META-LEGO will bring the knowledge needed to design metamaterials/classical-materials structures that control elastic waves and recover energy. For this, I will develop, implement and validate a new paradigm for finite-size metamaterials’ modeling, by leveraging the relaxed-micromorphic model that I have contributed to pioneer. The presence of boundaries in metamaterials strongly affects their response when coming in contact with mechanical loads. Yet, we still lack an exhaustive model to predict the static/dynamic response of finite-size metamaterials: current homogenization methods are unsuitable to provide a coherent transition from infinite- to finite-size metamaterials modeling. This prevents us from exploring realistic structures combining metamaterials’ and classical-materials’ bricks of finite size. META-LEGO hypothesizes that the mechanical response of finite-size metamaterials can be explored going beyond classical homogenization. Instead, I will create an elastic- and inertia-augmented micromorphic model with embedded internal lengths to describe the main metamaterials’ fingerprint characteristics, such as anisotropy, dispersion, band-gaps, size-effects, etc. To provide this paradigm shift, I will focus on 4 objectives: 1. Model metamaterials’ response under static/dynamic loads 2. Implement the model on infinite-size metamaterials 3. Validate the model on finite-size metamaterials 4. Design and manufacture metamaterials/classical-materials structures able to control elastic waves and recover energy The reduced model’s structure (free of unnecessary parameters), coupled with well-posed boundary conditions, will allow us to unveil the static/dynamic response of both real and not-yet-existing metamaterials’ bricks of arbitrary size and shape. Playing LEGO with such bricks, we will be able to design and optimize surprising meta-structures, such as noise- and vibration-controlled railway stations, or meta-cities entirely protected from seismic waves.
MISSION-CCS presents a timely and unique doctoral network designed to deliver the next generation of highly trained researchers and entrepreneurs in the field of material science, specifically focused towards accelerating implementation of carbon capture and storage CCS technologies worldwide and ensuring the sustainable and safe operation of existing and future CCS systems. The training network combines unique experimental system design and modelling approaches, state-of-the-art analytical technologies and techno-economic analysis to deliver a new generation of researchers and entrepreneurs. The programme of research training centres of delivering Doctoral Candidate Researchers (DCRs) with world-leading technical expertise in material science and engineering relevant to the entire CCS process. MISSION-CCS ensures that the subject-specific technical knowledge of each DCRs is under-pinned by inter-sectorial knowledge whilst also promoting wider innovation skills and relevant training on the techno-economics of CCS, developing experts with breadth of knowledge. A central aim of the network is to forge a strong cohort culture, by ensuring that peer-to-peer learning and mutual support become the norm, in order to enhance experience. Research-led training activities are strengthened through a dynamic and interactive education based programme delivered by an internationally renowned consortium of academics and industrialists with complementary skills. As part of the training programme, subsequent to an introduction to CCS systems and the specific material science challenges, DCRs will gain knowledge of system design and optimisation, state-of-the-art analytical methods, theoretical modelling, techno-economics, and understand the challenges of exploiting their research. They will also acquire proficiency in project management, communication, entrepreneurship, and innovation; all essential attributes for any modern technical professional.