Renewable Energy and Advanced Construction Technology Laboratory (REACT-Lab)

We acknowledge the need for a global climate transition and strives to help drive decarbonisation in the real economy. Renewable energies and innovative construction technologies are an essential part of the solution. A successful transition to a decarbonised society relies on understanding the optimal mix of these renewable sources and sustainable infrastructure technologies. Established methods such as hydropower are widely used, but ocean energy and solar power present significant opportunities to accelerate this transition. In that respect, a circular economy will be an essential part of the research to optimise our limited resources.

The Renewable Energy and Advanced Construction Technologies Laboratory (REACT-Lab) research team seeks to accelerate the global climate transition by generating innovative technologies that economically utilise renewable energy sources and sustainable material technologies.

REACT-Lab aims to develop advanced modelling and optimisation techniques, sustainable materials and construction techniques that enable creative and reliable multifunctional structures for renewable energy systems and carbon-neutral construction technologies.

The REACT-Lab mission is sustainable advancement of design and optimisation techniques with a focus on the circular economy using new engineering materials.

REACT-Lab applies the SMART methodology, including Sustainability, Materials, Analytical, Reliability and Technologies.

Key areas

  • Mechanics of Functionally Graded Materials and Structures: Developing exact analytical and semi-analytical solutions for different energy and construction materials and structures.
  • Structural Optimisation and Data-driven Analysis: Addressing shape optimisation, data-driven and physics-informed reduced-order models
  • Renewable Energy Systems and Construction Technologies: Advancing sustainable practices for developing carbon-neutral engineering materials, such as concrete, asphalt and composites.
  • Reliability-Based Design Optimisation: Leveraging the computational efficiency of surrogate models combined with the flexibility of the double-loop approach.

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