Alireza Ashrafian

Civil and Structural Engineering · 2004–2020

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 36 citations into it
• Building and Construction — 18 citations into it
• Computational Mechanics — 16 citations into it; #3,832 of 10,001 by trust here, #4,600 by citations
• Mechanical Engineering — 12 citations into it; #1,975 of 8,300 by trust here, #5,039 by citations
• Ocean Engineering — 6 citations into it

Whom Alireza Ashrafian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ali Behnood
2. Bashar S. Mohammed
3. Amir Ali Shahmansouri
4. Alexander Tropsha
5. M. Adamu
6. Amir H. Gandomi
7. Stefano Leonardi
8. Togay Ozbakkaloglu
9. Junbo Sun
10. Zaher Mundher Yaseen

Who trusts Alireza Ashrafian overall

1. S. H. Lee
2. Kiran Bhaganagar
3. Hyung Jin Sung
4. J. Lee
5. O. Flores
6. Tomoaki Ikeda
7. John Kim
8. P. Krogstad
9. M. Schultz
10. Paolo Orlandi

Papers from Alireza Ashrafian's perspective

Ordered by how strongly the researchers Alireza Ashrafian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Rough-Wall Turbulent Boundary Layers
2. Turbulent flows over rough walls
3. DNS OF TURBULENT FLOW IN A ROD-ROUGHENED CHANNEL (Proceeding of Third Symposium on Turbulence and Shear Flow Phenomena)
4. Direct simulations of a rough-wall channel flow (Journal of Fluid Mechanics)
5. DNS OF VELOCITY AND THERMAL FIELDS IN TURBULENT CHANNEL FLOW WITH TRANSVERSE-RIB ROUGHNESS (Proceeding of Third Symposium on Turbulence and Shear Flow Phenomena)
6. Beware of q2! (Journal of Molecular Graphics and Modelling)
7. Rough wall turbulent boundary layers in shallow open channel flow
8. Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression (Construction and Building Materials)
9. New formulations for mechanical properties of recycled aggregate concrete using gene expression programming
10. Direct Numerical Simulation of a Fully Developed Turbulent Channel Flow With Respect to the Reynolds Number Dependence

Their papers

• An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement (2020) — 74 citations
• Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement (2020) — 54 citations
• Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods (2018) — 115 citations
• An experimental and numerical study of channel flow with rough walls (2005) — 202 citations
• DNS OF TURBULENT FLOW IN A ROD-ROUGHENED CHANNEL (2004) — 159 citations