会议论文详细信息
2nd International Symposium on Application of Materials Science and Energy Materials | |
Modeling and Prediction of Effects of Seafloor Sediment on Sound Velocity Based on Multi-parameter Analysis | |
材料科学;能源学 | |
Xiao, Qijun^1 ; Luo, Zhonghui^2 ; Peng, Bin^2 ; Luo, Yongshun^2 ; Wang, Min^2 ; Liu, Yanghua^2 ; Liu, Hanzhang^2 | |
School of Electronic and Electrical Engineering, Zhaoqing University, Zhaoqing, China^1 | |
School of Mechanical and Electronic, Guangdong Polytechnic Normal University, Guangzhou, China^2 | |
关键词: Empirical equations; Modeling and predictions; Physical parameters; Prediction equations; Principal component regression; Seafloor sediments; Southern South China Sea; Theoretical research; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/490/6/062066/pdf DOI : 10.1088/1757-899X/490/6/062066 |
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学科分类:材料科学(综合) | |
来源: IOP | |
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【 摘 要 】
An multi-parameter equation to predict the effects of seafloor sediment on sound velocity is established by means of principal component analysis. The empirical equations in previous reports are analyzed and studied, and calculation errors are also analyzed. The principal component regression model is established based on the data of seafloor sediment of the continental slope in the Southern South China Sea. Theoretical research is performed on the method to eliminate interrelated parameters among the physical parameters affecting the sound velocity and select a f ew independent physical parameters with significant impact on the sound velocity. A three-parameter acoustic speed prediction formula is established with the selected physical parameters, i.e. medium diameter M d(p), porosity n and plastic limitation Wp of sediment of the continental slope in the Southern South China Sea. Study results show that the minimum relative error of predicted value is-3.77% to 4.48%, which is less than that of the traditional prediction equation.【 预 览 】
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Modeling and Prediction of Effects of Seafloor Sediment on Sound Velocity Based on Multi-parameter Analysis | 360KB | ![]() |