David White
Papers
5
Total Citations
42
H-Index
3
About
David White’s research sits at the intersection of offshore geotechnics, robotics, and autonomous systems, with a clear mission to accelerate the design and construction of offshore wind infrastructure. His major contributions center on developing novel robotic tools for in-situ ground characterisation—most notably the ROBOCONE, a robotic cone penetration test (CPT) module that directly measures lateral soil-pile interaction parameters. This innovation promises to replace slow, lab-dependent design processes with real-time field data, potentially shaving years off offshore wind project timelines. White’s work on the Autonomous Riser Inspection System (ARIS) for floating wind turbine cables addresses a critical failure risk in the energy transition. His most-cited paper (15 citations) introduces ARIS, while a 2024 paper on lateral bearing factors in clay (14 citations) provides engineers with practical stiffness parameters for foundation design. A 2025 paper (9 citations) offers an interpretative framework for drained sands, tackling the challenge of end effects in CPT testing. White’s research is not only technically rigorous but also industry-facing—his 2016 case study on earthwork haul-truck cycle-time monitoring demonstrates early engagement with autonomous construction technologies. His work is shaping how the offshore wind sector characterises ground conditions, directly supporting global decarbonisation goals.
Research Focus
Key Achievements
Top Papers
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- 5Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study2 citations · 2016