Ebrahim Jabbari
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ebrahim Jabbari has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Mehrshad Samadi
Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
7 shared publications - Hamed Sarkardeh
Department of Civil Engineering, Hakim Sabzevari University, Sabzevar, Iran
5 shared publications - Bahareh Kamranzad
Kyoto University
1 shared publication - Felix Jose
Florida Gulf Coast University
1 shared publication Hamed Sarkardeh
Department of Civil Engineering, Faculty of Engineering, Hakim Sabzevari University, Sabzevar, Iran
1 shared publication- Hazi Mohammad Azamathulla
Department of Civil and Environmental Engineering, The Faculty of Engineering, The University of West Indies, St. Augustine 32080, Trinidad and Tobago
1 shared publication
Latest Publications
- 7 July 2026
- Published by Springer Nature in International Journal of Civil Engineering
- Vol. 24 (12) , 1785-1808
Assessment of a Single-Phase RANS Hydrodynamic Model for Simulating Water Injection Dredging
- 7 July 2026
- Published by Springer Nature in International Journal of Civil Engineering
- Vol. 24 (12) , 1785-1808
Assessment of a Single-Phase RANS Hydrodynamic Model for Simulating Water Injection Dredging
- 1 April 2024
- Published by Coastal Education and Research Foundation in Journal of Coastal Research
- Vol. 64 (sp1) , 1175-1178
A New Approach for Analyses of Groundwater Flow Response to Tidal Fluctuation in a Coastal Leaky Confined Aquifer
Saeedpanah, I., Jabbari, E. and Shayanfar, M A., 2011. A new approach for analyses of groundwater flow response to tidal fluctuation in a coastal leaky confined aquifer. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), 1175 – 1178. Szczecin, Poland, ISSN 0749-0208 A new approach is introduced to analyze the influence of leakage to tidal response in a confined leaky aquifer. The present approach is a truly meshless method based only on a number of randomly located nodes. In this new approach neither global background integration mesh nor domain integration is needed. The local radial point interpolation meshless method (LRPIM) is developed for the solution of groundwater flow response to tidal fluctuation in coastal confined leaky aquifer, based on a local weighted residual method with the Heaviside step function as the weighting function over a local subdomain. Shape functions have been constructed by the radial point interpolation method (RPIM). Shape functions so formulated posses the delta function property. The time derivatives are approximated by the Euler scheme. The novelty of the paper is the use of a Local Heaviside weight function in the LRPIM which does not need local domain integration and only integrations on the boundary of the local domains are needed. Gaussian-quadrature formulation was used to calculate the numerical integration for local weak form. Numerical results are presented and compared with the results of analytical solution. It is observed that the obtained results agreed very well with the results of analytical solution. The results show that the use of a Local Heaviside weight function in the LRPIM is highly accurate and possesses no numerical difficulties.
- 1 April 2024
- Published by Coastal Education and Research Foundation in Journal of Coastal Research
- Vol. 64 (sp1) , 1175-1178
A New Approach for Analyses of Groundwater Flow Response to Tidal Fluctuation in a Coastal Leaky Confined Aquifer
Saeedpanah, I., Jabbari, E. and Shayanfar, M A., 2011. A new approach for analyses of groundwater flow response to tidal fluctuation in a coastal leaky confined aquifer. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), 1175 – 1178. Szczecin, Poland, ISSN 0749-0208 A new approach is introduced to analyze the influence of leakage to tidal response in a confined leaky aquifer. The present approach is a truly meshless method based only on a number of randomly located nodes. In this new approach neither global background integration mesh nor domain integration is needed. The local radial point interpolation meshless method (LRPIM) is developed for the solution of groundwater flow response to tidal fluctuation in coastal confined leaky aquifer, based on a local weighted residual method with the Heaviside step function as the weighting function over a local subdomain. Shape functions have been constructed by the radial point interpolation method (RPIM). Shape functions so formulated posses the delta function property. The time derivatives are approximated by the Euler scheme. The novelty of the paper is the use of a Local Heaviside weight function in the LRPIM which does not need local domain integration and only integrations on the boundary of the local domains are needed. Gaussian-quadrature formulation was used to calculate the numerical integration for local weak form. Numerical results are presented and compared with the results of analytical solution. It is observed that the obtained results agreed very well with the results of analytical solution. The results show that the use of a Local Heaviside weight function in the LRPIM is highly accurate and possesses no numerical difficulties.
