Identifying strength of boards using mechanical modeling and a Weibull-based feature

TitleIdentifying strength of boards using mechanical modeling and a Weibull-based feature
Publication TypeConference Paper
Year of Publication2003
AuthorsSaravi, A. A., P. D. Lawrence, and F. Lam
Conference NameControl Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Pagination54 - 59 vol.1
Date Publishedjun.
Keywordscoefficient of determination, destructive strength testing, feature extracting processor, feature extraction, finite element analysis, finite element methods, intelligent mechanics, linear transformation, lumber grading system, lumber physical model, lumber production, mechanical modeling, mechanical strength, nondestructive strength estimation, nondestructive testing, strength predicting features, stress analysis, stress fields, timber, Weibull based feature, Weibull distribution, X-ray imaging

The most accurate way of identifying the strength of lumber requires destructive testing which is clearly not useful for production of lumber. An intelligent mechanics-based lumber grading system was developed to provide a better estimation of the strength of a board nondestructively. This system processed X-ray-extracted geometric features (of 1080 boards that eventually underwent destructive strength testing) by using physical model of lumber based on finite element methods (FEM) to generate associated stress fields. The stress fields were then fed to a feature-extracting-processor which produced seven strength predicting features. The best strength predicting features were determined from the coefficient of determination (r2) between the features and actual strengths of the boards. A coefficient of determination of 0.4732 was achieved by using a Weibul-based feature and using a linear transformation of the same feature to predict the estimated strength, respectively.


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