Project Overview
This project integrates physical modelling, data analysis, and microstructural characterisation into long-term product assessment tests. Traditional construction material assessments are costly and time-consuming, limiting industry innovation. By leveraging microstructural imaging, this research aims to simulate and eventually predict accurate material behaviour through structural analysis, enhancing the development of functional construction materials.
Project Aims
- Develop a Simulation Framework to create computational models that integrate microstructural imaging data to predict the long-term behaviour of construction materials.
- Bridge Physics-Based and Data-Driven Approaches by Combining theoretical modelling, simulation, and microstructural imaging with empirical data to improve accuracy in material behaviour predictions.
- Optimize Product Assessment Methods by Reducing the time and cost of traditional physical testing by incorporating data-driven and computational simulation predictive assessments.
Period: January 2024 – January 2028
Impact: This research enhances the efficiency of construction material assessment by integrating physical modelling, data analysis, and microstructural characterisation with traditional testing. Reducing reliance on costly, time-consuming physical tests accelerates innovation in material development. Simulating and predicting material behaviour supports the industry’s adoption of advanced assessment techniques, enabling more effective evaluation of sustainable, durable, and high-performance construction materials.
Project Team
Collaborators
Swansea University
BBA (British Board of Agrément)