کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1758683 1523208 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of ultrasonic pulse velocity for enhanced peat bricks using adaptive neuro-fuzzy methodology
ترجمه فارسی عنوان
پیش بینی سرعت پالس اولتراسونیک برای افزایش آجرهای ذغال سنگ با استفاده از روش تطبیقی ​​عصبی-فازی
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
چکیده انگلیسی


• Ultrasonic pulse velocity prediction based on series of pulse velocity tests.
• Various mixtures of cement content and peat content for different curing period.
• Simulates the ultrasonic pulse velocity with adaptive neuro-fuzzy inference system.
• Adaptive neuro fuzzy application.

Ultrasonic pulse velocity is affected by defects in material structure. This study applied soft computing techniques to predict the ultrasonic pulse velocity for various peats and cement content mixtures for several curing periods. First, this investigation constructed a process to simulate the ultrasonic pulse velocity with adaptive neuro-fuzzy inference system. Then, an ANFIS network with neurons was developed. The input and output layers consisted of four and one neurons, respectively. The four inputs were cement, peat, sand content (%) and curing period (days). The simulation results showed efficient performance of the proposed system. The ANFIS and experimental results were compared through the coefficient of determination and root-mean-square error. In conclusion, use of ANFIS network enhances prediction and generation of strength. The simulation results confirmed the effectiveness of the suggested strategies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasonics - Volume 61, August 2015, Pages 103–113
نویسندگان
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