Prediction of Bending Properties for Turkish Red Pine (Pinus brutia Ten.) Lumber using Stress Wave Method

Güntekin, Ergün; Emiroglu, Zeynep Gozde; Yılmaz, Tuğba

doi:10.15376/biores.8.1.231-237

Cited by 20 publications

(26 citation statements)

References 8 publications

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“…They have reported a coefficient of determination of 0,84 for bending stiffness. Similar coefficient of determination value has been reported by Guntekin et al (2013) for bending stiffness of Turkish Red pine.…”

Section: Resultssupporting

confidence: 88%

Prediction of bending properties for beech lumber using stress wave method

Güntekin

Ozkan

Yılmaz

2014

Maderas, Cienc. tecnol.

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In this study; bending properties of beech wood (Fagus orientalis) were predicted using stresswave method and compared with static bending tests. First, lumbers which were different in length and cross section were weighed and dimensions were measured. Then, moisture contents were obtained via moisture meter. By using the density, moisture, and dimensions of the samples in MTG Timber Grader device, dynamic modulus of elasticity values were determined. And then, samples were subjected to 3 point bending test. Modulus of elasticity and bending strengths were calculated using load -deformation curves. Regression models were developed to interpret relationships between dynamic modulus elasticity and bending properties. Results showed that there is a high regression coefficient (0,86) between dynamic modulus of elasticity and static modulus of elasticity. Regression coefficient between dynamic modulus of elasticity and static bending strength was measured as (0,72) and regression coefficient between static modulus of elasticity and static bending strength was measured as (0,74). Results indicate that bending properties of beech wood lumber can be predicted using stress wave method.

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Section: Resultssupporting

confidence: 88%

Prediction of bending properties for beech lumber using stress wave method

Güntekin

Ozkan

Yılmaz

2014

Maderas, Cienc. tecnol.

Self Cite

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“…MOE dyn shows significant correlation with compressive MOE (R = 0.92), R hardness (R = 0.85), T hardness (R = 0.77), and tensile stress at maximum load (R = 0.73) ( Table 3). Regression analysis reveals a linear relationship between MOE dyn and MOE static with R 2 of 0.77 (Figure 1), which is consistent with those reported by Horvath et al 2010 (R 2 = 0.78) and Guntekin et al 2013 (R 2 = 0.84). This study gives evidence that stress wave velocity obtained by the instrument Treesonic Microsecond Timer (TMT, Fakopp) is suitable to make reliable prediction of bending, compressive, hardness and tensile strength properties of the most commonly used timber species of the region, in the field.…”

Section: Relation Among Dynamic Moe and Mechanical Propertiessupporting

confidence: 87%

Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation

Ponneth

Vasu

Easwaran³

et al. 2014

Holzforschung

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Wood physical and mechanical properties in seven tropical hardwood species viz., Acacia auriculiformis A. Cunn. ex Benth., Artocarpus hirsutus Lamk., Artocarpus heterophyllus Lamk., Swietenia macrophylla King, Xylia dolabriformis Benth., Hevea braziliensis (H.B.K.) M. A.), and Tectona grandis L.f. have been studied by means of destructive and non-destructive techniques (NDT). Mechanical strength properties and specific gravity were evaluated by conventional methods. NDT was carried out by a Pilodyn and Treesonic Microsecond Timer (TMT) to measure a steel pin penetration depth into wood and dynamic MOE, respectively. In focus was the question, whether NDT data are suitable predictors for physical and mechanical properties of the indicated hardwood species. Dynamic MOE obtained by TMT correlated strongly positive with all the strength properties studied, except shearing stress. TMT data also correlated very well to static bending MOE and MOR. A linear relationship was found between Pilodyn steel pin penetration depth and oven dry specific gravity in all the species. Both Pilodyn and TMT proved to be useful predictors of timber properties, and these instruments have a high potential for timber grading.

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“…For instance, Li et al [18] presented the stress wave velocity model to diagnosis the internal defects in urban trees. According to Guntekin et al [19], the imaging results and detection precision still need to be improved, although many stress wave detection devices are capable of generating twodimensional or three-dimensional tomographic images of wood cross sections. Sun and Wang [20] found that the twodimensional image detected by the stress wave was not accurate enough to show the shape of the decayed area.…”

Section: Introductionmentioning

confidence: 99%

Detection and Prediction of Internal Damage in the Ancient Timber Structure Based on Optimal Combined Model

Wang

Qian

et al. 2019

Advances in Civil Engineering

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It is currently known that using stress wave and drilling resistance to detect the internal damage in the ancient timber structure is not a highly precise process. To improve the detection precision of this process, a simulation test was used to detect the internal damage of poplar and elm in ancient buildings. In this empirical study, we compared the detection precision of these two detection methods. Based on the idea of variable weight, we introduced three combined forecasting models based on the IOWA operator, IOWGA operator, and IOWHA operator to predict the internal damage in the ancient timber structure. The results show that the combined forecasting model based on the IOWA operator is more effective in predicting compared to a single detection method and other combined forecasting models. To be more specific, the results show that the detection precision of the combined model is increased by 25.8% and 4.7%, respectively, compared to the precision of the stress wave and drilling resistance tests. The error indicators of the combined forecasting model based on the IOWA operator are better than those of the other combined forecasting models. In addition, the analysis results based upon cross-validation theory show the combined forecasting model based on the IOWA operator has the best applicability, which provides a new practical method for evaluating internal damage of timber components in ancient buildings.

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Prediction of Bending Properties for Turkish Red Pine (Pinus brutia Ten.) Lumber using Stress Wave Method

Cited by 20 publications

References 8 publications

Prediction of bending properties for beech lumber using stress wave method

Prediction of bending properties for beech lumber using stress wave method

Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation

Detection and Prediction of Internal Damage in the Ancient Timber Structure Based on Optimal Combined Model

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