COVIDCFD

LCFD for COVID-19

  • Studies of droplet and aerosol transmission for COVID-19 and TB in a clinical environment

Access the Computing Resources

  • There are powerful servers for ANSYS Fluent and Solid Works
  • These are licensed research versions as work-horses
  • Please access them here, where we describe how to get credentialed and how to access.

Open Source CAD file, 3D Point cloud, 3D Mesh and STL file visualisation

  • These resources are for interested non-experts to browse the data available in our private repos.
  • Cloud Compare Read in, manipulate, process 3D Point cloud and CAD STL files
  • MeshLab Open source system for processing and editing 3D triangular meshes. It provides a set of tools for editing, cleaning, healing, inspecting, rendering, texturing and converting meshes. It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing
  • Free CAD for the Solid Works diagrams

Understanding Droplet and Aerosol Transmission for COVID-19 and TB in a clinical environment

This project is a large interdisciplinary partnership of Doctors, Public Health Researchers, Data Scientists, Physicists and Engineers. It combines the data sets represented by several sources, including This project performs a Continuum Fluid Dynamics CFD study of droplet based transmission and airborne transmission for Tuberculosis (TB) and COVID-19 scenarios in real clinical environments. The study focuses on the probability of infection for either disease as a function of the environment and how the environment is engineered. The CFD is extended to be able to model a phenomenological medical parameter of infectiousness as a function of droplet based physical, chemical and medical parameters, as they evolve in the ambient and local fluid flow environment. The local environment is realistic and specific to real and actual environments in South African Hospitals and Clinics. This is achieved by a chain of 4IR high technology stages. It begins with laser generated point cloud, supplemented by conventional digitally acquired 3D photographic images. Data merging of these two sources and processing with High Performance Computing leads to a virtual model of the environment as a Computer Assisted Design (CAD) rendition. Further High Performance Computing is then used to reduce the details in certain areas, enhancing it in others, to provide a CFD voxelised 3D volume filling polyhedral mesh, which terminates at all surfaces in the local environment. This volumetric mesh, supplemented by specification of boundary conditions, physical, material and thermodynamic, is the starting point of the CFD calculations of droplet transport and time evolution. Different engineering interventions to prevent transmission are investigated and evaluated in this study. The impact of departure from the intended engineered environment due to insufficient maintenance, or inadequate design and implementation or simply due to actions of the people in the environment will be evaluated. Ultimately the study will evaluate engineered interventions for both TB and COVID-19 in terms of the safety of health workers on the frontlines of these epidemics, and in terms of hospital transmission. The nuances of transmission in these environments with different diseases can be studied and the environments can be optimised for safety.

Institutions Involved

  • Public Health Research Unit
  • Right to Care
  • Delta Scan
  • University of Johannesburg
  • University of the Witwatersrand
  • UNISA
  • Brookhaven National Accelerator laboratory
  • CERN
  • Technical University Tswane
  • University of Rwanda