Dr Marta Camps Santasmasas' Outputs (4)

Baler -- Machine Learning Based Compression of Scientific Data (2024)
Preprint / Working Paper

Storing and sharing increasingly large datasets is a challenge across scientific research and industry. In this paper, we document the development and applications of Baler - a Machine Learning based data compression tool for use across scientific di... Read More about Baler -- Machine Learning Based Compression of Scientific Data.

Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU (2022)
Journal Article
Shao, X., Santasmasas, M. C., Xue, X., Niu, J., Davidson, L., Revell, A. J., & Yao, H.-D. (2022). Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU. Engineering Applications of Computational Fluid Mechanics, 16(1), 2143-2156. https://doi.org/10.1080/19942060.2022.2132420

In this paper, the simulation and modeling of the turbulent atmospheric boundary layers (ABLs) in the presence of forests are studied using a lattice Boltzmann method with large eddy simulation, which was implemented in the open-source program GASCAN... Read More about Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU.

Comparison of Lattice Boltzmann and Navier-Stokes for Zonal Turbulence Simulation of Urban Wind Flows (2022)
Journal Article
Camps Santasmasas, M., Zhang, X., Parslew, B., Lane-Serff, G. F., Millar, J., & Revell, A. (2022). Comparison of Lattice Boltzmann and Navier-Stokes for Zonal Turbulence Simulation of Urban Wind Flows. Fluids, 7(6), 181. https://doi.org/10.3390/fluids7060181

In modelling turbulent flow around buildings, the computational domain needs to be much larger than the immediate neighbourhood of the building, resulting in computational costs that are excessive for many engineering applications. Two nested models... Read More about Comparison of Lattice Boltzmann and Navier-Stokes for Zonal Turbulence Simulation of Urban Wind Flows.

Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method (2021)
Journal Article

We present a GPU-based turbulent flow simulation by link-wise artificial compressibility method (LW-ACM). The standard implementations of the lattice Boltzmann method are limited by memory requirements due to the nature of the distribution functions... Read More about Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method.