4.7 Article

MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing

期刊

COMPUTERS & STRUCTURES
卷 87, 期 21-22, 页码 1360-1365

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2009.08.010

关键词

Abies pinsapo; ANN; MOE; Artificial neural network; Ultrasound

资金

  1. Spanish Ministry of Education and Science
  2. European Regional Development Fund (ERDF)

向作者/读者索取更多资源

Determining the modulus of elasticity of wood by applying an artificial neural network using the physical properties and non-destructive testing can be a useful method in assessments of the timber structure in old constructions. The modulus of elasticity of Abies pinsapo Boiss. timber was predicted in this study through the parameters of density, width, thickness, moisture content, ultrasonic wave propagation velocity and visual grading of the test pieces. A feedforward multilayer perceptron network was designed for this purpose, achieving 75.0% success in the testing or unknown group. (C) 2009 Elsevier Ltd. All rights reserved.

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