PREDICTION OF SCOUR DEPTH AROUND INCLINED BRIDGE PIERS GROUP USING OPTIMIZED ANFIS SYSTEM PARAMETERS WITH GA

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ESMAEILI VARAKI M.; KANANI A.; NAVABIAN M.; ASHRAF S.H.

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Journal: Journal of Water and Soil Conservation Year:2016 | Volume:22 | Issue:6 Page(s): 283-294

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Title

PREDICTION OF SCOUR DEPTH AROUND INCLINED BRIDGE PIERS GROUP USING OPTIMIZED ANFIS SYSTEM PARAMETERS WITH GA

Author(s)

ESMAEILI VARAKI M. | KANANI A. | NAVABIAN M. | ASHRAF S.H. | Issue Writer Certificate

Keywords

SCOUR DEPTHQ1

INCLINED PIER GROUPQ2

ANFISQ1

GENETIC ALGORITHMQ2

OPTIMIZATIONQ2

Abstract

Background and Objectives: The main cause of collapse of bridges is scour around bridge piers. Therefore, knowledge about the effective parameters and estimation of maximum SCOUR DEPTH has an important role on the safe design of bridges in rivers. The aim of this research is evaluation of optimized ANFIS parameters with GA on prediction of maximum SCOUR DEPTH and comparison with all FIS generator of Matlab Toolbox ANFIS.Materials and Methods: To evaluate prediction of SCOUR DEPTH around inclined bridge piers located on rectangular foundation using optimized ANFIS parameters with GA and Matlab ANFIS, 48 sets of experimental data of scour around incline bridge piers were used. To compare the performance of results, R2 and RMSE were utilized.Results: Analysis of results showed that GENFIS1 generator of ANFIS toolbox in Matlab had the best performance, which could predict maximum scour with R2 and RMSE, 0.976 and 0.053, respectively. Comparison of the predicted SCOUR DEPTHs indicated that OPTIMIZATION of ANFIS parameters had better desired parameters prediction with R2 and RMSE, 0.992 and 0.02537 in comparison of ANFIS toolbox in Matlab.Conclusion: Comparison of results indicated that both ANFIS toolbox in Matlab and optimized ANFIS could predict desired output, but the study are encouraging and suggest that an optimized adaptive neuro-fuzzy approach is a powerful tool to model SCOUR DEPTH around inclined bridge piers group which could reduce RMSE from 0.053 to 0.0254.

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APA: Copy

ESMAEILI VARAKI, M., KANANI, A., NAVABIAN, M., & ASHRAF, S.H.. (2016). PREDICTION OF SCOUR DEPTH AROUND INCLINED BRIDGE PIERS GROUP USING OPTIMIZED ANFIS SYSTEM PARAMETERS WITH GA. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 22(6), 283-294. SID. https://sid.ir/paper/156356/en

Vancouver: Copy

ESMAEILI VARAKI M., KANANI A., NAVABIAN M., ASHRAF S.H.. PREDICTION OF SCOUR DEPTH AROUND INCLINED BRIDGE PIERS GROUP USING OPTIMIZED ANFIS SYSTEM PARAMETERS WITH GA. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2016;22(6):283-294. Available from: https://sid.ir/paper/156356/en

IEEE: Copy

M. ESMAEILI VARAKI, A. KANANI, M. NAVABIAN, and S.H. ASHRAF, “PREDICTION OF SCOUR DEPTH AROUND INCLINED BRIDGE PIERS GROUP USING OPTIMIZED ANFIS SYSTEM PARAMETERS WITH GA,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 22, no. 6, pp. 283–294, 2016, [Online]. Available: https://sid.ir/paper/156356/en

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