کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5001863 1461085 2017 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines
ترجمه فارسی عنوان
تجزیه و تحلیل حساسیت عوامل موثر بر ظرفیت تخلیه غارهای جانبی در کانال های تراپزی با استفاده از دستگاه های یادگیری افراطی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Side weirs are installed on the side walls of main channels to control and regulate flow. In this study, sensitivity analysis is planned using Extreme Learning Machines (ELM) to recognize the factors affecting the discharge coefficient in trapezoidal channels. A total of 31 models with 1 to 5 parameters are developed. The input parameters are ratio of side weir length to trapezoidal channel bottom width (L/b), Froude number (Fr), ratio of side weir length to flow depth upstream of the side weir (L/y1), ratio of flow depth upstream of the side weir to the main channel bottom width (y1/b) and trapezoid channel side wall slope (m). Among the models with one input parameter, the model including Froude number modeled the discharge coefficient more accurately (MAPE=4.118, R2=0.835). Between models with two input parameters, the model using Fr and L/b produced MAPE and R2 values of 2.607 and 0.913 respectively. Moreover, among the models with four input parameters, the model containing Fr, L/b, L/y1 and y1/b was the most accurate (MAPE=2.916, R2=0.925).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Flow Measurement and Instrumentation - Volume 54, April 2017, Pages 216-223
نویسندگان
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