• 790 Citations
20062020
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Fingerprint Dive into the research topics where Alireza Maheri is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Wind turbines Engineering & Materials Science
Turbomachine blades Engineering & Materials Science
Aerodynamics Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Controllers Engineering & Materials Science
Composite materials Engineering & Materials Science
Costs Engineering & Materials Science
Rotors Engineering & Materials Science

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Research Output 2006 2020

  • 790 Citations
  • 39 Article
  • 37 Conference contribution
  • 6 Paper
  • 5 Chapter
3 Citations (Scopus)

A stall-regulated wind turbine design to reduce fatigue

Macquart, T. & Maheri, A., 1 Apr 2019, In : Renewable Energy. 133, p. 964-970 7 p.

Research output: Contribution to journalArticle

Wind turbines
Fatigue of materials
Controllers
Turbomachine blades
Costs

Large deflection of functionally graded porous beams based on a geometrically exact theory with a fully intrinsic formulation

Masjedi, P. K., Maheri, A. & Weaver, P. M., 16 Jul 2019, In : Applied Mathematical Modelling. 76, p. 938-957 19 p.

Research output: Contribution to journalArticle

Large Deflection
Porosity
Porous materials
Formulation
Stiffness

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

Asgharnia, A. H., Jamali, A., Shahnazi, R. & Maheri, A., 4 Jul 2019, In : ISA Transactions.

Research output: Contribution to journalArticle

RBF Neural Network
wind turbines
Wind Turbine
PID Controller
Fractional Order
Multiobjective optimization
Structural analysis
Wind turbines
Turbomachine blades
Structural design

Plannable demand load in size optimisation of hybrid renewable energy systems

Maheri, A. & Bokah, A., 21 Jan 2019, Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018. Institute of Electrical and Electronics Engineers Inc., 8617048

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Renewable Energy
renewable energy
Scheduling
Optimization
demand