Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (2): 546-557.doi: 10.13278/j.cnki.jjuese.20220271

Previous Articles     Next Articles

Reliability Evaluation of Empirical Formula Between Shear Wave Velocity and Depth of Conventional Soils

Lu Dawei1 ,Sun Yihan2,Liu Hongshuai3   

  1. 1. China Re Catastrophe Risk Management Company Ltd., Beijing 100033, China

    2. Tangshan Thermal Power Group Co., Ltd., Tangshan 063000, Hebei,China

    3. Hebei Technology Innovation Center of Civil Engineering Monitoring and Evaluation, Hebei University, Baoding 071002,

    Hebei,China

  • Online:2024-03-26 Published:2024-04-09
  • Supported by:
    Supported by the Scientific Research Fund of Institute of Engineering Mechanics, China Earthquake Administration (2019EEEVL0202),the Science and Technology Research Project of Higher Education Institutions in Hebei Province (ZD2020157) and the Natural Science Foundation of Hebei Province (E2020201017)

Abstract:

The statistical relationship between shear wave velocity and depth for conventional soil types (“Relationship Between Shear Wave Velocity and Depth of Conventional Soils”,by Liu Hongshuai, et al,power function and one-quadratic model equations in Tables 2 to 5) is a national empirical equation. It has become an important reference for testing and comparing empirical equations in many regions, but lacks a more systematic evaluation of reliability. Therefore, the statistical empirical equation of shear wave velocity and depth in typical domestic regions (Beijing, western Shandong, Chengdu,Tianjin, Changzhou and Wuhan) are selected to test the reliability of the empirical equation of the national shear wave velocity and depth of conventional soils. The results show that: The power function model predicts that the shear wave velocity increases with depth, which is consistent with qualitative understanding, while the quadratic model may exhibit unreasonable bending anomalies and should not be used. The prediction accuracy of the national shear wave velocity empirical equation varies significantly in different regions. In most regions, the absolute relative errors of the prediction for the vast majority of soil types are generally less than ±20%. The absolute relative errors are larger only within 20 m of the near-surface, with a maximum of about 40%. In a few areas, the absolute relative errors of the prediction are greater than 20%. It is recommended to prioritize the selection of shear wave velocity empirical formulas suitable for local conditions; When there is a lack of local equations and it is necessary to choose the national power function type empirical equations for shear wave velocity, it should be tested and confirmed by the local measured data before use; The shear wave velocity within the 20 m range is best determined by actual measurement, which helps to reduce the significant errors brought by the national shear wave velocity empirical formula. 

Key words: conventional soils, shear wave velocity, depth, reliability, empirical equation

CLC Number: 

  • P642.3
[1] Luo Xingang, Wang Wanyin, . Application of Tilt-Euler Method Based on Regularization  in Edge Depth Inversion [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(2): 633-646.
[2] Wang Yanguo, Tian Ye, Deng Juzhi, Ge Kunpeng, Chen Xiao. Magnetic Source Variable Depth Imaging Method Based on Different Order Analytic Signals#br# [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(1): 279-291.
[3] Li Jianhua, Lin Pinrong, Zhang Qiang, Zheng Caijun, Sun Fuwen, Ding Weizhong, Zhou Haitao, , Qi Fangshuai, , Liu Xinzhuo, .

Research and Application of Key Technology of Controlled Source Electromagnetic Method [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(3): 713-724.

[4] Xue Zhigang, Xuan Yihua, Liu Zheng, Dan Zhiwei, Shi Wenying, Qin Hongguo. FWI Guided Q Modeling Technology in Gas Clouds Area [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(2): 613-623.
[5] Yan Baizhong, Sun Fengbo, Li Xiaomeng, Wang Yuqing, Fan Chengbo, Chen Jiaqi. Impact of Climate Change and Human Activities on Groundwater Depth of Gaocheng District in Shijiazhuang City [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(3): 854-863.
[6] Zhou Linfei, Kang Siyu, Zhang Jing. Effects of Different Water Depths on Growth States of Typha Orientalis Presl,Water Quality and Sediment Physical and Chemical Properties [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 231-239.
[7] Liu Jie, Li Lihua, Lin Yueshui, Chen Wei, Li Xiaoming. Depth Erosion and Tracing of Overtopping Landslide Dam Breach [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(6): 1795-1803.
[8] Zheng Yujun, Hou Zhenlong, Gong Enpu, Zhang Yongli. Correlation Imaging Method with Joint Multiple Gravity Gradiometry Data Based on Depth Weighting [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1197-1210.
[9] Li Qicheng, Guo Lei, He Shugeng, Min Ye. An Improved t0 Method for Determining Normal Depth of Refractive Surface [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 905-910.
[10] Han Xue, Yin Changchun, Ren Xiuyan, Liu Yunhe, Zhang Bo, Cai Jing. Research on Exploration Depth of Time-Domain Airborne EM System [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(5): 1448-1456.
[11] Yu Qingyang, Liu Wei, Nie Lei, Dai Shulin. Characteristic Analysis on Stress Ratio of Unsymmetrical Load Tunnel [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(6): 1797-1803.
[12] Li Jianping, Weng Aihua, Li Shiwen, Li Dajun, Li Sirui, Yang Yue, Tang Yu, Zhang Yanhui. 3-D Forward Method for Geomagnetic Depth Sounding Based on Finite Difference Method in Spherical Coordinate [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 411-419.
[13] Shan Gangyi, Han Liguo, Zhang Lihua. Pre-Stack Depth Migration Based on Model Confined Kirchhoff Integration [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 379-383.
[14] Shu Qing, Zhu Xiaoying, Gao Wei, Li Rui, Yin Hang. Aeromagnetic Anomaly Characteristics and Oil-Gas-Bearing Prospecting of Santanghu Basin [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 451-460.
[15] He Chengzhong, Zhang Dehui, Wu Mingqian, Xia Yan, Zhang Rongzhen, Hu Tiejun. Fluid Inclusion of Yaojiagou Porphyry Mo Deposit in Qingchengzi in Liaoning Province [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(6): 1717-1731.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!