• Title of article

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

  • Author/Authors

    Luis Garc?a Esteban، نويسنده , , Francisco Garc?a Fern?ndez، نويسنده , , Paloma de Palacios، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    6
  • From page
    1360
  • To page
    1365
  • Abstract
    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.
  • Keywords
    Abies pinsapo , ANN , Ultrasound , Artificial neural network , MOE
  • Journal title
    Computers and Structures
  • Serial Year
    2009
  • Journal title
    Computers and Structures
  • Record number

    1210527