Abstract
This paper investigates the damage detection of carbon fiber-reinforced polymer cables, which have the advantages of lightweight, high strength, and high corrosion resistance, for applications in engineering fields such as bridges and ropeways using electromagnetic tomography. To provide a solution to the issue of fast, high-quality imaging of carbon fiber-reinforced polymer cables in the presence of noise interference, a scheme for rotational excitation of the sensor array was designed, and an improved fast iterative shrinkage thresholding algorithm combined with total variation regularization was proposed. The imaging quality of carbon fiber-reinforced polymer cables with different damage was evaluated by numerical simulations and experiments. The results demonstrate that with each rotation of the sensor array, it increases the amount of independent measurement information. Furthermore, the proposed improved algorithm achieves a significantly reduced computation time compared to existing algorithms. Specifically, it is approximately 80% faster than Tikhonov’s algorithm and 72% faster than the Landweber algorithm. In addition, it demonstrates enhanced capability in capturing the intricate shape characteristics of damage while reducing the occurrence of artefacts. Finally, the electromagnetic tomography detection system was implemented, and the improved algorithm successfully achieved the damage detection of carbon fiber-reinforced polymer cables.
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