Velasco, R. (2026) · Forest Systems · doi:10.5424/fs/2025343-21023
Berezjuk, R., Šimek, M., Mařı́k, R., Nop, P., & Tippner, J. (2026) · Central European Forestry Journal · doi:10.2478/forj-2026-0004
- Authors
- Uzcategui, M. G. C., França, F. J. N., Seale, R. D., Senalik, C. A., & Ross, R. J.
- Affiliations
- Mississippi State University (US)
- Venue
- Forest Products Journal
- Publisher
- Forest Products Society
- Published
- 2023-05
- Volume
- 73
- Issue
- 3
- Pages
- 186-193
- ISSN
- 0015-7473 (ISSN-L)
- 2376-9637
- OpenAlex
- W4385232309
- Cited by
- 5
- References
- 13
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Forest Products Journal (publishedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Wood Treatment and Properties
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Keywords
- non-destructive testing, longitudinal vibration, transverse vibration, elastic modulus, tensile properties, ultimate tensile strength, density, wood mechanical properties, growth traits
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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.
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