Globally, national infrastructure is facing significant challenges: - Ageing assets: Much of the UK's existing infrastructure is old and no longer fit for purpose. In its State of the Nation Infrastructure 2014 report the Institution of Civil Engineers stated that none of the sectors analysed were "fit for the future" and only one sector was "adequate for now". The need to future-proof existing and new infrastructure is of paramount importance and has become a constant theme in industry documents, seminars, workshops and discussions. - Increased loading: Existing infrastructure is challenged by the need to increase load and usage - be that number of passengers carried, numbers of vehicles or volume of water used - and the requirement to maintain the existing infrastructure while operating at current capacity. - Changing climate: projections for increasing numbers and severity of extreme weather events mean that our infrastructure will need to be more resilient in the future. These challenges require innovation to address them. However, in the infrastructure and construction industries tight operating margins, industry segmentation and strong emphasis on safety and reliability create barriers to introducing innovation into industry practice. CSIC is an Innovation and Knowledge Centre funded by EPSRC and Innovate UK to help address this market failure, by translating world leading research into industry implementation, working with more than 40 industry partners to develop, trial, provide and deliver high-quality, low cost, accurate sensor technologies and predictive tools which enable new ways of monitoring how infrastructure behaves during construction and asset operation, providing a whole-life approach to achieving sustainability in an integrated way. It provides training and access for industry to source, develop and deliver these new approaches to stimulate business and encourage economic growth, improving the management of the nation's infrastructure and construction industry. Our collaborative approach, bringing together leaders from industry and academia, accelerates the commercial development of emerging technologies, and promotes knowledge transfer and industry implementation to shape the future of infrastructure. Phase 2 funding will enable CSIC to address specific challenges remaining to implementation of smart infrastructure solutions. Over the next five years, to overcome these barriers and create a self-sustaining market in smart infrastructure, CSIC along with an expanded group of industry and academic partners will: - Create the complete, innovative solutions that the sector needs by integrating the components of smart infrastructure into systems approaches, bringing together sensor data and asset management decisions to improve whole life management of assets and city scale infrastructure planning; spin-in technology where necessary, to allow demonstration of smart technology in an integrated manner. - Continue to build industry confidence by working closely with partners to demonstrate and deploy new smart infrastructure solutions on live infrastructure projects. Develop projects on behalf of industry using seed-funds to fund hardware and consumables, and demonstrate capability. - Generate a compelling business case for smart infrastructure solutions together with asset owners and government organisations based on combining smarter information with whole life value models for infrastructure assets. Focus on value-driven messaging around the whole system business case for why smart infrastructure is the future, and will strive to turn today's intangibles into business drivers for the future. - Facilitate the development and expansion of the supply chain through extending our network of partners in new areas, knowledge transfer, smart infrastructure standards and influencing policy.

This is network proposal that gathers all the national expertise in rotary wing systems: The Vertical Lift Network (VLN). The network addresses technical problems for a special class of vehicles powered by direct lift: conventional helicopters, compound helicopters, tilt-rotors, fan-in-wing vehicles, unmanned air vehicles powered by rotors. It is recognised that no single academic institution has expertise and test facilities to take on these new challenges. Several initiatives in Europe (CleanSky, Horizon 2020, national research programmes in Germany, France, Italy, The Netherlands), the USA (NASA, Boeing, Sikorsky), Russia (TSAGI, MAI, KAI) and possibly also China (CARDC) could undermine the competiveness of the UK. Countries such as Japan (JAXA), Korea (KARI) are also gaining momentum. The proposal brings together expertise across the full spectrum of aerospace engineering, including aerodynamics, computational fluid dynamics, wind tunnel testing, aeroelasticity, aeroacoustics, materials, control systems, power systems, flight dynamics, handling qualities, and systems engineering. Due to this multi-disciplinarity, leading-edge research initiatives can only be addressed by pooling resources together to create critical mass. No single organisation has the know-how to address the upcoming technology challenges. The academic network is to work closely with the industry and government stakeholders to identify the strategic directions of research in the next decade. Other key objectives include the promotion of scientific collaboration, the identification of the funding sources, training of students and scientific dissemination via an annual workshop.

