Project Contacts

For further information about this project, please contact:

• Dr Andrew Aspden (andrew.aspden@newcastle.ac.uk)
• Dr Benjamin Wetenhall (ben.wetenhall@newcastle.ac.uk)

Project Description

High-performance computing for multiple Python-based FEA simulations, transient image analysis to detect underwater material defects, and training neural networks using generated datasets for AI model development.

Software or Compute Methods

Use of Python-based frameworks for finite element analysis (FEA) and image processing, including libraries such as NumPy, SciPy, and OpenCV. Neural network training will employ deep learning frameworks like PyTorch or TensorFlow. Compute tasks include large-scale parallel processing, batch job execution, and GPU acceleration for AI model training and image analysis.