Research output per year
Research output per year
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Dive into the research topics where Riccardo Riva is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Identification of the test setup influence on the modal properties of a short wind turbine blade during fatigue test
Luczak, M. M., Riva, R., Yeniceli, S. C., Madsen, S. H. & Di Lorenzo, E., 2021, In: Measurement. 174, 9 p., 108960.Research output: Contribution to journal › Journal article › Research › peer-review
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A framework for quick identification of inflow conditions inducing destructive aeroelastic instabilities in wind turbines
Santhanam, C., Riva, R. & Knudsen, T., 2020, 16th eawe PhD Seminar. European Academy of Wind Energy, 3 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile42 Downloads (Pure) -
Comparison of wind turbine blade models through correlation with experimental modal data
Janeliukstis, R., Riva, R., Di Lorenzo, E., Luczak, M., Yeniceli, S. C., Madsen, S. H. & Peeters, B., 2020, Proceedings of ISMA2020 and USD2020. KU Leuven, p. 3507-3514Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Experimental and Operational Modal Analysis of Wind Turbine Blades During Fatigue Testing
Luczak, M. M., Riva, R., Yeniceli, S. C., Madsen, S. H., di Lorenzo, E. & Peeters, B., 2020. 4 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Large wind turbine edge instability field validation
Volk, D. M., Kallesøe, B. S., Johnson, S., Pirrung, G. R., Riva, R. & Barnaud, F., 2020, In: Journal of Physics: Conference Series. 1618, 5, 11 p., 052014.Research output: Contribution to journal › Conference article › Research › peer-review
Open AccessFile32 Downloads (Pure)