Project at a glance
- Client: Atlantis Resources
- Sector: Marine renewable energy
- Location: The UK’s first tidal blade test facility, and the pier at Peterhead
- Date: Two phases, both delivered under Digital Surveys
- Services: Deflection monitoring by 3D laser scanning, 3D deformation assessment, QA & Dimensional Control, as-built modelling, clash detection
The challenge
A tidal turbine blade is a large, doubly curved surface that flexes under load. Traditional deflection measurement attaches contact instruments at a handful of chosen points, and reports movement only at those points. If the blade deforms somewhere the engineer did not instrument, that deformation is not measured. On a prototype, where the deflected shape is exactly the unknown being investigated, that is a significant limitation.
The stab connector posed the opposite problem. Here the requirement was not movement but absolute fidelity. A mating interface has to be modelled tightly enough that the model can be trusted for clash detection, the process of checking new or proposed geometry against existing geometry to find physical conflicts before anything is built or installed. A model that is broadly right is of no use for that. Equipment recovered from the sea is also unlikely to match its drawings exactly, so the design model could not be assumed correct.
Our approach
For the blade 3d deformation testing, the method was a reference scan of the unloaded blade and rig, followed by successive scans at each load stage. Each load-stage scan was compared to the reference as a 3D deviation, giving a maximum deflection for that stage, with sections cut through each test. Because the comparison is surface to surface rather than point to point, the whole blade is measured at every stage, not just the places somebody thought to instrument.
For the stab connector, the turbine was located at Peterhead on the pier. We opted to use a Surphaser laser scanner. The Surphaser provides an unparalleled level of quality and low noise, which makes it ideal for engineering projects. Across the fleet these instruments are specified at range noise of 0.07mm at 10m and range uncertainty of 0.35mm at 5m, capturing up to 40 million points per scan, and we describe them in house as the most accurate tripod based scanner available.
3D Laser Scanning
We carried out 18 laser scans around the turbine. The data was then processed back in the office with each individual 3D laser scan aligned in Leica Cyclone using the cloud-to-cloud method. Cloud-to-cloud registration aligns separate scans into one dataset by matching the overlapping geometry between them, rather than relying on physical survey targets. Our standard practice is to accommodate at least 30% overlap between scans so that there is enough shared surface for the software to lock onto. Due to the incredible accuracy of the Surphaser data, cloud-to-cloud registration works very well: low noise means the surfaces being matched are sharply defined.
Once registered, the data was ready for modelling. Modelling was carried out in Inventor 2013 using the then new native point cloud support, which allows the point cloud to be referenced directly inside the modelling environment rather than converted first. Once completed, the model could be clashed against the existing design model to check for clashes or fabrication discrepancies.
Deliverables
For the blade tests we issued per-scan deviation plots, each with a colour ramp showing the distribution of movement across the surface and a statistics block giving the numbers, plus section views for each test.
For the stab connector we issued the registered point cloud and the as-built Inventor model, ready to be clashed against the design model.
The outcome
Atlantis received quantified, whole-surface deflection results for its blade programme and a measured recovery figure confirming the blades returned to shape after load.
On the turbine, the as-built model gave the engineering team geometry they could trust for interface work, so clashes and fabrication discrepancies against the design model could be identified onshore rather than discovered during a subsea operation. That is the value of measuring what was built instead of trusting what was drawn.
Due to the incredible accuracy of the Surphaser data, cloud to cloud registration works very well.