- 25 November 2020
- Published by Springer Nature in Soft Computing
- Vol. 25 (5) , 3873-3888
Prediction of the dynamic pressure distribution in hydraulic structures using soft computing methods
- 25 November 2020
- Published by Springer Nature in Soft Computing
- Vol. 25 (5) , 3873-3888
Prediction of the dynamic pressure distribution in hydraulic structures using soft computing methods
- 15 April 2020
- Published by Springer Nature in Stochastic Environmental Research and Risk Assessment
- Vol. 34 (5) , 691-707
Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on sloping channels
- 15 April 2020
- Published by Springer Nature in Stochastic Environmental Research and Risk Assessment
- Vol. 34 (5) , 691-707
Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on sloping channels
- 3 March 2020
- Published by Taylor & Francis in Marine Georesources & Geotechnology
- Vol. 39 (5) , 577-588
Prediction of current-induced scour depth around pile groups using MARS, CART, and ANN approaches
Scour around piles is considered as one of the most important phenomena which could undermine the stability of piles. Data-driven methods are now being used more and more to predict complex phenomena such as scour around of pile groups. In this study, three data-driven methods including multivariate adaptive regression spline (MARS), classification and regression tree (CART) and artificial neural network (ANN), are used for determining current-induced scour depth around pile groups in clear water conditions. Obtained results are compared with those of M5 Model Tree (M5MT) which shows the higher precision of them. The calculated statistical indices revealed the higher accuracy of MARS in prediction of scour depth (correlation coefficient [CC] = 0.872 and root mean square error [RMSE] = 0.233) in comparison with ANN (CC = 0.843 and RMSE = 0.256), CART (CC = 0.734 and RMSE = 0.323) and M5MT (CC = 0.761 and RMSE = 0.404) for testing data. Furthermore, the developed discrepancy ratio (DDR) index confirms the outperformance of MARS in comparison with other approaches for prediction of scour depth. Finally, the parametric investigations conducted through MARS show that the parameter of has the highest effect on the scour depth. This finding is in agreement with the results of CART.- 3 March 2020
- Published by Taylor & Francis in Marine Georesources & Geotechnology
- Vol. 39 (5) , 577-588
Prediction of current-induced scour depth around pile groups using MARS, CART, and ANN approaches
Scour around piles is considered as one of the most important phenomena which could undermine the stability of piles. Data-driven methods are now being used more and more to predict complex phenomena such as scour around of pile groups. In this study, three data-driven methods including multivariate adaptive regression spline (MARS), classification and regression tree (CART) and artificial neural network (ANN), are used for determining current-induced scour depth around pile groups in clear water conditions. Obtained results are compared with those of M5 Model Tree (M5MT) which shows the higher precision of them. The calculated statistical indices revealed the higher accuracy of MARS in prediction of scour depth (correlation coefficient [CC] = 0.872 and root mean square error [RMSE] = 0.233) in comparison with ANN (CC = 0.843 and RMSE = 0.256), CART (CC = 0.734 and RMSE = 0.323) and M5MT (CC = 0.761 and RMSE = 0.404) for testing data. Furthermore, the developed discrepancy ratio (DDR) index confirms the outperformance of MARS in comparison with other approaches for prediction of scour depth. Finally, the parametric investigations conducted through MARS show that the parameter of has the highest effect on the scour depth. This finding is in agreement with the results of CART.- 13 October 2016
- Published by Springer Nature in International Journal of Civil Engineering
- Vol. 15 (1) , 77-87
Numerical Simulation of Turbulent Flows Using a Least Squares Based Meshless Method
- 13 October 2016
- Published by Springer Nature in International Journal of Civil Engineering
- Vol. 15 (1) , 77-87
Numerical Simulation of Turbulent Flows Using a Least Squares Based Meshless Method
- 2 January 2013
- Published by Coastal Education and Research Foundation in Journal of Coastal Research
- Vol. 65, 237-242
Wave hindcasting in Anzali, Caspian Sea: a hybrid approach
Hadadpour, S., Moshfeghi, H., Jabbari, E. and Kamranzad, B., 2013. Wave hindcasting in Anzali, Caspian Sea: a hybrid approach. Wave characteristics are necessary for many coastal operations and marine structures design. Different methods such as empirical methods, numerical models and soft computing have been developed for this purpose. In this study, one of the well-known numerical models, SWAN model, has been used for the prediction of wave parameters in Anzali, Caspian Sea. Wind field is one of the most important factors in the wave modeling. In this study, QuikSCAT wind field was investigated for wave hindcasting in Anzali using SWAN model. For this purpose, the gaps in the QuikSCAT measurements data were filled using spatial interpolations. Furthermore, the Anzali buoy recorded data were used to calibrate and validate the model. In order to select the appropriate intervals of calibration and verification, the statistical similarities between corresponding data in both periods were considered...
- 2 January 2013
- Published by Coastal Education and Research Foundation in Journal of Coastal Research
- Vol. 65, 237-242
Wave hindcasting in Anzali, Caspian Sea: a hybrid approach
Hadadpour, S., Moshfeghi, H., Jabbari, E. and Kamranzad, B., 2013. Wave hindcasting in Anzali, Caspian Sea: a hybrid approach. Wave characteristics are necessary for many coastal operations and marine structures design. Different methods such as empirical methods, numerical models and soft computing have been developed for this purpose. In this study, one of the well-known numerical models, SWAN model, has been used for the prediction of wave parameters in Anzali, Caspian Sea. Wind field is one of the most important factors in the wave modeling. In this study, QuikSCAT wind field was investigated for wave hindcasting in Anzali using SWAN model. For this purpose, the gaps in the QuikSCAT measurements data were filled using spatial interpolations. Furthermore, the Anzali buoy recorded data were used to calibrate and validate the model. In order to select the appropriate intervals of calibration and verification, the statistical similarities between corresponding data in both periods were considered...