Abstract
The accurate monitoring and assessment of the stress state for steel strands is essential to ensure the safe service of engineering structures. In this study, the metal magnetic memory (MMM) technique was innovatively employed to assess the stress in steel strands. The MMM measurement experiments under tensile loads of the 8 steel strands were conducted. The variation laws of the Hz signals (the normal component of MMM signals) with tensile loads were analyzed from theoretical analysis and experimental results. The quantitative exponential relationship between the evaluation index Iσ and the tensile load F was proposed, and the mean value of the goodness-of-fit was 0.943. Finally, based on the Bayesian method, the stress in steel strands was quantitatively assessed via the normalized index G from the perspective of probabilistic statistics. The mean value of the posterior probability reached 67.9%. This study provides a new method for stress assessment of steel strands.
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