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10,436 Projects, page 1 of 2,088
  • Funder: UK Research and Innovation Project Code: S18293/2
    Funder Contribution: 133,776 GBP

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

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  • Funder: UK Research and Innovation Project Code: 2897710

    Computational Fluid Dynamics (CFD) is increasingly used to analyze the hydrodynamic features of the built and natural environment; from warming ocean currents to highDspeed ocean liners. However, the computational cost of such simulations is still too high for engineering purposes without making simplifying assumption which greatly limit$the accuracy.

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  • Funder: UK Research and Innovation Project Code: RES-051-27-0067-A

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

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  • Funder: UK Research and Innovation Project Code: 10077605
    Funder Contribution: 56,721 GBP

    Materials, especially advanced materials, are the backbone and source of prosperity of an industrial society” (Materials 2030 Manifesto). The Green Deal and the Digital Decade establish high-priority policies for Europe, where 70% of all technical innovations are directly or indirectly attributed to advanced materials. Lightweight and high-strength materials have consistently played a key role in the construction of fuel-efficient and high-performing transportation structures. Lightweight materials such as glass and carbon fibres composites are commonly used due to their intrinsic properties such as high mechanical performance. However, the poor recyclability and recovery aspect poses a significant challenge. The end-of-life aspect of these materials is crucial, as when landfilled they release toxic substances into the environment. Moreover, minimising resource use, energy of manufacturing processes and optimising waste disposal of future advanced materials can help mitigate cost and product’s end-to-end footprint acrossits global lifecycle, thereby significantly improving its overall environmental performance. REPOXYBLE will create a new class of high-performance materials -bio-based epoxy compositestargeting cost and energy effectiveness, recyclability and sustainability. REPOXYBLE assumes an upstream approach more efficient and effective than having to address deficiencies at the end of the product development process. This approach integrates product performance, multifunctionality, sustainability, safety and potential legal concerns, while there is still time to act, on the monomers’ synthesis, the resin formulation and the future composite design. REPOXYBLE is driven by two complementary market applications in the aerospace and automotive sectors.

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  • Funder: UK Research and Innovation Project Code: 2890052

    Atmospheric storm tracks are the regions on earth where midlatitude weather systems predominantly grow, evolve and decay. They are strongly associated with the well-known midlatitude jet streams and are responsible for the majority of extreme weather events away from the tropics. Their longer-term prediction and their behaviour in a future climate is one of the great challenges of atmospheric science. A key uncertainty is the role of latent heating (condensation and evaporation of water) in the setting of the intensity of the storm track, its geographical structure, and its evolution. The dynamics of the storm track involves a complex, non-linear interplay between the jet stream, individual storms, different air masses, cloud fields, and the ocean surface. In this project we will work on capturing and understanding those interplays in terms of a dynamical system, a low-order, non-linear description of the most important physical interactions. As an example, earlier work on this topic has demonstrated that the interplay between the jet stream and storm intensity can be described as a non-linear oscillator, similar to a predator -- prey system known from mathematical biology! In this project we will particularly focus on how latent heating in the storm track can be incorporated in such a dynamical systems approach to the storm track. The project involves novel data analysis tools, applied mathematics, and computer simulations of the storm track, and provides a broad avenue of possible research foci and developments. The aim is to improve our understanding of the dynamics of the storm track and be able to make more confident predictions of their future behaviour.

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