Journals / Konya Journal of Engineering Sciences / 2017 / Cilt: 5 Sayı: 3

ANALITICAL AND ARTIFICIAL NEURAL NETWORK MODELS OF DISCHARGE VALUE PASSING OVER OGEE SPILLWAY

Ogee Tipi Dolusavakların Üzerinden Geçen Akım Verilerinin Analitik ve Yapay Sinir Ağları Modelleri

Pages
370–376
Publication Date
2017-09-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As the result, it was seen that ANN model produced very successful output.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, analytical and Artificial Neural Network (ANN) models’ output of the discharge value, passing over Ogee Spillways, were compared.
📊
Key Findings & Data:For this aim, a flume having 7.5 cm width, 15 cm depth and 5 m length, was used in the laboratory.
💡
Conclusion & Impact:As the result, it was seen that ANN model produced very successful output.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Akım · Ogee dolusavak · Yapay sinir ağları

Abstract

In this study, analytical and Artificial Neural Network (ANN) models’ output of the discharge value, passing over Ogee Spillways, were compared. For this aim, a flume having 7.5 cm width, 15 cm depth and 5 m length, was used in the laboratory. Discharge values above the spillway were measured for different heads. Discharge values were also computed by the formula for the measured heads. An ANN model was set by using the experimental results in order to estimate the discharge value. So, the performance of the ANN model was investigated. As the result, it was seen that ANN model produced very successful output.

Özet

Bu çalışmada Ogee tipi bağlamalar üzerinden geçen debilerin analitik ve yapay sinir ağları model sonuçları karşılaştırılmıştır. Bunun için 7.5 cm genişliğinde, 15 cm yüksekliğinde ve 5 m uzunluğunda bir açık kanal düzeneği kullanılmıştır. Kullanılan düzenekte farklı savak yükleri geçmesi durumunda debiler ölçülmüş ve bu debiler formül kullanılarak da hesaplanmıştır. Ayrıca deneyden elde edilen sonuçlar ile yapay sinir ağları modeli kurularak debiler tahmin edilmiş ve modelin performansı araştırılmıştır. Elde edilen sonuçlara göre yapay sinir ağları modeli oldukça tatmin edici sonuçlar vermiştir.

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Cite This Article

YARAR, A. (2017). ANALITICAL AND ARTIFICIAL NEURAL NETWORK MODELS OF DISCHARGE VALUE PASSING OVER OGEE SPILLWAY. Konya Journal of Engineering Sciences, Cilt: 5 Sayı: 3, 370–376. https://ajindex.com/articles/909369

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References (9)

  1. Azamathulla, H., Md., Deo, M. C., Deolalikar, P. B., 2008, “Alternative Neural Networks to Estimate the Scour Below Spillways”, Advances in Engineering Software, Vol. 39, pp. 689-698.
  2. Chitsazan, N., Nadiri, A. A., Tsai, F. T. C., 2015, “Prediction and Structural Uncertainty Analyses of Artificial Neural Networks Using Hierarchical Bayesian Model Averaging”, Journal of Hydrology, Vol. 528, pp. 52–62.
  3. Cybenko, G., 1989, “Approximations by Superpositions of A Sigmoidal Function”, Mathematics of Control, Signals, and Systems, Vol. 2 (4), pp. 303–314.
  4. Dorum, A., Yarar, A., Sevimli, M. F., Onüçyildiz, M., 2010, “Modelling The Rainfall–Runoff Data of Susurluk Basin”, Expert Systems with Applications, Vol. 37 (9), pp. 6587–6593.
  5. Salmasi, F., Özger, M., 2014, “Neuro-Fuzzy Approach for Estimating Energy Dissipation in Skimming Flow over Stepped Spillways”, Arabian Journal for Science & Engineering, Vol. 39, pp. 6099–6108.
  6. Sanchez, J. M., Pomares, J., Dolz, J., “Pressure Field in Skimming Flow over A Stepped Spillway”, In: Proceedings, International Workshop on Hydraulics of Stepped Spillways, Zurich, Switzerland, 2000.
  7. Savage, B. M., Johnson, M. C., 2001, “Flow over Ogee Spillway: Physical and Numerical Model Case Study”, Journal of Hydraulic Engineering, ASCE, Vol. 127(8), pp. 640–649.
  8. Song, C., Zhou, F., 1999, “Simulation of Free Surface Flow over Spillway”, Journal of Hydraulic Engineering, ASCE, Vol. 125(9), pp. 959–967. USBR, 1987,
  9. Design of Small Dams, Third Edition, Washington: Water Resources Technical Publication.