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Department of Mechanical and Production Engineering

Publications

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Amarloo, A., Zehtabiyan-Rezaie, N. & Abkar, M. (2024). A progressive data-augmented RANS model for enhanced wind-farm simulations. Energy, 313, Article 133762. https://doi.org/10.1016/j.energy.2024.133762

Hansen, C., Sørensen, J. N., I. A. Yang, X. & Abkar, M. (2024). Extension of the law of the wall exploiting weak similarity of velocity fluctuations in turbulent channels. Physics of Fluids, 36(1), Article 015134. https://doi.org/10.1063/5.0185334

I. A. Yang, X., Abkar, M. & I. Park, G. (2024). Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime. Journal of Fluids Engineering, Transactions of the ASME, 146(8), Article 081501. https://doi.org/10.1115/1.4064850

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. In ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Vol. 9). Article IMECE2023-116581, V009T10A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2023-116581

Nozarian, S., Abkar, M. & Forooghi, P. (2024). An analysis of drag reduction using spanwise forcing on rough walls. International Journal of Heat and Fluid Flow, 106. Advance online publication. https://lnkd.in/esXhHQGK

Rincón, M. J., Caspersen, A., Thorenfeldt Ingwersen, N., Reclari, M. & Abkar, M. (2024). Flow investigation of two-stand ultrasonic flow meters in a wide dynamic range by numerical and experimental methods. Flow Measurement and Instrumentation, 96, Article 102543. https://doi.org/10.1016/j.flowmeasinst.2024.102543

Yang, X. I. A., Zhang, W., Abkar, M. & Anderson, W. (2024). Computational fluid dynamics: Its carbon footprint and role in carbon reduction. Journal of Renewable and Sustainable Energy, 16(5), Article 055906. https://doi.org/10.1063/5.0217320

Zehtabiyan-Rezaie, N. & Abkar, M. (2024). An extended K-ɛ model for wake-flow simulation of wind farms. Renewable Energy, 222, Article 119904. https://doi.org/10.1016/j.renene.2023.119904

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Article 045142 . https://doi.org/10.1063/5.0203068

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Article 075154. https://doi.org/10.1063/5.0160977

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements Proceedings https://www.ercoftac.org/etmm/program/conference-program/

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Article 125154 . https://doi.org/10.1063/5.0174470

Baungaard, M., van der Laan, M. P., Wallin, S. & Abkar, M. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics: Conference Series (Online), 2505, Article 012028. https://doi.org/10.1088/1742-6596/2505/1/012028

E. S. Chen, P., Bin, Y., I. A. Yang, X., Shi, Y., Abkar, M. & I. Park, G. (2023). A priori screening of data-enabled turbulence models. Physical Review Fluids, 8(12), Article 124606. https://doi.org/10.1103/PhysRevFluids.8.124606

Hansen, C., I.A. Yang, X. & Abkar, M. (2023). A POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions. Journal of Fluid Mechanics, 975, Article A24. https://doi.org/10.1017/jfm.2023.857

Hansen, C., I. A. Yang, X. & Abkar, M. (2023). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Turbulent Boundary Layers. Journal of Fluids Engineering, Transactions of the ASME, 145(6), Article FE-22-1510. https://doi.org/10.1115/1.4057016

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Article 236. https://doi.org/10.1145/3567591

Rincón, M. J., Reclari, M., Yang, X. & Abkar, M. (2023). CFD-aided morphing and design optimisation of ultrasonic flow meters. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (pp. 109-114) https://www.ercoftac.org/etmm/program/conference-program/

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Rincón, M. J., Reclari, M., I. A. Yang, X. & Abkar, M. (2023). Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling. International Journal of Heat and Fluid Flow, 100, Article 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

Vadrot, A. F., I. A. Yang, X., Bae, H. J. & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5), Article 055122 . https://doi.org/10.1063/5.0147570

Vadrot, A. F., Yang, X. I. A. & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), Article 064603. https://doi.org/10.1103/PhysRevFluids.8.064603

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). An extended k- ε model for wind-farm simulation. In 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements: Proceedings (pp. 373-378)

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). A short note on turbulence characteristics in wind-turbine wakes. Journal of Wind Engineering and Industrial Aerodynamics, 240, Article 105504. https://doi.org/10.1016/j.jweia.2023.105504

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Amarloo, A., Forooghi, P. & Abkar, M. (2022). Frozen propagation of Reynolds force vector from high-fidelity data into Reynolds-averaged simulations of secondary flows. Physics of Fluids, 34(11), Article 115102. https://doi.org/10.1063/5.0123231

Amarloo, A., Forooghi, P. & Abkar, M. (2022). Secondary flows in statistically unstable turbulent boundary layers with spanwise heterogeneous roughness. Theoretical and Applied Mechanics Letters, 12(2), Article 100317. https://doi.org/10.1016/j.taml.2021.100317

Baungaard, M., Abkar, M., van der Laan, M. P. & Kelly, M. (2022). A numerical investigation of a wind turbine wake in non-neutral atmospheric conditions. Journal of Physics Conference Series, 2265(2), Article 022015. https://doi.org/10.1088/1742-6596/2265/2/022015

