UKERC Energy Data Centre: Projects

Projects: Projects for Investigator
UKERC Home >> UKERC Energy Data Centre >> Projects >> Choose Investigator >> All Projects involving >> EP/S03661X/1
 
Reference Number EP/S03661X/1
Title Intelligent Structures for Low Noise Environments
Status Started
Energy Categories FOSSIL FUELS: OIL, GAS and COAL(Oil and Gas, Other oil and gas) 10%;
ENERGY EFFICIENCY(Transport) 10%;
RENEWABLE ENERGY SOURCES(Wind Energy) 10%;
RENEWABLE ENERGY SOURCES(Ocean Energy) 10%;
NOT ENERGY RELATED 60%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Physics) 50%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor S Daley
No email address given
Sch of Engineering
University of Southampton
Award Type Standard
Funding Source EPSRC
Start Date 01 December 2018
End Date 30 November 2023
Duration 60 months
Total Grant Value £1,703,189
Industrial Sectors Manufacturing
Region South East
Programme Business Partnerships Fund
 
Investigators Principal Investigator Professor S Daley , Sch of Engineering, University of Southampton (99.991%)
  Other Investigator Dr SR (Stephen ) Turnock , School of Engineering Sciences, University of Southampton (0.001%)
Dr M Ghandchi Tehrani , School of Engineering Sciences, University of Southampton (0.001%)
Dr S Abu-Sharkh , School of Engineering Sciences, University of Southampton (0.001%)
Dr IA (Ian ) Ashcroft , Mechanical, Materials and Manufacturing Engineering, University of Nottingham (0.001%)
Dr CJ Tuck , Mechanical, Materials and Manufacturing Engineering, University of Nottingham (0.001%)
Dr E Lester , Chemical and Environmental Engineering, University of Nottingham (0.001%)
Professor RJ Hague , Faculty of Engineering, University of Nottingham (0.001%)
Dr J Cheer , Sch of Engineering, University of Southampton (0.001%)
Dr I Zazas , Sch of Engineering, University of Southampton (0.001%)
  Industrial Collaborator Project Contact , BAE Systems Integrated System Technologies Limited (0.000%)
Project Contact , Lloyd's Register EMEA (0.000%)
Web Site
Objectives
Abstract Increasing international trade is leading to an explosion in the amount of shipping worldwide, which in turn is increasing the levels of noise pollution in our oceans. This is exacerbated by the large scale of the vessels used with low frequency acoustic radiation from vibrating structures propagating over long distances. The elevated noise and its detrimental impact on sea-life is a significant environmental concern. The power needed to propel such large container vessels is also leading to significant internal habitability issues with associated health and safety concerns. More generally, dwindling natural fuel reserves together with concern over greenhouse gas emissions is leading to a proliferation of offshore and land-based renewable energy generating installations. Such projects are all contributing to increasing noise pollution that in many cases radiates as infrasound (i.e. at frequencies below the threshold of human hearing) that causes unique physiological effects and discomfort in humans. In the automotive sector, similar environmental pressures are leading to lighter material construction and the increasing use of electric power. These trends lead to similar challenges for sound control and in the case of electric vehicles, this involves consideration of the unique psychological effects that cause annoyance that are not present or masked in vehicles powered by internal combustion engines.The primary vision of the work proposed here is to address the low frequency noise mitigation requirement with an ambitious programme of research aimed at the development of a range of energy efficient novel intelligent structures through the holistic combination of tools and techniques from the key distinct disciplines of active and semi-active control, fluid structure interaction, acoustic modeling, signal processing and numerical optimization and additive layer manufacture. An Intelligent Structure is defined here as a structure that integrates structural elements that encompass novel sensors, actuation including morphing materials, energy scavenging and energy storage, printed electronics, data storage, computing and communications; not only as discrete embedded devices but also printed using advanced additive manufacturing techniques. In combination the components deliver behavior and performance that satisfy multiple objectives that could include energy efficiency, fault tolerance, low noise, low vibration and light weight. The proposed partnership will be led by the Noise and Vibration Engineering Department of BAE Systems Maritime and the Institute of Sound and Vibration Research at the University of Southampton (UoS) which brings together a well-established and world leading grouping of expertise in maritime noise and vibration mitigation technologies. Working together with Lloyd's Register (LR), UoS leading expertise in fluid structure interaction and electromechanical design and the world renowned EPSRC Centre for Additive Manufacturing at the University of Nottingham this represents a formidable partnership that will deliver intelligent, energy efficient low noise structures and machines to improve the environment and enhance security and safety across a wide domain of applications
Publications (none)
Final Report (none)
Added to Database 27/03/19