Gavin Sailor
School of Mechanical, Aerospace and Civil Engineering
Research Associate
g.sailor@sheffield.ac.uk
Sir Frederick Mappin Building (Broad Lane Building)
Full contact details
Gavin Sailor
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
Sheffield
S1 3JD
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
Sheffield
S1 3JD
- Publications
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Journal articles
- Sparse representation for artefact/defect localization with an acoustic array on a mobile pipe inspection robot. Applied Acoustics, 231, 110545-110545.
- Reconstruction of the frequency-wavenumber spectrum of water waves with an airborne acoustic Doppler array for non-contact river monitoring. IEEE Transactions on Geoscience and Remote Sensing, 62. View this article in WRRO
- Cloud-based artificial intelligence analytics to assess combined sewer overflow performance. Journal of Water Resources Planning and Management, 149(10). View this article in WRRO
- Low frequency attenuation of acoustic waves in a perforated pipe. The Journal of the Acoustical Society of America, 153(3), 1791-1801. View this article in WRRO
- Robot localization in water pipes using acoustic signals and pose graph optimization.. Sensors, 20(19).
- Predicting combined sewer overflows chamber depth using artificial neural networks with rainfall radar data.. Water Sci Technol, 69(6), 1326-1333.
- Experimental and numerical investigation of interactions between above and below ground drainage systems. Water Science and Technology.
Conference proceedings
- Low frequency attenuation of acoustic waves using sound-soft scatterers. INTER-NOISE and NOISE-CON Congress and Conference Proceedings (pp 4941-4949). Glasgow, Scotland, 21 August 2022 - 21 August 2022. View this article in WRRO
- Acoustic and Ultrasonic Characterisation of Blockages and Defects in Underground Pipes. 2021 IEEE Sensors (pp 1-4), 31 October 2021 - 3 November 2021.
- Application Of Artificial Neural Networks To Assess CSO Performance
- FIBRE-OPTIC SENSING FOR ANALYSIS OF TURBULENT PRESSURE FLUCTUATIONS IN PARTIALLY FILLED PIPES. Acoustics 2024, 12 September 2024 - 13 September 2024.
- Predicting CSO chamber depth using Artificial Neural Networks with rainfall radar data. SPN7 7th International Conference on Sewer Processes & Networks (IWA). Sheffield, 28 August 2013 - 30 August 2013.
- Sparse representation for artefact/defect localization with an acoustic array on a mobile pipe inspection robot. Applied Acoustics, 231, 110545-110545.