Ali Haghiri

Quantification of parasite clearance in Plasmodium knowlesi infections.

Jeyamalar T Thurai Rathnam, Matthew J Grigg, Saber Dini, Timothy William, Sitti Saimah Sakam, Daniel J Cooper, Giri S Rajahram, Bridget E Barber, Nicholas M Anstey, Ali Haghiri, Megha Rajasekhar, Julie A Simpson

Journal article  |  2023  |  Malar J

BACKGROUND: The incidence of zoonotic Plasmodium knowlesi infections in humans is rising in Southeast Asia, leading to clinical st..

Computations of the BeVERLI Hill three-dimensional separating flow model validation cases

A Gargiulo, TA Ozoroski, T Hallock, A Haghiri, RD Sandberg, M Visonneau, G Deng, E Guilmineau, D Geneau, T Jeans, M Bettle, M Kerkvliet, SL Toxopeus, JE Duetsch-Patel, V Sundarraj, A Borgoltz, WJ Devenport, CJ Roy, KT Lowe

Conference Proceedings  |  2022  |  AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

The BeVERLI (Benchmark Validation Experiment for RANS/LES Investigations) Hill project aims at producing a detailed experimental d..

STUDY ON THE APPLICABILITY OF A MACHINE-LEARNING FRAMEWORK TO IMPROVE MODELING FOR THE STRATIFICATION PHENOMENON

T Oda, S Okayasu, N Hara, K Tanimoto, A Haghiri, X Xu, R Sandberg

Conference Proceedings  |  2022  |  International Conference on Nuclear Engineering, Proceedings, ICONE

In chemical plants, heat storage systems, nuclear power plants, etc., when hot water is injected into a tank containing cold water..

RANS predictions of trailing-edge slot flows using heatflux closures developed with CFD-driven machine learning

Chitrarth Lav, Ali Haghiri, Richard D Sandberg

Journal article  |  2021  |  JOURNAL OF THE GLOBAL POWER AND PROPULSION SOCIETY

Accurate prediction of the wall temperature downstream of the trailing-edge slot is crucial to designing turbine blades that can w..

Large eddy simulations of wall jets with coflow for the study of turbulent Prandtl number variations and data-driven modeling

Ali Haghiri, Richard D Sandberg

Journal article  |  2020  |  Physical Review Fluids

There is a continuing effort by turbulence researchers to provide improved turbulent heat flux predictions for Reynolds-averaged N..

Role of Coherent Structures in Turbulent Premixed Flame Acoustics

D Brouzet, A Haghiri, M Talei, MJ Brear, OT Schmidt, G Rigas, T Colonius

Journal article  |  2020  |  AIAA Journal

Spectral proper orthogonal decomposition (SPOD) is applied to direct numerical simulation datasets of a lean and a stoichiometric ..

Flame Annihilation Displacement Speed and Stretch Rate in Turbulent Premixed Flames

A Haghiri, M Talei, MJ Brear, ER Hawkes

Journal article  |  2020  |  Flow, Turbulence and Combustion

This paper examines the dynamics of flame annihilation in turbulent premixed flames using a DNS dataset of Haghiri et al. (J. Flui..

Annihilation events topology and their generated sound in turbulent premixed flames

Davy Brouzet, Ali Haghiri, Mohsen Talei, Michael J Brear

Journal article  |  2019  |  Combustion and Flame

The Combustion Institute This paper studies the contribution of flame annihilation events to the sound radiated by turbulent, prem..

Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot

RD Sandberg, R Tan, J Weatheritt, A Ooi, A Haghiri, V Michelassi, G Laskowski

Journal article  |  2018  |  Journal of Turbomachinery

Machine learning was applied to large-eddy simulation (LES) data to develop nonlinear turbulence stress and heat flux closures wit..

Sound generation by turbulent premixed flames

Ali Haghiri, Mohsen Talei, Michael J Brear, Evatt R Hawkes

Journal article  |  2018  |  JOURNAL OF FLUID MECHANICS

This paper presents a numerical study of the sound generated by turbulent, premixed flames. Direct numerical simulations (DNS) of ..