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Title: Comparison of nondestructive testing methods for evaluating No. 2 Southern Pine lumber: Part B, modulus of rupture

Source: Wood and Fiber Science. 49(2): 134-145

Author(s)Yang, B.Z.; Seale, R.D.; Shmulsky, R.; Dahlen, J.; Wang, X.

Publication Year: 2017  View PDF »

Category: Journal Articles
Associated Research Project(s):   FPL-4714-1B

Abstract: The identification of strength-reducing characteristics that impact modulus of rupture (MOR) is a key differentiation between lumber grades. Because global design values for MOR are at the fifth percentile level and in-grade lumber can be highly variable, it is important that nondestructive evaluation technology be used to better discern the potential wood strength. In that manner, higher-performance pieces could potentially be identified and their value captured accordingly. In this study, laboratory tests of three nondestructive testing (NDT) technologies and destructive four-point static bending were applied to 343 pieces of visually graded No. 2 southern pine lumber in the 38 X 140 mm2 (n=86), 38 X 186 mm2 (n=112), 38 X 236 mm2 (n=91), and 38 X 287 mm2 (n=54) sizes collected across the southeast region of the United States. The NDT tests included continuous lumber test in continuous proof bending (MetriguardModel 7200 High Capacity Lumber Tester), transverse vibration (Metriguard E-Computer), and two longitudinal stress wave tools (Falcon A-Grader and Fiber-gen Director HM200). Following nondestructive tests, the specimens were destructively tested in four-point static bending. Single-predictor linear correlations were observed between static bending MOE and MOR value; and NDT outputs and bending MOR value. The regression results showed that the average NDT outputs (r2 = 0.23-0.28) had lower performance than static bending MOE (r2 = 0.39), for predicting the bending MOR of sawn lumber.

Keywords: Nondestructive evaluation; transverse vibration evaluation; longitudinal stress wave evaluation; high capacity lumber tester; modulus of rupture; lumber grades

Publication Review Process: Formally Refereed

File size: 872 kb(s)

Date posted: 06/21/2017

This publication is also viewable on Treesearch:  view
RITS Product ID: 84918
Current FPL Scientist associated with this product
Wang, Xiping
Research Forest Products Technologist

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