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MatrixTwin: Structural Health Monitoring Digital Twin

Harnessing the power of digital models to enhance hardware capabilities

Our Digital Twin represents the cutting edge in structural health condition monitoring, offering a new level of accuracy and precision in defect detection. We combine analytical physics-based models with both numerical Finite Element Models (FEM), and statistical AI models into a single platform that revolutionises the way our clients can understand and address component integrity.

In the world of Long Range Ultrasonic Testing (LRUT), one of the most significant challenges is dealing with the distortion caused by complex component geometries, such as bends and branches. While a pulse of ultrasound travels along a straight pipe with low and predictable distortions, it undergoes significant and non-linear distortions when traversing through changes in cross section or bends, making it impossible to detect small defects using conventional LRUT approaches. This is where our Digital Twin approach comes into play, to accurately predict the signal distortions and correctly compensate.

We craft a model of your pipe's unique geometry. This model is a digital replica of your physical pipes, enabling us to simulate precisely how ultrasound will propagate within them. By accounting for every contour, curve, and bend, MAtrixTwin provides us with an accurate understanding of how the ultrasound will interact with the pipe's structure. This understanding is paramount for compensating and correcting the distortions that occur around bends.

Our competitors might struggle to detect defects as small as those we can find, but we don't merely find them; thanks to our MatrixInsights platform, we see them clearly and quantify their size and geometry. This allows defect severity to be estimated, and enables a risk-based maintenance approach to be taken, allowing downtime to be minimised and planned in advance.

With this technology, we ensure that no defect, no matter how minute, escapes our detection, ultimately enhancing the safety and efficiency of your operations.

Delivered in partnership with

Light Of Data

As the UK's national authority on the future of Fusion power, UKAEA provides invaluable industry insights, funding, and thought leadership.

And supported by

digiLab

Machine Learning
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UKAEA

National fusion power research body
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