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Lloyd's Register Group Limited is a technical and business services organisation and a maritime classification society, wholly owned by the Lloyd’s Register Foundation, a UK charity dedicated to research and education in science and engineering. The organisation dates back to 1760 Wikipedia.


Tan H.,Lloyds Register
Journal of the Mechanics and Physics of Solids | Year: 2016

Implant-associated infection, a serious medical issue, is caused by the adhesion of bacteria to the surface of biomaterials; for this process the surface roughness is an important property. Surface nanotopography of medical implant devices can control the extent of bacterial attachment by modifying the surface morphology; to this end a model is introduced to facilitate the analysis of a nanoscale smooth surface subject to mechanical loading and in vivo corrosion. At nanometre scale rough surface promotes friction, hence reduces the mobility of the bacteria; this sessile environment expedites the biofilm growth. This manuscript derives the controlling equation for surface roughness evolution for metallic implant subject to in-plane stresses, and predicts the in vivo roughness changes within 6 h of continued mechanical loading at different stress level. This paper provides analytic tool and theoretical information for surface nanotopography of medical implant devices. © 2016 Elsevier Ltd Source


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: SST.2013.4-2. | Award Amount: 4.22M | Year: 2013

In the day-to-day ship operations, structural and machinery failures may lead to major accidents, endangering crew and passengers lives onboard, posing a threat to the environment, damaging the ship itself and having a great impact in terms of business losses. Moreover, with the introduction and building of a big number of new ships, their monitoring and inspection from both regulatory bodies and Classification Societies has become more and more difficult in order to obtain the optimum inspection results and eliminating the hazards posed by high-risk and sub-standard ships. In this respect, the INCASS (Inspection Capabilities for Enhanced Ship Safety) project brings together a range of experienced and dedicated partners in order to tackle the issue of ship inspection, identification of high-risk ships, providing access to information related to ship surveys independent of the ships flag and inspection regime and moreover incorporate enhanced and harmonised cooperation of maritime stakeholders in order to avoid ship accidents, promote maritime safety and protect the environment. The INCASS consortium aims to bring an innovative solution to the ship inspection regime through the introduction of enhanced inspection of ship structures based on robotic platforms, providing ship structures and machinery monitoring with real time information using intelligent sensors and incorporate Structural and Machinery Risk Analysis. Moreover, by introducing Condition Based inspection tools and methodologies, reliability and criticality based maintenance, providing an enhanced Central Database including ship structures and machinery available to maritime authorities (e.g. EMSA, Port State Control), Classification Societies and ship operators and eventually by developing a Decision Support System for ship structures and machinery for continuous monitoring and risk analysis and management of ship operations.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: MG-4.2-2014 | Award Amount: 10.16M | Year: 2015

Maritime disasters in recent years are a stark reminder of the imperative need for timely and effective evacuation of large passenger ships during emergency. The Lynceus2Market project addresses this challenge through delivering a revolutionary operational system for safe evacuation based on innovative people localisation technologies. The system consists of: 1) Localisable life jackets that can provide passenger location in real-time during emergency 2) Smart smoke detectors that also act as base stations of an on-board localisation system 3) Innovative localisable bracelets able to send activity data to the emergency management team 4) Low cost fire and flooding escalation monitoring sensor notes 5) novel mustering handheld devices for automatic identification and counting of passengers during evacuation 6) Smart localisable cabin key cards 7) Intelligent decision support software able to fuse all localisation, activity and disaster escalation data to provide an integrated real-time visualisation, passenger counting and evacuation decision support 8) Innovative shore or ship-launched Unmanned Aerial Vehicle for localising people in the sea in short time and assisting search and rescue operations when accident occurs in extreme weather, during the night or in a remote location 9) Low-cost rescue-boat mounted radars for people localisation in the vicinity of the boat. The proposed project is based on the promising results developed in the FP7 LYNCEUS project where the innovative technologies were tested in lab and in small scale pilots. Lynceus2Market brings together European global players in the field, such as cruise ship owners, operators, ship builders, maritime equipment manufacturers, a classification society, industry associations and important technology organisations with the aim to implement the first market replication of these technologies and products. The Lynceus2Market will create significant impact by saving passenger lives during maritime accidents.


