Sökning: "turbulenta flöden"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden turbulenta flöden.

  1. 1. Using GPU-aware message passing to accelerate high-fidelity fluid simulations

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jacob Wahlgren; [2022]
    Nyckelord :high-performance computing; computational fluid dynamics; spectral element method; graphical processing units; message passing interface; högprestandaberäkningar; beräkningsströmningsdynamik; spektralelementmetoden; grafikprocessorer; meddelandeförmedlingsgränssnitt;

    Sammanfattning : Motivated by the end of Moore’s law, graphics processing units (GPUs) are replacing general-purpose processors as the main source of computational power in emerging supercomputing architectures. A challenge in systems with GPU accelerators is the cost of transferring data between the host memory and the GPU device memory. LÄS MER

  3. 2. Deep learning for non-intrusive sensing in turbulence with passive scalars

    Master-uppsats, KTH/Strömningsmekanik och Teknisk Akustik

    Författare :Arivazhagan Geetha Balasubramanian; [2021]
    Nyckelord :Turbulent boundary layer; passive scalar; direct numerical simulation; Prandtl number; Machine learning; convolutional neural network; Turbulent gränsskikt; passiv skalär; direkt numerisk simulering; Prandtl-nummer; maskininlärning; faltningsneurala nätverk;

    Sammanfattning : The near-wall modelling of turbulent flows has been an active field of research due to the computational cost associated with the direct numerical simulations of such flow, which are characterized by a wide range of length and time scales. With the recent advancements in technological capabilities, the availability of high-fidelity data has enabled the construction of data-driven approaches to model turbulence. LÄS MER

  4. 3. Machine Learning Applications To Turbulence

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Mathias Näreaho; Linus Lundvall; [2020]
    Nyckelord :;

    Sammanfattning : By using a fully convolutional neural network, accurate predictions are made of turbulent flows in an open channel. The flow fields were predicted at two different heights y+ = 15,50 in the wall-normal direction. The effect of different input parameters of the neural network have been studied by generating two neural network models. LÄS MER

  5. 4. The Development of a New High Aspect-Ratio Turbulent Channel Flow Facility

    Master-uppsats, KTH/Strömningsmekanik och Teknisk Akustik

    Författare :Agastya Parikh; [2020]
    Nyckelord :;

    Sammanfattning : Turbulent channel flows are of great interest for investigations of modified wall boundary conditions due to their well-understood characteristics and their broad applicability. In a reversal of typical trends, they can often be more difficult to investigate experimentally than to simulate owing to the far-reaching influence of corner effects as well as the need for development lengths in excess of 200 channel half-heights in order to produce high-quality flow. LÄS MER

  7. 5. Turbulent flow control via nature inspired surface modifications

    Master-uppsats, KTH/Mekanik

    Författare :Miguel Beneitez; Johan Sundin; [2017]
    Nyckelord :flow control; DNS; lattice-Boltzmann; surface coating; friction drag; surface structures; superhydrophobic; porous; fibers; micropillars;

    Sammanfattning : Many of the flows in nature are turbulent. To modify turbulent flows, nature serves itself with different types of coatings. Sharks have riblets-like structures on their skin, fishes have slime with polymers and the surface of the lotus flower has superhydrophobic properties. LÄS MER