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[{"model": "core.projectfund", "pk": 23051, "fields": {"project": 232, "organisation": 2, "amount": 1340905, "start_date": "2017-02-01", "end_date": "2022-09-29", "raw_data": 36626}}]
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[{"model": "core.projectfund", "pk": 15148, "fields": {"project": 232, "organisation": 2, "amount": 1340905, "start_date": "2017-02-01", "end_date": "2022-09-29", "raw_data": 1111}}]
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[{"model": "core.projectorganisation", "pk": 57760, "fields": {"project": 232, "organisation": 419, "role": "PP_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57759, "fields": {"project": 232, "organisation": 420, "role": "PP_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57758, "fields": {"project": 232, "organisation": 421, "role": "PP_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57757, "fields": {"project": 232, "organisation": 422, "role": "PP_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57756, "fields": {"project": 232, "organisation": 424, "role": "PP_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57755, "fields": {"project": 232, "organisation": 2207, "role": "FELLOW_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57754, "fields": {"project": 232, "organisation": 425, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57753, "fields": {"project": 232, "organisation": 141, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57752, "fields": {"project": 232, "organisation": 247, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57751, "fields": {"project": 232, "organisation": 426, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57750, "fields": {"project": 232, "organisation": 427, "role": "COLLAB_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57749, "fields": {"project": 232, "organisation": 99, "role": "COLLAB_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 57748, "fields": {"project": 232, "organisation": 428, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57747, "fields": {"project": 232, "organisation": 429, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectorganisation", "pk": 57746, "fields": {"project": 232, "organisation": 430, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
Created
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[{"model": "core.projectorganisation", "pk": 57745, "fields": {"project": 232, "organisation": 431, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
Created
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[{"model": "core.projectorganisation", "pk": 57744, "fields": {"project": 232, "organisation": 432, "role": "COLLAB_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
Created
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[{"model": "core.projectorganisation", "pk": 57743, "fields": {"project": 232, "organisation": 2207, "role": "LEAD_ORG"}}]
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| April 11, 2022, 3:44 a.m. |
Created
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[{"model": "core.projectperson", "pk": 35444, "fields": {"project": 232, "person": 352, "role": "FELLOW_PER"}}]
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| April 11, 2022, 3:44 a.m. |
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[{"model": "core.projectperson", "pk": 35443, "fields": {"project": 232, "person": 351, "role": "COI_PER"}}]
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| April 11, 2022, 3:44 a.m. |
Created
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[{"model": "core.projectperson", "pk": 35442, "fields": {"project": 232, "person": 352, "role": "PI_PER"}}]
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| April 11, 2022, 1:46 a.m. |
Updated
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{"title": ["", "Geometric Mechanics of Solids: new analysis of modern engineering materials"], "description": ["", "\nThe cost and safety of the important elements of our life - energy, transport, manufacturing - depend on the engineering materials we use to fabricate components and structures. Engineers need to answer the question of how fit for purpose is a particular component or a system: a pressure vessel in a nuclear reactor; an airplane wing; a bridge; a gas turbine; at both the design stage and throughout their working life. The current cost of unexpected structural failures, 4% of GDP, illustrates that the answers given with the existing engineering methods are not always reliable. These methods are largely phenomenological, i.e. rely on laboratory length- and time-scale experiments to capture the overall material behaviour. Extrapolating such behaviour to real components in real service conditions carries uncertainties. The grand problem of current methods is that by treating materials as continua, i.e. of uniformly distributed mass, they cannot inherently describe the finite nature of the materials aging mechanisms leading to failure. If we learn how to overcome the constraint of the lab-based phenomenology, we will be able to make predictions for structural behaviour with higher confidence, reducing the cost of construction and maintenance of engineering assets and thus the cost of goods and services to all individuals and society. For example, by extending the life of one civil nuclear reactor the produced electricity each hour will cost £10k-15k less than from a new built nuclear reactor, or from a conventional power plant.