Estimation the Scour Depth Downstream of Block Ramps Using ANN and ANFIS

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,146

فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICCAU01_2978

تاریخ نمایه سازی: 29 تیر 1393

چکیده مقاله:

Local scouring means removing bed rivers that is caused by changing the flow pattern due to the existence of hydraulic structures. The downstream of transverse structures (such as check dams, rock chutes and block ramps) are usually located in stilling basins that are menaced by scouring. Block ramps are restoration structures whose ramps are armored by blocks to rehabilitate bed rivers. River environment issues particularly fish passing can be preserved using block ramps. Moreover large amounts of energy are dissipated due to block ramps head difference. Therefore block ramps have been used rather drops and sills recently. In addition the hydraulic jump which takes place in the downstream of block ramps can be an increasable factor of scour depth. In this study mean scouring depth in stilling basin downstream of block ramps using ANN and ANFIS are investigated. Consequently the soft computational methods are compared with experimental and statistical methods which were carried out by Pagliara and Palermo. High correlation coefficient and the small amount of error evaluation criteria show better agreement of ANN and ANFIS methods.

کلیدواژه ها:

نویسندگان

Ali. Mehmandoostkotlar

MSc student in civil engineering, Daneshgah St., Shahid Nikbakht Engineering Faculty, Department of Civil Engineering, Graduate student office, Zahedan, Iran,

Mehdi. Azhdary Moghadam

Associate professor, Department of Civil Engineering, Sistan and Baluchestan University, Zahedan, Iran

Mohammad Mahdi Houshmand

MSc student in civil engineering, Daneshgah St., Shahid Nikbakht Engineering Faculty, Department of Civil Engineering, Graduate student office, Zahedan, Iran

Farid Miar Naeimi

MSc student in civil engineering, Daneshgah St., Shahid Nikbakht Engineering Faculty, Department of Civil Engineering, Graduate student office, Zahedan, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Pagliara S, Palermo M. Effect of stilling basin geometry on ...
  • Pagliara S, et al. Hydraulic jump on rough bed of ...
  • Tamagni S, et al. Design of unstructured block ramps: A ...
  • Oertel M, Schlenkhoff A Crossbar Block Ramps: Flow Regimes, Energy ...
  • Tamagni S, et al. Stability and ecological functionality of unstructured ...
  • _ Pagliara S, et al. Expanding Pools Morphology in Live-Bed ...
  • Pagliara S, et al. Turbulence, aeration and bubble features of ...
  • Yu G.A, et al. Restoration of an incised mountain stream ...
  • Sindelar C, Knoblauch H, et al. Design of a Meandering ...
  • Brinkmeier B, Aufleger M. Bed Load Transport Processes at River ...
  • Pagliara S, et al. Sediment Transport _ Block Ramp: Filling ...
  • Pagliara S, Palermo M. Energy dissipation in the stilling basin ...
  • Ahmad Z, et al. Energy Dissipation _ Block Ramps with ...
  • Pagliara S, Palermo M. Scour control downstream of block ramps ...
  • Pagliara S, et al. Sediment Transport _ Block Ramp: Filling ...
  • International Conference on Civil Engineering Architecture _ Urban Sustainable Development ...
  • Pagliara S, Palermo M. Scour Control Downstream of Block Ramps. ...
  • Pagliara S. Inluence of Sediment Gradation on Scour Downstream of ...
  • Pagliara S, Hager W. H. Scour Control Downstream of Block ...
  • Sharifi S. Application Of Evolutionary Computation To Open Channel Flow ...
  • Litta A. J, et al. Artificial Neural Network Model for ...
  • Jang .J.s.r Neuro-fuzzy and soft computing _ Computer Science Departemant, ...
  • Altun H. Treatment of multi -dimensional data to enhance neural ...
  • Jeng D.S, et al. Neural Network assessment for scour depth ...
  • Jabbari E, Talebi O. Using Artificial Neural Networks for estimation ...
  • Jang j.s.r. ANFIS : Adap tive -Network-b ased Fuzzy Inference ...
  • Rutkowski L. Flexible Neuro-Fuzzy Systems Structures: Learning and performance Evalution, ...
  • Sugeno M. Industrial Applications of Fuzzy Control, Elsiver Science Pub, ...
  • نمایش کامل مراجع