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Descripción
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| 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. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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COMPUTERS AND STRUCTURES |
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ISSN
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0045-7949 |
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Factor de impacto JCR
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1,223 |
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Información de impacto
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Volumen
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87 |
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DOI
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10.1016/j.compstruc.2009.08.010 |
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Número de revista
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21 |
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Desde la página
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1360 |
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Hasta la página
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1365 |
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Mes
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NOVIEMBRE |
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Ranking
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