This project considers active vibration control of parametrically excited systems (PES). The problem is to develop control strategies for the suppression, or enhancement, of parametric resonances in engineering systems. Active control has the potential to control large amplitudes of vibration and modify the dynamics of the system very efficiently. It is particularly suitable for PES since the dynamics of PES are periodic-time dependent. The appearance of the periodic-time-dependent parameter in the dynamic equation results in a complex response including inherent instabilities, or combined resonances of summed or difference type. Understanding the dynamics of PES and its control is thus the main objective of this research. The control strategy that will be used for PES is based on the receptance method developed by the applicant for linear time-invariant systems. The method has significant advantages, since there is no requirement for knowledge of system matrices, no requirement for model reduction techniques and no requirement for observers to estimate the unmeasured states. The method is entirely based on the measured vibration data; therefore the dynamics of the actuators, sensors and filters are all included in the design of the controller. Other control strategies based on the Floquet theory will also be developed. The control techniques will be implemented on a cable-supported structure, representing a cable-stayed bridge, to demonstrate the practical application of the active control on PES. Many engineering structures are subjected to parametric excitation, which is produced by some external loads interacting with the structure. In civil engineering, Aratsu Bridge in Southern Japan is an example where parametric resonance was the origin of the cracks close to the anchorages. Parametric resonance occurs when the structural frequency coincides with a specific ratio of the parametric excitation frequency. For instance in the Skarnsundet Bridge in Norway, a vertical deck frequency was exactly twice the fundamental cable frequency. Vibration control can be achieved by moving the structural frequency away from that specific ratio using pole placement techniques. In aerospace, parametric resonance can cause flutter of airplane wings due to the interaction of the wing with the aerodynamic loads. Recently, a fatal accident occurred involving a prototype of a business jet due to the tail-plane flutter, and the research aims to develop methods by which such instability can be controlled. In marine engineering, parametric resonance can occur in riser systems due to the interaction of the risers with surface waves. The undesirable dynamic behaviour of these risers can be avoided using tension control. If parametric excitation is not included in the design of these risers, the wave induced vibration can result in instability and even catastrophic failure, thereby causing severe environmental and economic damage so that a more flexible method of active control would make the system safer. The research will also be beneficial in the design of the energy converters such as floaters since it can enhance the parametric resonance, which is used to extract significant amount of power from the wave energy.

BAE Systems with the support of EPSRC have launched a challenge to universities to develop novel technologies that can be applied to new and aspirational aircraft programmes. In particular, the Persistent Green Air Vehicle (PERGAVE) concept is a future unmanned air vehicle (UAV), not yet an aircraft design, which can sustain missions of at least months' and ultimately more than a year's duration. In this respect, PERGAVE is a highly flexible HALE (High Altitude Long Endurance) aircraft, with vibration and aeroelastic characteristics specific to each PERGAVE design concept. Methodologies have been developed by NASA to predict flight dynamics of HALE aircraft. An operational profile such as this will require extremely low energy demands from on-board systems to meet both the endurance and environmental targets. It will also require comprehensive condition monitoring of structures and systems (e.g. vibration and loading) as well as environmental parameter measurement (e.g. temperature, ionizing radiation levels and doses) to allow operators to assess the viability of the aircraft at every stage of its mission. This project will respond to the PERGAVE challenge by developing energy harvesting powered wireless data links and real time condition and environmental sensor nodes in an integrated smart composite airframe structure for monitoring. The nodes will operate in an energy autonomous manner, without the need for power supplies or batteries and therefore it is truly energy autonomous. The research has the following five work packages: WP1: Requirement capture and study of the system design specifications and architecture WP2: Integration of the energy harvesting element into the composite structure WP3: Multiphysical modelling and simulation for optimisation of the whole system WP4: Development of low power consumption wireless sensor nodes WP5: Testing of the technology demonstrator The WPs will specifically target design and demonstration of a deployable real time energy autonomous wireless sensing communication systems that can be used for structural health monitoring and environmental parameter measurement aligned to the next generation, unmanned air vehicle programme in BAE Systems. Uniquely in the UK, this work