During a high-performance regatta, the carbon fiber mast of a 60-meter megayacht fractured without warning. Onboard sensors recorded no anomalies, but the failure was internal. Using 3D scanning with FARO Scene and ultrasonic analysis, a progressive delamination caused by undetected load cycles was mapped. This case illustrates how material fatigue in composites can be invisible to traditional monitoring systems.
Damage mapping: from visual inspection to digital twin πΊοΈ
The traditional methodology for evaluating a composite mast relies on visual inspections and localized impact tests. However, internal delamination is a silent failure that propagates between layers without deforming the surface. In this case, 3D scanning with FARO Scene generated a high-precision point cloud. This geometry was integrated into Ansys Composite PrepPost to simulate stresses using finite elements. The result was a digital twin that replicated the load history and revealed hidden fatigue zones. Rhino with Grasshopper automated the parametric meshing, while Cinema 4D visualized the progression of damage layer by layer.
Can simulation replace real-time sensors? π€
The answer is no, but it can complement them. Sensors measure the present; simulation predicts the future. In this mast, fatigue data not recorded by sensors were reconstructed post-mortem through modal analysis and cyclic loads in Ansys. The lesson is clear: integrating digital twins updated with periodic scans allows anticipating delamination before it becomes critical. For high-value structures like a 60-meter mast, the investment in predictive simulation is cheaper than a catastrophic failure.
As a composites engineer, which finite element simulation methodology do you recommend for detecting the onset and propagation of delamination in carbon laminates subjected to cyclic loads, considering that visual inspectors and conventional ultrasound failed to identify the defect before the catastrophic mast fracture?
(PS: Material fatigue is like yours after 10 hours of simulation.)