چکیده مقاله
It is already found that channel cross section shape impacts on sediment transport condition in open channels To this end, this study is aimed to generalize the incipient deposition models through incorporating a cross section shape factor into the models Multivariate Adaptive Regression Splines MARS technique is used for the modelling and results are compared with the developed model based on conventional Multi Non Linear Regression MNLR method Comparison of developed models in this study with those existing in the literature indicates that cross section specific models may have poor performances on channels with variety of cross sections MARS and MNLR models as general incipient deposition models outperform cross section specific models which can be linked to the incorporating of shape factor as input of the models Explicit equations are suggested which can be used as practical tools for stormwater urban derange channel design
کلیدواژهها
نویسندگان
فاطمه مقدم زرندی
کارشناس ارشد، جغرافیا و برنامه ریزی شهری، آمایش شهری، دانشگاه آزاد اسلامی یادگار امام (شهر ری)
Jafar Sadegh Safari
Department of Civil Engineering, Yaşar University, Izmir, Turkey
شیوه ارجاع
Safari, Jafar Sadegh,1400,Multivariate Adaptive Regression Splines model for sediment incipient deposition in urban drainage channels,10th International Conference on Mechanics, Manufacturing, Industries and Civil Engineering
ارائهشده در
مجموعه مقالات دهمین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران26 آذر 1400