Matthew A. Lackner, Ph.D.
Affiliations: | 2008 | Mechanical Engineering | University of Massachusetts, Amherst, Amherst, MA |
Area:
Mechanical Engineering, EnergyGoogle:
"Matthew Lackner"Parents
Sign in to add mentorJames Manwell | grad student | 2008 | U Mass Amherst | |
(The streamlined site assessment methodology: A new approach for wind energy site assessment.) |
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Publications
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Park S, Lackner MA. (2020) Edgewise vibration suppression of multi-megawatt wind turbine blades using passive tuned mass dampers Wind Engineering |
Park S, Glade M, Lackner MA. (2020) Multi-objective optimization of orthogonal TLCDs for reducing fatigue and extreme loads of a floating offshore wind turbine Engineering Structures. 209: 110260 |
Li Y, Park S, Jiang JZ, et al. (2020) Vibration suppression for monopile and spar‐buoy offshore wind turbines using the structure‐immittance approach Wind Energy |
Aird J, Gaertner E, Lackner M. (2019) Dynamic prescribed-wake vortex method for aerodynamic analysis of offshore floating wind turbines: Wind Engineering. 43: 47-63 |
Park S, Lackner MA, Pourazarm P, et al. (2019) An investigation on the impacts of passive and semiactive structural control on a fixed bottom and a floating offshore wind turbine Wind Energy. 22: 1451-1471 |
Hao Y, Lackner MA. (2017) Wind farm wake modeling using NWTC design codes Wind Engineering. 41: 62-73 |
La Cava W, Danai K, Spector L, et al. (2016) Automatic identification of wind turbine models using evolutionary multiobjective optimization Renewable Energy. 87: 892-902 |
Pourazarm P, Caracoglia L, Lackner M, et al. (2016) Perturbation methods for the reliability analysis of wind-turbine blade failure due to flutter Journal of Wind Engineering and Industrial Aerodynamics. 156: 159-171 |
Stewart GM, Robertson A, Jonkman J, et al. (2016) The creation of a comprehensive metocean data set for offshore wind turbine simulations Wind Energy. 19: 1151-1159 |
Pourazarm P, Modarres-Sadeghi Y, Lackner M. (2016) A parametric study of coupled-mode flutter for MW-size wind turbine blades Wind Energy. 19: 497-514 |