| Review of supercritical CO2 technologies and systems for power generation MT White, G Bianchi, L Chai, SA Tassou, AI Sayma Applied Thermal Engineering 185, 116447, 2021 | 334 | 2021 |
| Modeling of three-dimensional viscous compressible turbomachinery flows using unstructured hybrid grids AI Sayma, M Vahdati, L Sbardella, M Imregun AIAA journal 38 (6), 945-954, 2000 | 173 | 2000 |
| Computational fluid dynamics A Sayma Bookboon, 2009 | 167 | 2009 |
| An integrated nonlinear approach for turbomachinery forced response prediction. Part I: Formulation AI Sayma, M Vahdati, M Imregun Journal of fluids and structures 14 (1), 87-101, 2000 | 160 | 2000 |
| On the use of atmospheric boundary conditions for axial-flow compressor stall simulations M Vahdati, AI Sayma, C Freeman, M Imregun | 151 | 2005 |
| Mechanisms and prediction methods for fan blade stall flutter M Vahdati, AI Sayma, JG Marshall, M Imregun Journal of Propulsion and Power 17 (5), 1100-1108, 2001 | 102 | 2001 |
| An integrated nonlinear approach for turbomachinery forced response prediction. Part II: Case studies M Vahdati, AI Sayma, M Imregun Journal of fluids and structures 14 (1), 103-125, 2000 | 88 | 2000 |
| The effect of stagger variability in gas turbine fan assemblies MJ Wilson, M Imregun, AI Sayma | 63 | 2007 |
| Semi‐structured meshes for axial turbomachinery blades L Sbardella, AI Sayma, M Imregun International Journal for Numerical Methods in Fluids 32 (5), 569-584, 2000 | 59 | 2000 |
| Multibladerow forced response modeling in axial-flow core compressors M Vahdati, AI Sayma, M Imregun, G Simpson | 57 | 2007 |
| An integrated time-domain aeroelasticity model for the prediction of fan forced response due to inlet distortion C Bre´ ard, M Vahdati, AI Sayma, M Imregun J. Eng. Gas Turbines Power 124 (1), 196-208, 2002 | 56 | 2002 |
| Influence of stagger angle variation on aerodynamic damping and frequency shifts I Sladojevic, AI Sayma, M Imregun Turbo Expo: Power for Land, Sea, and Air 47942, 683-700, 2007 | 43 | 2007 |
| A numerical study of labyrinth seal flutter L di Mare, M Imregun, JS Green, AI Sayma | 41 | 2010 |
| Whole-assembly flutter analysis of a low-pressure turbine blade AI Sayma, M Vahdati, M Imregun, JS Green The Aeronautical Journal 102 (1018), 459-463, 1998 | 41 | 1998 |
| Computational aeroelastic modelling of airframes and turbomachinery: progress and challenges RE Bartels, AI Sayma Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2007 | 35 | 2007 |
| The potential of the natural gas grid to accommodate hydrogen as an energy vector in transition towards a fully renewable energy system P Danieli, A Lazzaretto, J Al-Zaili, A Sayma, M Masi, G Carraro Applied Energy 313, 118843, 2022 | 33 | 2022 |
| A generalised assessment of working fluids and radial turbines for non-recuperated subcritical organic rankine cycles MT White, AI Sayma Energies 11 (4), 800, 2018 | 33 | 2018 |
| A new method to identify the optimal temperature of latent-heat thermal-energy storage systems for power generation from waste heat MT White, AI Sayma International Journal of Heat and Mass Transfer 149, 119111, 2020 | 32 | 2020 |
| The application of similitude theory for the performance prediction of radial turbines within small-scale low-temperature organic Rankine cycles M White, AI Sayma Journal of Engineering for Gas Turbines and Power 137 (12), 122605, 2015 | 32 | 2015 |
| Aeroelasticity analysis of air-riding seals for aero-engine applications AI Sayma, C Bré Ard, M Vahdati, M Imregun J. Trib. 124 (3), 607-616, 2002 | 32 | 2002 |
Martin T WhiteSenior Lecturer (Associate Professor) in Mechanical Engineering, University of Sussex在 sussex.ac.uk 的电子邮件经过验证
