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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
대한기계학회 Journal of Mechanical Science and Technology Journal of Mechanical Science and Technology Vol.20 No.10
발행연도
2006.10
수록면
1,576 - 1,589 (14page)

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초록· 키워드

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Most of surface water ways in Egypt suffer from the infestation of aquatic weeds especially submerged ones which cause lots of problems for the open channels and the water structures such as increasing water losses, obstructing the water flow, and reducing the efficiency of the water structures. Accurate simulation of the water flow behavior in such channels is very essential for water distribution decision makers. Artificial Neural Network (ANN) has been widely utilized in the past ten years in civil engineering applications for the simulation and prediction of the different physical phenomena and has proven its capabilities in the different fields. The present study aims towards introducing the use of ANN technique to model and predict the impact of the existence of submerged aquatic weeds on the hydraulic performance of open channels. Specifically the current paper investigates utilizing the ANN technique in developing a simulation and prediction model for the flow behavior in an open channel experiment that simulates the existence of submerged weeds as branched flexible elements. This experiment was considered as an example for implementing the same methodology and technique in a real open channel system. The results of current manuscript showed that ANN technique was very successful in simulating the flow behavior of the pre-mentioned open channel experiment with the existence of the submerged weeds. In addition, the developed ANN models were capable of predicting the open channel flow behavior in all the submerged weeds' cases that were considered in the ANN development process.
#Artificial Neural Network #Open Channel Hydraulics Modeling #Open Channel Infested by Submerged Weeds

목차

영어 초록
1. Introduction
2. Problem Description
3. Neural Network Structure
4. Neural Network Operation
5. Neural Network Training
6. Simulation Cases
7. Neural Network Design
8. Results and Discussion
9. Summary
10. Conclusion
References

참고문헌 (32)

참고문헌 신청
Abdeen, M. A. M., 2001, "Neural Network Model for Predicting Flow Characteristics in Irregular Open Channels," Scientific Journal, Faculty of Engineering-Alexandria University, Vol.40, No.4, pp.539~546. google schola Abdel Sadek, F. I., Zein, S. A. and Ashor, A. A., 1982, "Effect of weeds connection and Height on Retardant to Flow in Open Channels," Bulletin of Faculty of Engineering, Assiut University, Vol.10, Part 2, pp.45~60. google schola Abdin, A. E. and Abdeen, M. A. M., 2005, "Predieting the Impact of Subsurface heterogeneous Hydraulic Conductivity on the Stochastic Behavior of Well Draw down in a Confined Aquifer Using Artificial Neural Networks," KSME International Journal, Vol.19, No google schola Chandramouli, V. and Raman, H., 2001, "Multireservoir Modeling With Dynamic Programming and Neural Networks," Journal of Water Resources Planning and Management, Vol.127, pp.89~98. google schola El-Hakim, O. and Salama, M. M., 1992, "Velocity Distribution Inside and Above Branche Flexible Roughness," Journal of Irrigation and Drainage Engineering, ASCE, Vol.118, No.6, pp.914~927. google schola

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