Implementation of a mechanics-based system for estimating the strength of a board

TitleImplementation of a mechanics-based system for estimating the strength of a board
Publication TypeConference Paper
Year of Publication2002
AuthorsSaravi, A. A., P. D. Lawrence, and F. Lam
Conference NameInstrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
Pagination1179 - 1182 vol.2
Keywordsboard strength, coefficient of determination, feature extraction, finite element analysis, finite element method, intelligent mechanics, lumber grading system, maximum stress concentration, mechanical strength, nondestructive estimation, nondestructive testing, stress field, wood processing, X-ray imaging

The most accurate way of determining the strength of lumber involves destructive testing. An intelligent mechanics-based lumber grading system was developed to provide a better non-destructive estimation of the strength of a board. This system processed the X-ray-extracted geometric features (of 60 boards that eventually underwent destructive strength testing) by using Finite Element Methods (FEM) to generate associated stress fields. The stress fields were then fed to a feature-extracting-processor which produced several strength predicting features. The best strength predicting features are determined by calculating the coefficient of determination (r2) between the predicted and the actual strength of the board. Twenty six strength predicting features were generated by the processor. The estimated strength from each feature and from the combination of several features, was calculated and compared with the actual strength of the board. A coefficient of determination (r2) of 0.43 was achieved by using the longitudinal (to the grain angle) maximum stress concentration (MSC).


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