Modeling the wind circulation around mills with a Lagrangian stochastic approach

Article Properties
Cite
Bossy, Mireille, et al. “Modeling the Wind Circulation Around Mills With a Lagrangian Stochastic Approach”. The SMAI Journal of Computational Mathematics, vol. 2, 2016, pp. 177-14, https://doi.org/10.5802/smai-jcm.13.
Bossy, M., Espina, J., Moricel, J., Paris, C., & Rousseau, A. (2016). Modeling the wind circulation around mills with a Lagrangian stochastic approach. The SMAI Journal of Computational Mathematics, 2, 177-214. https://doi.org/10.5802/smai-jcm.13
Bossy M, Espina J, Moricel J, Paris C, Rousseau A. Modeling the wind circulation around mills with a Lagrangian stochastic approach. The SMAI Journal of computational mathematics. 2016;2:177-214.
Journal Categories
Language and Literature
Science
Mathematics
Refrences
Title Journal Journal Categories Citations Publication Date
Stochastic Lagrangian method for downscaling problems in computational fluid dynamics ESAIM: Mathematical Modelling and Numerical Analysis
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
10 2010
Stochastic downscaling method: application to wind refinement Stochastic Environmental Research and Risk Assessment
  • Technology: Engineering (General). Civil engineering (General): Environmental engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
14 2008
10.1016/0167-6105(92)90540-Q
10.1017/S0022112089000753
10.1007/BFb0074532
Citations
Title Journal Journal Categories Citations Publication Date
Instantaneous turbulent kinetic energy modelling based on Lagrangian stochastic approach in CFD and application to wind energy Journal of Computational Physics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Physics
2 2022
Analysis of the Blade Element Momentum Theory SIAM Journal on Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2021
Lagrangian Vortex Computations of a Four Tidal Turbine Array: An Example Based on the NEPTHYD Layout in the Alderney Race

Energies
  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
3 2021
Synchronization of stochastic mean field networks of Hodgkin–Huxley neurons with noisy channels Journal of Mathematical Biology
  • Science: Biology (General)
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
8 2019
Citations Analysis
The category Science: Mathematics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Synchronization of stochastic mean field networks of Hodgkin–Huxley neurons with noisy channels and was published in 2019. The most recent citation comes from a 2022 study titled Instantaneous turbulent kinetic energy modelling based on Lagrangian stochastic approach in CFD and application to wind energy. This article reached its peak citation in 2021, with 2 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the Journal of Computational Physics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year