Sensitivity and regression analysis of acoustic parameters for determining physical properties of frozen fine sand with ultrasonic test
2020
- 101Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage101
- Views100
- Downloads1
Dataset Description
(1) Three-factor analysis of variance (ANOVA) Orthogonal tests are an effective means of multi-factor analysis and lend themselves to assessing the impact of relevant factors (Li Y. et al., 2010; Liu Y.Q. et al., 2016). An orthogonal experiment consisting of nine groups—L9(34)—selected three physical properties of frozen fine sand (temperature, density and water content) as factors to study the sensitivity of three acoustic parameters (wave velocity, attenuation coefficient and dominant frequency) to the physical properties. The values of the factors used for the orthogonal test are given in Table 2. Position for Table 2 (2) Control variable test The control variable test included two types of experiment. One had 16 groups of different levels of water content (4.31, 7.31, 10.31 and 13.31%) at a single level of density (1.87g/cm3) to study the relationships between sensitive acoustic parameters and physical properties (water content and temperature). The other had 16 groups of differ...
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