5,836 research outputs found

    Study on acoustic emission characteristics of concrete freeze-thaw damage

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    Acoustic emission(AE) technology is a dynamic nondestructive testing technology, which is widely used in structural health monitoring and nondestructive testing. In this paper, based on the AE monitoring method, studies the variation laws of mass loss rate, first wave amplitude and AE characteristic parameters of concrete with different freeze-thaw cycles, and analyzes them with the correlation parameter method. The test results show that with the increase of the number of freeze-thaw cycles, the concrete surface spalling is more serious, the mass loss rate increases, and the amplitude of the first wave decreases, indicating that the internal cracks of the concrete are more obvious and the damage is more serious. The amplitude of AE shows obvious periodicity with the number of freeze-thaw cycles, which is mainly due to the combined action of water migration stress and frost heaving force in the specimen. The analysis results of amplitude energy correlation parameters show that the damage degree of concrete under different freeze-thaw cycles is directly proportional to the amplitude and energy of AE. The results of this paper provide a theoretical reference for the study of concrete dynamic damage

    Quantifying the Influence of Component Failure Probability on Cascading Blackout Risk

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    The risk of cascading blackouts greatly relies on failure probabilities of individual components in power grids. To quantify how component failure probabilities (CFP) influences blackout risk (BR), this paper proposes a sample-induced semi-analytic approach to characterize the relationship between CFP and BR. To this end, we first give a generic component failure probability function (CoFPF) to describe CFP with varying parameters or forms. Then the exact relationship between BR and CoFPFs is built on the abstract Markov-sequence model of cascading outages. Leveraging a set of samples generated by blackout simulations, we further establish a sample-induced semi-analytic mapping between the unbiased estimation of BR and CoFPFs. Finally, we derive an efficient algorithm that can directly calculate the unbiased estimation of BR when the CoFPFs change. Since no additional simulations are required, the algorithm is computationally scalable and efficient. Numerical experiments well confirm the theory and the algorithm
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