Projects
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| Reference Number | EP/X027392/1 | |
| Title | USES of novel Ultrasonic and Seismic Embedded Sensors for the non-destructive evaluation and structural health monitoring of critical infrastructure | |
| Status | Started | |
| Energy Categories | Other Cross-Cutting Technologies or Research 15%; Renewable Energy Sources (Wind Energy) 5%; Not Energy Related 70%; Hydrogen and Fuel Cells (Hydrogen, Hydrogen storage) 5%; Nuclear Fission and Fusion (Nuclear Fission) 5%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr AJ Croxford No email address given Mechanical Engineering University of Bristol |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 February 2024 | |
| End Date | 31 January 2028 | |
| Duration | 48 months | |
| Total Grant Value | £265,251 | |
| Industrial Sectors | ||
| Region | South West | |
| Programme | UKRI MSCA | |
| Investigators | Principal Investigator | Dr AJ Croxford , Mechanical Engineering, University of Bristol (100.000%) |
| Web Site | ||
| Objectives | ||
| Abstract | Detecting degradation that endangers the safety and impairs availability of infrastructure and components is currently the task of schedule-driven Non-Destructive Evaluation (NDE), this process is however costly and disruptive. The attractive alternative is to use condition based Structural Health Monitoring (SHM). Current, SHM typically uses sensors that provide local information only, which may be insufficient for detecting interior degradation or require very dense networks. Furthermore, the performance of both in-situ sensing systems and algorithms to process and interpret the sensor data is reduced when subject to Environmental and Operational Conditions (EOC). This limits their large-scale deployment. USES2 will develop and combine novel emerging sensing technologies (optical fibre and wireless pieozoelectric sensors), advanced processing (compressed sensing, artificial intelligence) and full-mechanical-waveform-based imaging to tackle these issues. Key to this cross-disciplinary work is a new generation of researchers with skills across sensing and signal processing. They will be trained with a unique combination of "hands-on" multidisciplinary research demonstrators, industrial placements, and courses /workshops on scientific and transferable skills. All of which is facilitated by the broad intersectoral composition of the consortium. USES2 will produce world class researchers expert in innovative sensing solutions, advanced mechanical wave processing and robust EOC compensation methods. Their skills will be embodied in a series of laboratory demonstrators and in situ industrially relevant experiments spanning three key sectors of European industry: energy (power plants (nuclear, wind), hydrogen storage, pipeline networks for fuel exploration and transport), mobility for citizens (aircraft, automotive industry) and construction (urban subsurface soil, infrastructures) | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 01/05/24 | |
