Displacement parameter inversion for a novel electromagnetic underground displacement sensor.

Area of Science:

• Geotechnical Engineering
• Geophysics
• Sensor Technology

Background:

• Underground displacement monitoring is crucial for geological hazard prediction.
• Existing methods require advanced techniques for subsurface measurements.
• Previous work developed an H-type electromagnetic sensor and the Equation-based Equivalent Loop Approach (EELA).

Purpose of the Study:

• To present a novel underground displacement inversion approach.
• To deduce underground horizontal displacement using the H-type sensor and EELA.
• To validate the accuracy and robustness of the proposed inversion method.

Main Methods:

• Developed the "EELA forward modeling-approximate inversion method".
• Combined EELA forward simulation with approximate optimization inversion theory.
• Conducted comparative studies between experimental and theoretical displacement values.

Main Results:

• The inversion method achieved a horizontal displacement inversion discrepancy generally less than 3 mm.
• Effective and robust prediction of underground horizontal displacement was demonstrated.
• Performance was validated under varied tilt angles and initial axial distances.

Conclusions:

• The proposed parameter inversion method effectively predicts underground horizontal displacement for the H-type sensor.
• The technique shows applicability for practical geo-engineering applications.
• This advancement contributes to more accurate geological disaster monitoring.