کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
510735 865786 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 87, Issues 21–22, November 2009, Pages 1360–1365
نویسندگان
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