Mechanical properties assessment of Cunninghamia lanceolata plantation wood with three acoustic-based nondestructive methods |
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Authors: | Yafang Yin Hirofumi Nagao Xiaoli Liu Takashi Nakai |
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Institution: | (1) CSIRO Forestry and Forest Products, Private Bag 10 South Clayton, 3169 Melbourne, Victoria, Australia |
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Abstract: | The objectives of this study were to establish the method of evaluating wood mechanical properties by acoustic nondestructive
testing at standing trees and at logs of a Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) plantation, and to compare three acoustic nondestructive methods for evaluating the static bending modulus
of elasticity (MOE), modulus of rupture (MOR), and compressive strength parallel-to-grain (σc) of plantation wood as well. Fifteen Chinese fir plantation trees at 36 years of age were selected. Each tree was cut into
four logs, for which three values of dynamic modulus of elasticity, i.e., E
sw, of the north and south face based on stress waves to assume the measuring state of the standing tree, E
fr, longitudinal vibration, and E
us, ultrasonic wave, were measured in the green condition. After log measurements, small specimens were cut and air-dried to
12% moisture content (MC). Static bending tests were then performed to determine the bending MOE and MOR, and compressive
tests parallel-to-grain were made to determine σc. The bending MOE of small clear specimens was about 7.1% and 15.4% less than E
sw and E
us, respectively, and 11.3% greater than E
fr. The differences between the bending MOE and dynamic MOE of logs as determined by the three acoustic methods were statistically
significant (P < 0.001). Good correlation (R = 0.77, 0.57, and 0.45) between E
sw, E
fr, and E
us and static MOE, respectively, were obtained (P < 0.001). It can be concluded that longitudinal vibration may be the most precise and reliable technique to evaluate the
mechanical properties of logs among these three acoustic nondestructive methods. Moreover, the results indicate that stress
wave technology would be effective to evaluate wood mechanical properties both from logs and from the standing tree. |
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