\nThis project is about the creation of a whole new technology for high-fidelity design and assessment of engineering structures. I will explore an original geometric theory of solids to overcome the phenomenological constraint, produce a pioneering software platform for structural analysis, validate the theory at several length scales, and demonstrate to the engineers how the new technology solves practical problems for which the present methods are inadequate. \nIn contrast to the classical methods, the engineering materials will be seen as discrete collections of finite entities, or cells; importantly this is not a discretization of a continuum, such as those used in the current numerical methods, but a reflection of how materials organise at any length scale of observation - from atomic through to the polycrystalline aggregates forming engineering components. The cellular structure is characterised by distinct elements - cells, faces, edges and nodes - and the theory proposes an inventive way to describe how such a structure behaves by linking energy and entropy to the geometric properties of these elements - volumes, areas, lengths, positions. This theory will be implemented in a highly efficient software platform by adopting and modernising existing algorithms and developing new ones for massively parallel computations, which will enable engineers and scientists to exploit the impending acceleration in hardware power. With the expected leaps of computing power over the next five years (1018 operations per second by 2020) the new technology will allow for calculating the behaviour of engineering components and structures zooming in and out across length-scales from the atomic up to the structural. The verification and validation of the theory at multiple length-scales are now possible due to exceptionally powerful experimental techniques, such as lab- or synchrotron-based tomography, combined by image analysis techniques, such as digital volume correlation. Once verified, the technology will be applied to a series of engineering problems of direct industrial relevance, such as cleavage and ductile fracture and fatigue crack growth, providing convincing demonstrations to the engineering community. The product of the work will make a step change in the modelling and simulation of structures, suitable for the analysis of high value, high risk high reward engineering cases.\n\n"], "extra_text": ["", "\n\nPotential Impact:\nImportant industries, such as energy, manufacturing, construction and transport, can reduce the cost of their products and services by improved analysis of their engineering systems and structures. For example, advanced knowledge of the life-long behaviour of a particular component can improve its design and reduce the cost of its manufacturing. Scientifically-underpinned methods can demonstrate for how long a component, already in service, will be fit for purpose. To a large extend, the current engineering practices for design and assessment have reached their limits of applicability due to inherent difficulties to incorporate new experimentally derived knowledge at length scales below the classical laboratory size specimens - from single crystals down to individual atoms. This proposal is about resolving these inherent difficulties by a new theory of solids, and providing an unique computational platform by which experimental evidence across the length scales can be incorporated to provide high-fidelity assessments of structural performance.\nI am offering a step change in capability over a 10-20 year period that will open up all the benefits of high-fidelity structural design. This is not a replacement for routine finite element analysis, but a much more sophisticated approach that will suit certain high value, high risk, high reward situations - the life extension of power plant, ageing aircraft, energy efficient designs for low environmental impact, new materials for specialist applications, to name a few. In one specific case, the low-carbon nuclear energy sector will benefit in the UK and internationally, with impact on environmental sustainability and protection. New understanding and predicting degradation of plant components in Advanced Gas-cooled Reactors and Pressurised Water Reactors (PWR) are relevant to the UK ONR, EdF Energy NG, as well as world-leading engineering consultancy companies, such as AMEC FW. The new-build programme also involves PWR and Boiling Water Reactor systems, where this research and development will inform more efficient inspection planning. Improved design methods, underpinned by this project's outputs, will increase the confidence in structural integrity and improve the monitoring of material ageing. In another case, the vendors of scientific and engineering software will benefit internationally with a positive impact on the knowledge society evolution and job generation. The prominent vendors of engineering software, members of NAFEMS, are presently engaged in incremental improvements of well-established numerical methods, such as the finite element method. In the majority of the cases the software platforms are not capable of taking full advantage of the expected leaps in computing power. The development of a new software platform, directly for massively parallel computations, will create significant opportunities for growth of scientific and engineering software vendors, such as Simpleware, and start-up companies, such as PlayGen. \nThe postdoctoral researchers will gain unique skills, benefiting from the cross-disciplinary approach with close links between theory, software and engineering applications. Planned academic collaborations will enhance the profile and influence of the team by sharing original theoretical advances, innovative modelling tools, important insights into real-world phenomena, and by giving exposure to wider networks of academic partners. Further impact will be ensured by publications in international journals and conferences relevant to advanced materials, engineering structural integrity and computational modelling of materials. The outputs will be disseminated to industry and its stakeholders through interactions with the steering board members and own networks, and through workshops. The general public will be engaged via active participation in science festivals.\n\n\n"], "status": ["", "Active"]}
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| April 11, 2022, 1:46 a.m. |
Added
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{"external_links": [597]}
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| April 11, 2022, 1:46 a.m. |
Created
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[{"model": "core.project", "pk": 232, "fields": {"owner": null, "is_locked": false, "coped_id": "cfbdd3c1-f299-406d-a5d2-2b5d980ab551", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 1097, "created": "2022-04-11T01:29:10.887Z", "modified": "2022-04-11T01:29:10.887Z", "external_links": []}}]
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