Calibration Of Stress Wave Timer for Amazonian Species
DOI:
https://doi.org/10.31686/ijier.vol10.iss10.3978Keywords:
stress wave timer, non-destructive testing, piezoelectricity, Amazonian timberAbstract
Non-destructive testing is increasingly being used on wooden structures. One of the preferred instruments for this task is the Stress Wave Timer, because it is portable and easy to use. This instrument needs to be calibrated to minimize possible reading errors. Tests were performed on samples of different sizes from four Amazonian timber tree species, with differing distances between the start/stop accelerometers and varying gain settings. The aim was to identify errors and find the best ratio between the Metricard SWT’s start and stop accelerometers. The best ratio was observed with settings of 40 for stop and 1 for start. The calculation of the confidence interval for the mean of the stress wave velocities expresses a degree of uncertainty ranging from 2% to 8%, regardless of the species and according to the start/stop ratio. A more in-depth evaluation led to the conclusion that the greatest degree of uncertainty occurs with short pieces. This confirms the need to calibrate the equipment, especially when using the instrument with pieces approximately equal to or less than 70 cm in length. The value for offset time (intersection of the line with the axes) was determined by a simple regression analysis, and indicated that the data correction factor varied from 1.9 to 2.2 depending on the start/stop ratio, at least in the samples studied.
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References
Amini, K., Jalalpour, M., & Delatte, N. (2016). Advancing concrete strength prediction using non-destructive testing: Development and verification of a generalizable model. Construction and Building Materials, 102, 762-768. DOI: https://doi.org/10.1016/j.conbuildmat.2015.10.131
Arvind, A., Joy, J., Sreekalpa, S., Sujith, S., & Ramakrishnan, R. (2016). Power Generation through Human Locomotion. Journal of Electronics and Communication Systems, 1(1).
Dietrich, C. F. (2017). Uncertainty, calibration and probability: the statistics of scientific and industrial measurement. Routledge, 534.
Hoyle, R. J., & Rutherford, P. S. (1987). Stress wave inspection of bridge timbers and decking. NDT and E International, 6(28), 394. DOI: https://doi.org/10.1016/0963-8695(96)82087-1
Kojima, Y., Sakakibara, A., Kobori, H., & Suzuki, S. (2016). Evaluating the durability performance of wood-based panels by a non-destructive bending test. Journal of wood science, 62(3), 263-269. DOI: https://doi.org/10.1007/s10086-016-1545-8
Mattheck, C. G., & Bethge, K. A. (1993). Detection of decay in trees with Metriguard stress wave timer. Journal of Arboriculture, 19, 374-374. DOI: https://doi.org/10.48044/jauf.1993.058
Wlodkowski, P. A., Deng, K., & Kahn, M. (2001). The development of high-sensitivity, low-noise accelerometers utilizing single crystal piezoelectric materials. Sensors and Actuators A: Physical, 90 (1-2), 125-131. DOI: https://doi.org/10.1016/S0924-4247(01)00449-6
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Copyright (c) 2022 Estevão Vicente Cavalcante Monteiro de Paula, Claudete Catanhede do Nascimento, Juscelino Machado Portela, David Nogueira da Silva, Roberto Daniel de Araújo
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Accepted 2022-09-29
Published 2022-10-01
