Estimation of Critical Velocity for Slurry Transport through Pipeline Using Adaptive Neuro-Fuzzy Interference System and Gene-Expression Programming-Reference-Cited by-同舟云学术

Estimation of Critical Velocity for Slurry Transport through Pipeline Using Adaptive Neuro-Fuzzy Interference System and Gene-Expression Programming

Published:2013-05 Issue:2 Volume:4 Page:131-137
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Azamathulla H. Md.¹,Ahmad Z.²

Affiliation:

1. Associate Professor, REDAC, Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300 Nibong Tebal, Pulau Pinang, Malaysia (corresponding author).

2. Professor, Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000123

Reference35 articles.

1. Avci I. (1981). “Experimentally determination of critical flow velocity in sediment carrying pipeline systems.” Technical Rep. Technical Univ. Istanbul Turkey.

2. Genetic Programming to Predict River Pipeline Scour

3. Genetic Programming to Predict Bridge Pier Scour

4. HETEROGENEOUS FLOW OF HETEROGENEOUS SOLIDS

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flow regime and critical deposition velocity of liquid–solid two-phase flow in pipeline: Progress and perspectives;Physics of Fluids;2023-10-01

2. Effects of large particles on the transport characteristics of slurries in horizontal pipes;Particulate Science and Technology;2022-09-20

3. Study on Critical Velocity of Sand Transport in V-Inclined Pipe Based on Numerical Simulation;Water;2022-08-26

4. Selective Allowance of Precipitation from Oversaturated Solution Using Surface Structures;ACS Omega;2022-01-03

5. Numerical prediction of solid-liquid slurry flows and derivation of simulation-based correlations for local solid concentration;Progress in Computational Fluid Dynamics, An International Journal;2022