[3A5] Realistic model-based reliability estimation of guided wave monitoring systems

P Xu¹, P Huthwaite¹ and R Jones²
¹Imperial College London, UK
²Guided Ultrasonics Ltd, UK 

The reliability estimation of guided wave monitoring systems is a vital step to facilitate their widespread deployment in industry. In the context of structural health monitoring (SHM), guided wave signals tend to be affected by varying environmental and operational conditions (EOCs), which may mask the signals from the presence of defects and hence reduce the reliability of the system. Experiment-based reliability estimation is prohibitively expensive to achieve and it is nearly impossible to cover a statistically wide range of EOCs, while model-based reliability estimation is a promising alternative solution for that. The effectiveness of the model-based reliability estimation relies on the fidelity of the model, which is required to represent the influence of the varying EOCs.

This talk will present a numerical framework to synthesise highly realistic guided wave signals based on the finite element (FE) simulation of pipes with complex features taking into consideration the uncertainties faced during pipe monitoring, such as variations of transducer coupling conditions and temperature variations. In addition, the reliability of a guided wave SHM system, estimated based on the realistic simulation signals, will be compared with that based on a simplified simulation model without considering any uncertainties. The synthesis of highly realistic guided wave signals makes it possible to estimate the reliability of a guided wave SHM system in a more versatile and effective manner, which allows for the accounting of a wider spectrum of EOCs without limitation to specific geometries.

Keywords: guided waves, structural health monitoring, model-based reliability estimation.