Grant
Agency: GTR | Branch: EPSRC | Program: | Phase: Training Grant | Award Amount: 3.94M | Year: 2014

The achievements of modern research and their rapid progress from theory to application are increasingly underpinned by computation. Computational approaches are often hailed as a new third pillar of science - in addition to empirical and theoretical work. While its breadth makes computation almost as ubiquitous as mathematics as a key tool in science and engineering, it is a much younger discipline and stands to benefit enormously from building increased capacity and increased efforts towards integration, standardization, and professionalism. The development of new ideas and techniques in computing is extremely rapid, the progress enabled by these breakthroughs is enormous, and their impact on society is substantial: modern technologies ranging from the Airbus 380, MRI scans and smartphone CPUs could not have been developed without computer simulation; progress on major scientific questions from climate change to astronomy are driven by the results from computational models; major investment decisions are underwritten by computational modelling. Furthermore, simulation modelling is emerging as a key tool within domains experiencing a data revolution such as biomedicine and finance. This progress has been enabled through the rapid increase of computational power, and was based in the past on an increased rate at which computing instructions in the processor can be carried out. However, this clock rate cannot be increased much further and in recent computational architectures (such as GPU, Intel Phi) additional computational power is now provided through having (of the order of) hundreds of computational cores in the same unit. This opens up potential for new order of magnitude performance improvements but requires additional specialist training in parallel programming and computational methods to be able to tap into and exploit this opportunity. Computational advances are enabled by new hardware, and innovations in algorithms, numerical methods and simulation techniques, and application of best practice in scientific computational modelling. The most effective progress and highest impact can be obtained by combining, linking and simultaneously exploiting step changes in hardware, software, methods and skills. However, good computational science training is scarce, especially at post-graduate level. The Centre for Doctoral Training in Next Generation Computational Modelling will develop 55+ graduate students to address this skills gap. Trained as future leaders in Computational Modelling, they will form the core of a community of computational modellers crossing disciplinary boundaries, constantly working to transfer the latest computational advances to related fields. By tackling cutting-edge research from fields such as Computational Engineering, Advanced Materials, Autonomous Systems and Health, whilst communicating their advances and working together with a world-leading group of academic and industrial computational modellers, the students will be perfectly equipped to drive advanced computing over the coming decades.


Grant
Agency: Cordis | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2014-ETN | Award Amount: 3.70M | Year: 2015

The growth of cities, impacts of climate change and the massive cost of providing new infrastructure provide the impetus for this proposal entitled Training in Reducing Uncertainty in Structural Safety (TRUSS) which will maximize the potential of infrastructure that already exists. If flaws in a structure can be identified early, the cost of repair will be vastly reduced, and here an effective monitoring system would allow identifying the optimum time to repair as well as improving structural safety. But safety is difficult to quantify and requires a deep understanding of the uncertainty associated to measurements and models for the structure and the loads. TRUSS will gather this understanding by bringing together an intersectoral and multidisciplinary collaboration between 4 Universities, 11 Industry participants and 1 research institute from 6 European countries. The consortium will combine and share expertise to offer training at an advanced level as new concepts for monitoring, modelling and reliability analysis of structures are emerging all the time. TRUSS will make knowledge of structural safety grow by incorporating these emerging technologies (hi-tech monitoring and manufacturing, computing, etc.) into the training programme and it will support job creation by enabling a wider talent pool of skilled and accredited engineering graduates with business, entrepreneurship, communication, project management and other transferrable skills. The training programme will be structured into taught modules combined with original research supported by secondments that will expose 14 fellows to both academia and industry. While developing tools that will reduce uncertainty in structural safety and improve infrastructure management, TRUSS will lay the basis for an advanced doctoral programme that will qualify graduates for dealing with the challenges of an aging European infrastructure stock, thereby enhancing their career prospects in both industry and academia.

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