Paper
26 September 2023 Study on shear wave velocity of soil mass in Beijing urban area based on grey correlation and regression analysis
Siyu Meng
Author Affiliations +
Proceedings Volume 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023); 127931N (2023) https://doi.org/10.1117/12.3006747
Event: International Conference on Mechatronics and Intelligent Control (ICMIC2023), 2023, Wuhan, China
Abstract
The test results of shear wave velocity can be applied to many aspects, such as the dynamic parameters of soil in seismic design, the possibility of liquefaction of sandy soil foundation, and the possibility of seismic subsidence of loess foundation; However, due to the influence of soil structure, genesis and other factors, as well as the artificial error in the process of wave velocity test, the shear wave velocity values of the same stratum or the same site also vary greatly. Based on the existing wave velocity data, with the help of statistical analysis tools and taking into account the actual engineering conditions in the project area, the mathematical expression of shear wave velocity can more accurately reflect the actual situation of the soil layer at the construction site. Therefore, whether from the practical work value or theoretical research, it is a very meaningful work to study the statistical law of shear wave velocity. Based on the shear wave velocity data of 170 boreholes (150 shallow holes and 20 deep holes) of multiple construction projects in the urban area of Beijing and the geotechnical test parameters, this paper studies the relationship between shear wave velocity and buried depth, density and other factors using the grey correlation theory, and establishes the empirical formula of shear wave velocity applicable to the urban area of Beijing using statistical tools.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Siyu Meng "Study on shear wave velocity of soil mass in Beijing urban area based on grey correlation and regression analysis", Proc. SPIE 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023), 127931N (26 September 2023); https://doi.org/10.1117/12.3006747
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KEYWORDS
Water content

Soil science

Statistical analysis

Analytical research

Engineering

Correlation coefficients

Linear regression

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