Computational Mechnanics Laboratory

Welcome to the Computational Mechanics Laboratory, in the Department of Mechanical Engineering at the University of Maryland, Baltimore County. We aim to develop state-of-the-art numerical tools and use them to analyze and design complex systems arising from mechanical, marine, biomedical, civil, aerospace engineering and so on. Current engineering foci of our group are on flapping wing aerodynamics, renewable energy harvesting techniques, numerical optimization, and nonhydrostatic mesoscale atmospheric modeling. The algorithm development efforts are on high-oder numerical methods (discontinuous Galerkin, flux reconstruction/correction procedure via reconstruction (FR/CPR), spectral difference/volume, etc.), shock capturing, and efficient algorithms for solving nonlinear systems.

Recent PUBLICATIONS

N. Poudel, M. L. Yu, and J. T. Hrynuk, Gust Mitigation with an Oscillating Airfoil at Low Reynolds Number, Physics of Fluids, in press, 2021.
C. Sasser, M. L. Yu, and R. Delgado, Improvement of Wind Power Prediction from Meteorological Characterization with Machine Learning Models, Renewable Energy, in press, 2021.
K. Liu, M. L. Yu, and W. Zhu, Performance analysis of vertical axis water turbines under single-phase water and two-phase open channel flow conditions, Ocean Engineering, Vol. 238, 109769, 2021.
L. Li, I. Chopra, W. D. Zhu, and M. L. Yu, Performance Analysis and Optimization of a Vertical-Axis Wind Turbine with a High Tip-Speed Ratio, Energies, 14(4), 996, 2021.
H. Guy, A. Alexanderian, and M. L. Yu. A distributed active subspace method for scalable surrogate modeling of function valued outputs, Journal of Scientific Computing, Vol. 85, Article number: 36 (2020). [arxiv.org/abs/1908.02694]
L. Wang, and M. L. Yu, Comparison of ROW, ESDIRK, and BDF2 for Unsteady Flows with the High-Order Flux Reconstruction Formulation, Journal of Scientific Computing, Vol. 83, no. 39, 2020. [arxiv.org/abs/1904.04825, JSC]
L. Wang, Matthias Gobbert, and M. L. Yu, A dynamically load-balanced parallel p-adaptive implicit high-order flux reconstruction method for under-resolved turbulence simulation, Journal of Computational Physics, Vol. 417, no. 109581, 2020. [arxiv.org/abs/1910.03693, JCP]
M. H. Tong, W. D. Zhu, X. Zhao, M. L. Yu, K. Liu, and G. Li, Free and Forced Vibration Analysis of H-Type and Hybrid Vertical-Axis Wind Turbines, Energies, 13(24), 6747, 2020.

2019

K. Liu, M. L. Yu, and W. Zhu, Enhancing Wind Energy Harvesting Performance of Vertical Axis Wind Turbines with a New Hybrid Design: a Fluid-Structure Interaction Study, Renewable Energy, Vol. 140, pp. 912-927, 2019.
S. Smith, A.-B. Syed, K. Liu, M. L. Yu, W. Zhu, G. Huang, D. Chen, and M. S. Aggour, A Comprehensive Aero-Hydro-Structural Analysis of a 5 MW Offshore Wind Turbine System, Journal of Solar Energy Engineering: Including Wind Energy and Building Energy Conservation, Vol. 141, pp. 061005, 2019.
L. Wang, and M. L. Yu, An Implicit High-Order Preconditioned Flux Reconstruction Method for Low-Mach-Number Flow Simulation with Dynamic Meshes, International Journal for Numerical Methods in Fluids, Vol. 91, pp. 348-366, 2019. [arxiv.org/abs/1903.06304]
H. L. Cleaves, A. Alexanderian, H. Guy, R. C. Smith, and M. L. Yu. Derivative based global sensitivity analysis for models with high-dimensional inputs and functional outputs, SIAM Journal on Scientific Computing, 41(6), A3524-A3551, 2019. [arxiv.org/abs/1902.04630]
A. Alexanderian, W. Reese, R. C. Smith, and M. L. Yu, Model Input and Output Dimension Reduction Using Karhunen Loève Expansions with Application to Biotransport, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4): 041014, 2019. [arxiv.org/abs/1903.06314]
L. Wang and M. L. Yu. "A p-multigrid flux reconstruction method for the steady Navier-Stokes equations", AIAA Aviation 2019 Forum (AIAA 2019-3061), 17-21 June 2019, Dallas, Texas. [https://doi.org/10.2514/6.2019-3061]
L. Wang and M. L. Yu. "Jacobian-free implicit p-adaptive high-order compact direct flux reconstruction methods for unsteady flow simulation", AIAA Aviation 2019 Forum (AIAA 2019-3062), 17-21 June 2019, Dallas, Texas. [https://doi.org/10.2514/6.2019-3062]
N. Poudel, M. L. Yu, Z. F. Smith, and J. T. Hrynuk, A combined experimental and computational study of a vertical gust generator in a wind tunnel, AIAA Scitech 2019 Forum (AIAA 2019-2166), San Diego, California. [arc.aiaa.org/doi/abs/10.2514/6.2019-2166]
K. Liu, L. Wang, and M. L. Yu, Towards high-order accurate numerical simulation of unsteady flow physics over domains with large deformation, AIAA Scitech 2019 Forum (AIAA 2019-1400), San Diego, California. [arc.aiaa.org/doi/abs/10.2514/6.2019-1400]