Eidi, A., Zehtabiyan-Rezaie, N., Chiassi, R., Yang, X. I. A. & Abkar, M. (2022). Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms. Physics of Fluids, 34(8), Article 085135. https://doi.org/10.1063/5.0100076

Hansen, C., I. A. Yang, X. & Abkar, M. (2022). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Boundary Layers. In Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) Article FEDSM2022-87630, V002T05A023 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2022-87630

Rincón, M. J., Reclari, M. & Abkar, M. (2022). Turbulent flow in small-diameter ultrasonic flow meters: A numerical and experimental study. Flow Measurement and Instrumentation, 87, Article 102227. https://doi.org/10.1016/j.flowmeasinst.2022.102227

Yang, H., Ge, M., Abkar, M. & I. A. Yang, X. (2022). Large-eddy simulation study of wind turbine array above swell sea. Energy, 256, Article 124674. https://doi.org/10.1016/j.energy.2022.124674

Yang, X. I. A., E. S. Chen, P., Hu, R. & Abkar, M. (2022). Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers. Boundary-Layer Meteorology, 183(2), 199-213. https://doi.org/10.1007/s10546-021-00683-5

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2022). Data-driven fluid mechanics of wind farms: A review. Journal of Renewable and Sustainable Energy, 14(3), Article 032703. Advance online publication. https://doi.org/10.1063/5.0091980

D. Huang, X. L. ., Jain, N., Abkar, M., Kunz, R. F. & Yang, X. I. A. (2021). Determining a priori a RANS model’s applicable range via global epistemic uncertainty quantification. Computers & Fluids, 230, Article 105113. https://doi.org/10.1016/j.compfluid.2021.105113

Eidi, A., Ghiassi, R., Yang, X. I. A. & Abkar, M. (2021). Model-form uncertainty quantification in RANS simulations of wakes and power losses in wind farms. Renewable Energy, 179, 2212-2223. https://doi.org/10.1016/j.renene.2021.08.012

Hornshøj-Møller, S., Nielsen, P., Forooghi, P. & Abkar, M. (2021). Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes. Renewable Energy, 164, 1550-1558. https://doi.org/10.1016/j.renene.2020.10.148

Speakman, G. A., Abkar, M., A. Martínez-Tossas, L. & Bastankhah, M. (2021). Wake steering of multirotor wind turbines. Wind Energy, 24(11), 1294-1314. https://doi.org/10.1002/we.2633

Abkar, M. (2020). Computer models show clear advantages in new types of wind turbines. In J. Bruun (Ed.), Profile 2020 (pp. 52-55). Aarhus Universitet, Institut for Ingeniørvidenskab . https://www.e-pages.dk/aarhusuniversitet/2231/html5/

Forooghi, P., I. A. Yang, X. & Abkar, M. (2020). Roughness-induced secondary flows in stably stratified turbulent boundary layers. Physics of Fluids, 32(10), Article 105118. https://doi.org/10.1063/5.0025949

Hansen, M. M., Enevoldsen, P. & Abkar, M. (2020). Energy harvesting via co-locating horizontal-and vertical-axis wind turbines. Journal of Physics: Conference Series, 1618(3), Article 032004. https://doi.org/10.1088/1742-6596/1618/3/032004

I. A. Yang, X., Pirozzoli, S. & Abkar, M. (2020). Scaling of velocity fluctuations in statistically unstable boundary-layer flows. Journal of Fluid Mechanics, 886, Article A3. https://doi.org/10.1017/jfm.2019.1034

Abkar, M. (2019). Theoretical modeling of vertical-axis wind turbine wakes. Energies, 12(1), Article 10. https://doi.org/10.3390/en12010010

Abkar, M., Porte-Agel, F. & Sørensen, J. (2019). Wind Turbine Wakes in Directionally Varying Wind Shears. In R. Örlü, A. Talamelli, J. Peinke & M. Oberlack (Eds.), Progress in Turbulence VIII: Proceedings of the iTi Conference in Turbulence 2018 (pp. 311-316). Springer. https://doi.org/10.1007/978-3-030-22196-6_49

Bastankhah, M. & Abkar, M. (2019). Multirotor wind turbine wakes. Physics of Fluids, 31(8), Article 085106. https://doi.org/10.1063/1.5097285

Cremades Rey, L. F., Hinz, D. F. & Abkar, M. (2019). Reynolds Stress Perturbation for Epistemic Uncertainty Quantification of RANS Models Implemented in OpenFOAM. Fluids, 4(2), Article 113. https://doi.org/10.3390/fluids4020113

Gautam, K. R., Rong, L., Zhang, G. & Abkar, M. (2019). Comparison of analysis methods for wind-driven cross ventilation through large openings. Building and Environment, 154, 375-388. https://doi.org/10.1016/j.buildenv.2019.02.009

van der Laan, P. & Abkar, M. (2019). Improved energy production of multi-rotor wind farms. Journal of Physics: Conference Series (Online), 1256(1), Article 012011. https://doi.org/10.1088/1742-6596/1256/1/012011

Abkar, M., Sørensen, J. N. & Porte-Agel, F. (2018). An analytical model for the effect of vertical wind veer on wind turbine wakes. Energies, 11(7), Article 1838. https://doi.org/10.3390/en11071838

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Mahdi Abkar