A. Akhtari

发表

An Implicit Approach for Numerical Simulation of Water Hammer Induced Pressure in a Straight Pipe

H. Bonakdari, A. Azimi, M. Bostan, 2021, Water Resources Management.

Experimental and Numerical Investigation of the Flow Hydraulic in Gradual Transition Open Channels

H. Bonakdari, A. Dehghani, A. Asnaashari, 2018, Water Resources.

Assessment of Turbulent Models in Computation of Strongly Curved Open Channel Flows

Omid Seyedashraf, A. Akhtari, 2015 .

Assessment of water depth change patterns in 120° sharp bend using numerical model

Hossein Bonakdari, Azadeh Gholami, Ali Akbar Akhtari, 2016 .

PREDICT FLOW VARIABLES IN CURVED CHANNEL

H. Bonakdari, A. Gholami, A. Akhtari, 2017 .

Novel approach for dam break flow modeling using computational intelligence

Mohammad Mehrabi, Ali Akbar Akhtari, Omid Seyedashraf, 2018 .

Application of computational intelligence methods for complex two-phase flow pattern recognition

Abbas Rezaei, Ali Akbar Akhtari, Omid Seyedashraf, 2018 .

Application of computational intelligence methods for complex two-phase flow pattern recognition

A. Rezaei, Omid Seyedashraf, A. Akhtari, 2018, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Dam break flow solution using artificial neural network

Abbas Rezaei, Ali Akbar Akhtari, Omid Seyedashraf, 2017 .

Numerical Investigation of Length and Thickness of Separation Zone after Sudden Change of Direction in Closed Sections

A. Akhtari, 2012 .

An efficient classified radial basis neural network for prediction of flow variables in sharp open-channel bends

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2019, Applied Water Science.

Optimal Design for Shock Damper with Genetic Algorithm to Control Water Hammer Effects in Complex Water Distribution Systems

Hossein Bonakdari, Ali Akbar Akhtari, Mohammad Bostan, 2019, Water Resources Management.

Investigation of a new shock damper system efficiency in reducing water hammer excess pressure due to the sudden closure of a control valve

H. Bonakdari, Bahram Gharabaghi, O. Noori, 2018, ISH Journal of Hydraulic Engineering.

Uncertainty analysis of shear stress estimation in circular channels by Tsallis entropy

Bahram Gharabaghi, Hossein Bonakdari, Zohreh Sheikh Khozani, 2018, Physica A: Statistical Mechanics and its Applications.

Simulation of open channel bend characteristics using computational fluid dynamics and artificial neural networks

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

An Experimental Study of Vanes’ Effects on Water Depth Changes in Strongly Curved Open-Channels

Ali Akbar Akhtari, Omid Seyedashraf, Omid Seyedashraf, 2017 .

Experimental investigation of screens as energy dissipaters in submerged hydraulic jump

Sina Sadeghfam, Ali Akbar Akhtari, Rasoul Daneshfaraz, 2014 .

Two-dimensional numerical modeling of dam-break flow using a new TVD finite-element scheme

Ali Akbar Akhtari, Omid Seyedashraf, Omid Seyedashraf, 2017 .

A COMBINATION OF COMPUTATIONAL FLUID DYNAMICS, ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTORS MACHINES MODEL TO PREDICT FLOW VARIABLES IN CURVED CHANNEL

H. Bonakdari, A. Gholami, A. A. Akhtari, 2017 .

Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend

Amir Hossein Zaji, Hossein Bonakdari, David G. Michelson, 2016, Appl. Soft Comput..

On the Effect of Block Roughness in Ogee Spillways with Flip Buckets

S. Di Francesco, A. Ghaderi, R. Daneshfaraz, 2020, Fluids.

Experimental and numerical investigation of the flow field in the gradual transition of rectangular to trapezoidal open channels

Hossein Bonakdari, Amir Ahmad Dehghani, Ali Akbar Akhtari, 2016 .

New radial basis function network method based on decision trees to predict flow variables in a curved channel

A. Zaji, H. Bonakdari, A. Gholami, 2018, Neural Computing and Applications.

A comparison of artificial intelligence-based classification techniques in predicting flow variables in sharp curved channels

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2019, Engineering with Computers.

An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2021, SAI.

Predicting the velocity field in a 90° Open channel bend using a gene expression programming model

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

Experimental investigations water surface characteristics in strongly-curved open channels.

Ali Akbar Akhtari, J. Abrishami, M. B. Sharifi, 2009 .

Tensor-product-Thomas elliptic solver for liquid-metal magnetohydrodynamics

O. Zikanov, J. Schumacher, D. Krasnov, 2022, J. Comput. Phys..

Development of a linear–nonlinear hybrid special model to predict monthly runoff in a catchment area and evaluate its performance with novel machine learning methods

A. Azari, Fereshteh Nourmohammadi Dehbalaei, A. Akhtari, 2023, Applied Water Science.