will take a system level specification and design approach combining optimisation with novel energy harvesting technology designed for flexible deployment in manufactured composite structures with wireless sensing, which are all integrated in a novel energy and power management architecture. This provides end-to-end capability that will be suitable not only for the PERGAVE vehicle but also for other applications requiring remote asset condition monitoring in harsh environments (e.g. off-shore wind farms). The principal novelty of the project lies in the implementation of combined materials and structures design, optimisation and manufacturing processes, our enhanced energy harvesting technology and efficient energy-aware and energy-flow control mechanism, which has the potential to be prototyped as a self-powered, light weight and wireless health monitoring system for future air vehicles. The research will build on investigator track records on energy harvesting with wireless sensing, sensors and aerospace monitoring, and composite manufacturing at Cranfield University, aircraft and composite structural modelling and optimization at Lancaster University, and ionizing radiation monitoring at the University of Central Lancashire to undertake this timing and challenging project. The project partners are BAE Systems in Military Air&Information and Advanced Technology Centre, AgustaWestland Ltd, TRW, dstl, EPSRC National Centres for Innovative Manufacturing in Through-life Engineering Services. These partners represents aerospace, defence and automotive sectors. There are Aerospace, Aviation & Defence KTN and Zartech organisations as dissemination partners to support the impact activities.

The aim of this proposal is to transform the design and manufacture of structural systems by relieving the bottleneck caused by the current practice of restricting designs to a linear dynamic regime. Our ambition is to not only address the challenge of dealing with nonlinearity, but to unlock the huge potential which can be gained from exploiting its positive attributes. The outputs will be a suite of novel modelling and control techniques which can be used directly in the design processes for structural systems, which we will demonstrate on a series of industry based experimental demonstrators. These design tools will enable a transformation in the performance of engineering structural systems which are under rapidly increasing demands from technological, economic and environmental pressures. The performance of engineering structures and systems is governed by how well they behave in their operating environment. For a significant number of engineering sectors, such as wind power generation, automotive, medical robotics, aerospace and large civil infrastructure, dynamic effects dominate the operational regime. As a result, understanding structural dynamics is crucial for ensuring that we have safe, reliable and efficient structures. In fact, the related mathematical problems extend to other modelling problems encountered in other important research areas such as systems biology, physiological modelling and information technology. So what exactly is the problem we are seeking to address in this proposal? Typically, when the behaviour of an engineering system is linear, computer simulations can be used to make very accurate predictions of its dynamic behaviour. The concept of end-to-end simulation and virtual prototyping, verification and testing has become a key paradigm across many sectors. The problem with this simulation based approach is that it is built on implicit assumptions of repeatability and linearity. For example, many structural analysis methods are based on the concept of a frequency domain charaterisation, which assumes that response of the system can be characterised by linear superposition of the response to each frequency seperately. But, the response of nonlinear systems is known to display amplitude dependence, sensitivity to transient effects in the forcing, and potential bistability or multiplicity of outcome for the same input frequency. As a result, when the system is nonlinear (which is nearly always the case for a large number of important industrial problems) it is almost impossible to make dynamic predictions without introducing very limiting approximations and simplifications. For example, throughout recent history, there have been many examples of unwanted vibrations; Failure of the Tacoma Narrows bridge (1940); cable-deck coupled vibrations on the DongTing Lake Bridge (1999); human induced vibration on the Millennium Bridge (2000); NASA Helios failure (2003); Coupling between thrusters and natural frequencies of the flexible structure on the International Space Station (2009); Landing gear shimmy. In many cases, the complexity of modern designs has outstripped our ability to understand their dynamic behaviour in detail. Even with the benefit of high power computing, which has enabled engineers to carry out detailed simulations, interpreting results from these simulations is a fundamental bottleneck, and it would seem that our ability to match experimental results is not improving, due primarily to the combination of random and uncertain effects and the failure of the linear superposition approach. As a result a new type of structural dynamics, which fully embraces nonlinearity, is urgently needed to enable the most efficient design and manufacture of the next generation of engineering structures.