Remote Sensing (Feb 2023)

Calibration of Acoustic-Soil Discrete Element Model and Analysis of Influencing Factors on Accuracy

  • Shenghai Huang,
  • Caiyun Lu,
  • Hongwen Li,
  • Jin He,
  • Qingjie Wang,
  • Panpan Yuan,
  • Jing Xu,
  • Shan Jiang,
  • Dong He

DOI
https://doi.org/10.3390/rs15040943
Journal volume & issue
Vol. 15, no. 4
p. 943

Abstract

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To obtain accurate soil parameters and improve the accuracy of the acoustic-soil discrete element simulation model, we studied the model’s parameter calibration. The simulation test was carried out using the measured acoustic velocity and dominant frequency as the response value (index). Firstly, the Plackett—Burman test scheme was used to obtain the sensitivity ranking of soil parameters to the dominant frequency and velocity of the acoustic wave. The parameters that significantly affect the acoustic wave were obtained: Shear modulus, Poisson’s ratio, and coefficient of restitution. Then the Box—Behnken test scheme was used to establish the regression relationship between the dominant frequency and the velocity of the sound wave and Shear modulus, Poisson’s ratio, and Coefficient of restitution. The results shows that the indexes that researchers focus on are different in different scenarios, and the sensitivity of soil parameters to different indicators is different, which results in different soil parameter values after calibration. This study analyzed the main factors affecting the accuracy of the acoustic-discrete element model in constructing the model, provided a method for improving the construction accuracy of the acoustic wave—soil discrete element model and provided a reference for the construction of discrete elements models in other fields.

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