Experimental study of the ultrasound velocity and attenuation rate and the acoustic emission parameters in structural materials

Roshchupkin, V. V.; Kol’tsov, A. G.; Lyakhovitskii, M. M.; Pokrasin, M. A.; Chernov, A. I.; Минина, Н. А.

doi:10.1134/s0018151x12040190

Cited by 2 publications

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“…Previously, according to the same technique, we inves tigated the acoustic properties of titan alloys [12,13] and construction materials [14]. The technique sets up strong requirements for both the carrier signal genera tion and the geometrical shape of the sample itself.…”

Section: Technique Of Measurements Of the Cobalt Acoustic Propertiesmentioning

confidence: 99%

Investigation of the acoustic properties of cobalt

et al. 2014

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The results of the experimental investigation of the acoustic (ultrasound velocity and attenuation coefficient) and acoustic emission properties, as well as of the relative thermal expansion of cobalt, within the temperature range of 20-1100°C are presented. By the mean square method, we obtain the approximat ing equations for the temperature dependencies of the investigated and the calculated thermophysical cobalt properties.

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Section: Technique Of Measurements Of the Cobalt Acoustic Propertiesmentioning

confidence: 99%

Investigation of the acoustic properties of cobalt

et al. 2014

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Network evolution analysis of nickel futures and the spot price linkage effect based on a distributed lag model

Dong

Gao

Dong

et al. 2019

Int. J. Mod. Phys. B

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In many cases, the correlation between time series has a certain lag effect. To study the lag correlation between two time series variables, we select London Metal Exchange (LME) nickel futures and spot prices from 3 January 2008 to 29 December 2017 as sample data to carry out stationarity tests, cointegration tests and Granger causality tests to determine the stationarity and correlation of two time series. Then, we use the method of combining the distributed lag model and sliding window method to construct a network. We select the best sliding window length through a sensitivity test. The time series is reconstructed into a complex network by taking the types of patterns as the nodes and the conduction relationship between the patterns as the edges. The number of transitions between patterns is defined as the weight of the edge. The results show that the spot price changes are caused by the change in nickel futures price and that the optimal sliding window length is 64. Additionally, 12 types of patterns account for a large proportion of the patterns in the network. Six patterns are the main intermediaries of pattern transmission and appear centrally with the change in the market environment. Therefore, the relationship model between these futures and spot prices has remained stable for a long time. Combining the positive and negative news of the market, we identify the timing of the change in the relationship model and can use this approach to improve the accuracy of early warning methods. This study provides a method to construct a complex network using a distributed lag model, which can help analyze two real time series variables with lag correlation.

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Experimental study of the ultrasound velocity and attenuation rate and the acoustic emission parameters in structural materials

Cited by 2 publications

References 0 publications

Investigation of the acoustic properties of cobalt

Investigation of the acoustic properties of cobalt

Network evolution analysis of nickel futures and the spot price linkage effect based on a distributed lag model

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