کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11000918 1428213 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A non-destructive method of the evaluation of the moisture in saline brick walls using artificial neural networks
ترجمه فارسی عنوان
یک روش غیر مخرب ارزیابی رطوبت در دیوارهای آجری شور با استفاده از شبکه های عصبی مصنوعی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
The article presents a method of non-destructive evaluation of the moisture content in saline brick walls. This method is based on the use of artificial neural networks (ANNs) that are trained and tested on a database that was built for this purpose. The database was created based on laboratory tests of sample brick walls. The database contains over 1100 sets of results. Each set consists of two parameters that describe the dampness of the tested sample walls, which were determined using dielectric and microwave methods, and also three parameters that describe the concentration of salts in these walls. The ANN with back propagation error and the Broyden-Fletcher-Goldfarb-Shanno learning algorithm (BFGS) was used. It was shown that the proposed method of assessment allows reliable results to be obtained, which was confirmed by the high values of the linear correlation coefficient for learning, testing and experimental validation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Archives of Civil and Mechanical Engineering - Volume 18, Issue 4, September 2018, Pages 1729-1742
نویسندگان
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