Estimating mechanical properties of clear wood from ten‐year‐old Melia azedarach trees using the stress wave method

Duong, Doan Van; Ridley-Ellis, Daniel

doi:10.1007/s00107-021-01664-8

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…A number of studies have reported that values of dynamic modulus of elasticity based on stress wave velocity are higher than those obtained by destructive tests (Wang et al 2001;Duong and Matsumura 2018;Duong and Ridley-Ellis 2021). In this study, the overall mean value of MOEd was 17.82% higher than that of MOE (…”

Section: Among-clonal Variation Of Stress Wave Velocity Wood Density ...mentioning

confidence: 44%

Radial and among-clonal variations of the stress-wave velocity, wood density, and mechanical properties in 5-year-old Acacia auriculiformis clones

Duong

Schimleck

Tran

et al. 2022

BioRes

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Radial and between-clone variations in stress-wave velocity, air-dry density (AD), and mechanical properties in six clones of 5-year-old Acacia auriculiformis trees planted in Vietnam were investigated. The potential to predict modulus of elasticity (MOE) and modulus of rupture (MOR) using stress-wave velocity of standing trees (SWVT) or small specimens (SWVS) was also examined. The examined SWVT, SWVS, and wood properties differed significantly among clones, particularly with two (clones 1 and 6) well suited for A. auriculiformis tree breeding programs focusing on lumber production, as they had the highest static bending values and no significant difference in AD between positions near pith and bark. At the specimen level, the best prediction of static bending properties could be achieved when both SWVS and AD were used in a model for calculation of dynamic modulus of elasticity (MOEd) in air-dry conditions. Significant correlations between SWVT and average MOE (r = 0.83) and MOR (r = 0.61) of test specimens indicated that the use of stress-wave technique for assessing MOE and MOR for selecting the best A. auriculiformis clones in terms of lumber performance was possible.

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Section: Among-clonal Variation Of Stress Wave Velocity Wood Density ...mentioning

confidence: 44%

Radial and among-clonal variations of the stress-wave velocity, wood density, and mechanical properties in 5-year-old Acacia auriculiformis clones

Duong

Schimleck

Tran

et al. 2022

BioRes

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show abstract

“…In contrast, Mascarenhas et al (2021) showed that there was a significant (P < 0.001) but weak correlation (r 2 = 0.29) between ultrasonic propagation speed and bending strength of tropical wood species. In addition, Duong and Ridley-Ellis (2021) reported a poor relationship between stress wave velocity and MOE (r 2 = 0.23) and no significant relationship between stress wave velocity and MOR for Melia azedarach. Based on the present results and previous reports, the relationship between acoustic velocity and static bending properties depends on tree species.…”

Section: Resultsmentioning

confidence: 90%

“…There are widespread non-destructive techniques, equipment, and evaluation procedures available today that are used to assess properties of trees (Hasegawa and Sasaki 2000;Schimleck et al 2006;Guntenkin and Aydin 2016;Duong and Matsumura 2018;Duong and Ridley-Ellis 2021). Among various NDE methods, the acoustic technique using the ultrasonic wave propagation in wood is considered as a good option for the prediction of wood stiffness without modifying its end-use (Karlinasari et al 2008;Vazquez et al 2015;Posta et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Predicting mechanical properties of clear wood from Acacia mangium provenances using ultrasound

Duong

Hasegawa

2021

BioRes

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Ultrasound was considered as a means for determining mechanical properties of clear wood in six different Acacia mangium provenances from a trial forest planted in Vietnam. A total of 30 trees (5 trees from each provenance) with no major defects were selected, and a 50-cm-long log was obtained at 1.3 m above the ground from each tree for the assessment of mechanical properties. The measured average ultrasound velocities for provenances tested in the longitudinal direction ranged from 4094 m/s to 4271 m/s. The predicted average dynamic modulus of elasticity (Ed) values varied from 7.42 GPa to 8.70 GPa among provenances. The Ed indicated significant positive correlation coefficients with modulus of elasticity (0.64 to 0.96), modulus of rupture (0.44 to 0.87), and compression strength (0.54 to 0.92) for provenances examined in this study. The results indicated that the use of ultrasound was feasible to determine the mechanical properties of A. mangium provenances planted in Vietnam.

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Section: Determination Of the Stem's Density And Mechanical Propertiesmentioning

confidence: 99%

“…Meanwhile, nondestructive testing based on sonic velocity propagation in the longitudinal direction of the standing tree using the stress wave timer tool of Fakopp Microsecond Timer (Fakopp Bt, Sopron, Hungary) measured the dynamic modulus of elasticity (E d ). Although the E d values resulting from nondestructive acoustic-based testing were consistently higher than the static bending test results, there was a strong correlation between the values [41][42][43][44][45][46][47][48]; thus, E d is a common indicating predictor to estimate static mechanical properties of wood. Duong et al [47] also reported that dynamic modulus of elasticity (E d ) values of small clear wood had a similar trend in radial direction arrangement cutting sawn lumber with the static modulus of elasticity (E s ).…”

Section: Determination Of the Stem's Density And Mechanical Propertiesmentioning

confidence: 99%

Structural Analysis of Self-Weight Loading Standing Trees to Determine Its Critical Buckling Height

et al. 2023

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A tree may receive compression and flexure combination, and the structural analysis governed by the building code may be capable of estimating the tree’s safety in the built environment. This study proposed to refer to the building code to check the tree dimension adequacy resisting the load. This study simplified the case by focusing only on the self-weight and ignoring the external loads; therefore, the buckling analysis of a slender tapered round column subjected to compression is advocated. Buckling occurs when the tree’s structure can no longer maintain its original shape. Euler and Ylinen’s buckling stress analysis (Method 1) calculated tree safety with a 95% confidence level. This study also applied the Greenhill formula (Method 2) to determine the critical height of a tree receiving the stem weight, then modified it to include the crown weight (Method 3). The three methods calculated the critical height to determine the safety factor (Sf), that is, the ratio of the actual tree height (H) to the 95% confidence level estimated critical height (Hcr). The safety factors were then categorized as unsafe (Sf < 1.00), safe (1.00 < Sf < 1.645), and very safe (1.645 < Sf). This study demonstrated that Method 1 is the most reliable and applicable among other methods. Method 1 resulted in no unsafe trees, 10 safe trees, and 13 very safe trees among the observed excurrent agathis (Agathis dammara). Meanwhile, among the decurrent rain trees (Samanea saman (Jacq.) Merr), 5, 31, and 14 were unsafe, safe, and very safe, respectively.

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Estimating mechanical properties of clear wood from ten‐year‐old Melia azedarach trees using the stress wave method

Cited by 7 publications

References 16 publications

Radial and among-clonal variations of the stress-wave velocity, wood density, and mechanical properties in 5-year-old Acacia auriculiformis clones

Radial and among-clonal variations of the stress-wave velocity, wood density, and mechanical properties in 5-year-old Acacia auriculiformis clones

Predicting mechanical properties of clear wood from Acacia mangium provenances using ultrasound

Structural Analysis of Self-Weight Loading Standing Trees to Determine Its Critical Buckling Height

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