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Research on joint parameter inversion for an integrated underground displacement 3D measuring sensor.

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This study introduces a new joint inversion method for simultaneous underground horizontal and vertical displacement monitoring. The method accurately predicts sensor measurements, proving robust and efficient for geological disaster and geotechnical project evaluation.

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Area of Science:

  • Geotechnical Engineering
  • Geological Disaster Monitoring
  • Sensor Technology

Background:

  • Underground displacement monitoring is crucial for assessing geological hazards and geotechnical projects.
  • Existing instruments struggle to simultaneously measure subsurface horizontal and vertical displacements due to complexity and invisibility.
  • Previous research established a novel underground displacement 3D measuring sensor and its theoretical basis.

Purpose of the Study:

  • To present an innovative joint inversion method for simultaneously determining underground horizontal and vertical displacements.
  • To enable joint inversion for a previously developed 3D underground displacement sensor.
  • To validate the robustness and efficiency of the proposed inversion method.

Main Methods:

  • Developed a joint inversion method combining a specific forward modeling approach with an approximate optimization inversion procedure.
  • Utilized comparative studies between measured and inverted displacement parameters under various experimental and inverse conditions.
  • Simulated three distinct underground displacement monitoring scenarios.

Main Results:

  • The joint inversion method successfully achieved simultaneous inversion of underground horizontal and vertical displacements.
  • When measured displacements varied between 0-30 mm, inversion discrepancies were generally below 3 mm for horizontal and 1 mm for vertical displacements.
  • The method demonstrated robustness and efficiency across simulated monitoring circumstances.

Conclusions:

  • The proposed underground displacement joint inversion method is effective for the 3D sensor.
  • The method accurately predicts underground horizontal and vertical displacements.
  • This approach offers a robust and efficient solution for subsurface displacement monitoring challenges.