A Theoretical Model to Predict Both Horizontal Displacement and Vertical Displacement for Electromagnetic Induction-Based Deep Displacement Sensors

摘要: Deep displacement observation is one basic means of landslide dynamic study and early warning monitoring a key part engineering geological investigation. In our previous work, we proposed novel electromagnetic induction-based deep sensor (I-type) to predict horizontal theoretical model called equation-based equivalent loop approach (EELA) describe its sensing characters. However in many related cases, both vertical vary apparently dynamically so may require monitoring. this study, II-type designed by revising I-type simultaneously monitor the variations at different depths within sliding mass. Meanwhile, new modeling numerical integration-based (NIELA) has been quantitatively depict sensors’ mutual inductance properties with respect predicted displacements displacements. After detailed examinations comparative studies between measured voltage, NIELA-based EELA-based inductance, NIELA verified be an effective quite accurate analytic for characterization sensors. The widely applicable on all kinds landslides other geohazards satisfactory estimation accuracy calculation efficiency.