Get started
Author

John Bennetts

Observed names: Bennetts, John, J Bennetts, J. Bennetts
ORCID: 0000-0002-2741-4495
Observed ORCID: 0000-0002-2741-4495
OpenAlex ID: A5026285387
Combined InSAR and Terrestrial Structural Monitoring of Bridges
2020 · Sivasakthy Selvakumaran, Cristian Rossi, et al. · IEEE Transactions on Geoscience and Remote Sensing · 106
PDF
Quantifying Uncertainty in Visual Inspection Data
2018 · J. Bennetts, G. Webb, et al. · CRC Press eBooks · 22
PDF
Bridge data – what do we collect and how do we use it?
2016 · Bennetts, John, Vardanega, Paul, et al. · Bristol Research (University of Bristol) · 22
PDF
Survey of the use of data in UK bridge asset management
2019 · John Bennetts, Paul J. Vardanega, et al. · Proceedings of the Institution of Civil Engineers - Bridge Engineering · 19
PDF
Using data to explore trends in bridge performance
2018 · J Bennetts, G T Webb, et al. · Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction · 16
PDF
Assessment of load capacity of existing highway bridges
2022 · Jon Shave, John Bennetts · 15
A survey of emerging technologies for the future of routine visual inspection of bridge structures
2022 · D.T. Nepomuceno, P.J. Vardanega, et al. · CRC Press eBooks · 10
PDF
Looking to the future of bridge inspection and management in the UK
2021 · J. Bennetts, S.R. Denton, et al. · CRC Press eBooks · 8
Thermal monitoring of a concrete bridge in London, UK
2020 · David T. Nepomuceno, Graham T. Webb, et al. · Proceedings of the Institution of Civil Engineers - Bridge Engineering · 7
Assessing the Potential Value of a SHM Deployment on a Proposed Footbridge
2018 · David D. T. Nepomuceno, John Bennetts, et al. · Sustainable civil infrastructures · 6
SHM deployments for two bridge structures: Assessing potential value
2022 · D.T. Nepomuceno, P.J. Vardanega, et al. · CRC Press eBooks · 5
PDF
Development of a schema for the remote inspection of bridges
2022 · David T. Nepomuceno, John Bennetts, et al. · Proceedings of the Institution of Civil Engineers - Bridge Engineering · 4
Background to CS 455: The assessment of concrete highway bridges and structures
2021 · Jon Shave, John Bennetts, et al. · Proceedings of the Institution of Civil Engineers - Bridge Engineering · 4
Deep Neural Networks for Visual Bridge Inspections and Defect Visualisation in Civil Engineering
2021 · Julia Bush, Tadeo Corradi, et al. · Repository@Nottingham (University of Nottingham) · 4
PDF
Viability of off-site inspections to determine bridge defect ratings
2021 · D.T. Nepomuceno, P.J. Vardanega, et al. · CRC Press eBooks · 4
Waterloo Bridge Monitoring: Comparing Measurements from Earth and Space
2019 · S. Selvakumaran, G.T. Webb, et al. · ICE Publishing eBooks · 4
PDF
Viability of bridge inspectors determining defect ratings using photographic images
2023 · David T Nepomuceno, Paul J Vardanega, et al. · Infrastructure Asset Management · 3
Analysis of visual inspection data for a sample of highway bridges in the UK
2022 · John Bennetts, Paul J Vardanega, et al. · Proceedings of the Institution of Civil Engineers - Forensic Engineering · 3
Understanding Insar Measurement Through Comparison With Traditional Structural Monitoring - Waterloo Bridge, London
2019 · Sivasakthy Selvakumaran, Graham Webb, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 3
A review of recent research on visual inspection processes for bridges and the potential uses of AI
2024 · P.J. Vardanega, T. Tryfonas, et al. · CRC Press eBooks · 2
Image registration for bridge defect growth tracking
2022 · J. Bush, J. Ninić, et al. · CRC Press eBooks · 2
Half-joint, deck hinge and post-tensioned concrete bridges: risk management and assessment
2021 · Eleanor McDaid, Guan Sing Loh, et al. · Proceedings of the Institution of Civil Engineers - Bridge Engineering · 2
The management of bridges
2019 · John Bennetts · Bristol Research (University of Bristol) · 2
Assessment of shear capacity of bridge beams with non-standard anchorage - an experimental study
2024 · E. Nuti, A. Darby, et al. · CRC Press eBooks
PDF
Deep Neural Networks for visual bridge inspections and defect visualisation in Civil Engineering
2021 · Bush, Julia, Corradi, Tadeo, et al. · Repository@Nottingham (University of Nottingham)
PDF
Works count: 26
Citation count: 273
H-index: 8
I10-index: 7
Year
Topic
Type