Browsing by Author "Radhakrishnan, Sarath"

Now showing items 1-6 of 6

    • A data-driven wall-shear stress model for LES using gradient boosted decision trees 

      Radhakrishnan, Sarath; Adu Gyamfi, Lawrence; Miró Jané, Arnau; Font García, Bernat; Calafell Sandiumenge, Joan; Lehmkuhl Barba, Oriol (Springer Nature, 2021)
      Conference report
      Open Access
      With the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ...

    • A machine learning based wall model for LES of turbulent flows 

      Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      The trubulent flow of fluids is still an enigma for mathematicians and engineers alike. The partial differential equation that reperesents the flow of fluids does not have an analytical solution for turbulent regimes. ...

    • Data-driven wall modeling for Large Eddy Simulation of non-equilibrium flows: preliminary studies 

      Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (Parallel Computational Fluid Dynamics (ParCFD), 2022)
      Conference report
      Restricted access - publisher's policy
      The availability of high fidelity data due to the recent developments in high-performance computing(HPC), has opened new doors for wall modeling in Large Eddy Simulation(LES). By augmenting the physics-based model with ...

    • Data-driven wall modeling for LES involving non-equilibrium boundary layer effects 

      Radhakrishnan, Sarath; Calafell Sandiumenge, Joan; Miró Jané, Arnau; Font, Bernat; Lehmkuhl Barba, Oriol (Emerald Publishing Limited, 2024)
      Article
      Open Access
      Purpose Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in ...

    • Data-driven wall modeling for LES involving non-equilibrium boundary layer effects 

      Radhakrishnan, Sarath; Calafell Sandiumenge, Joan; Miró Jané, Arnau; Font García, Bernat; Lehmkuhl Barba, Oriol (2024-08-26)
      Article
      Open Access
      Purpose Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in ...

    • Fast urban flow predictions through Convolutional Neural Networks 

      Calafell Sandiumenge, Joan; Bustillo, Jaime; Gomez Gonzalez, Samuel; Ramírez Jávega, Francisco; Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (2023)
      Conference report
      Open Access
      Having real-time and accurate numerical predictions of urban wind flow can be extremely useful for developing tools intended to improve citizens’ life quality and health. However, traditional methods such as Computational ...