Cavitation Damage Prediction on Dam Spillways using Fuzzy-KNN Modeling

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FADAEI KERMANI E.; BARANI G.A.; Ghaeini Hessaroeyeh M.

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Journal Paper

Paper Information

Journal: JOURNAL OF APPLIED FLUID MECHANICS (JAFM) Year:2018 | Volume:11 | Issue:2 Page(s): 323-329

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Information Journal Paper

Title

Cavitation Damage Prediction on Dam Spillways using Fuzzy-KNN Modeling

Author(s)

FADAEI KERMANI E. | BARANI G.A. | Ghaeini Hessaroeyeh M. | Issue Writer Certificate

Keywords

Cavitation damage

Spillways

Fuzzy k-nearest neighbor model

Damage intensity

Abstract

The present paper deals with a numerical method for prediction of cavitation damage level and location on dam spillways. A method was applied to predict the intensity of cavitation damage to spillways, using the fuzzy k-nearest neighbor algorithm. Five levels of damage intensity were considered to predict cavitation damage in the spillway of Karun-1 Dam in Iran. According to the results, the proposed model could properly predict the location and intensity of damage in comparison with the actual damage reports of past floods. According to the Pearson's correlation coefficient, mean absolute error, coefficient of residual mass, and normalized root mean square error, the fuzzy k-nearest neighbor model is efficient and suitable.

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APA: Copy

FADAEI KERMANI, E., BARANI, G.A., & Ghaeini Hessaroeyeh, M.. (2018). Cavitation Damage Prediction on Dam Spillways using Fuzzy-KNN Modeling. JOURNAL OF APPLIED FLUID MECHANICS (JAFM), 11(2), 323-329. SID. https://sid.ir/paper/308128/en

Vancouver: Copy

FADAEI KERMANI E., BARANI G.A., Ghaeini Hessaroeyeh M.. Cavitation Damage Prediction on Dam Spillways using Fuzzy-KNN Modeling. JOURNAL OF APPLIED FLUID MECHANICS (JAFM)[Internet]. 2018;11(2):323-329. Available from: https://sid.ir/paper/308128/en

IEEE: Copy

E. FADAEI KERMANI, G.A. BARANI, and M. Ghaeini Hessaroeyeh, “Cavitation Damage Prediction on Dam Spillways using Fuzzy-KNN Modeling,” JOURNAL OF APPLIED FLUID MECHANICS (JAFM), vol. 11, no. 2, pp. 323–329, 2018, [Online]. Available: https://sid.ir/paper/308128/en

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