Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Electromagnetic Waves’ Impact on Hydraulic Conductivity of Granular Soils

Version 1 : Received: 9 June 2023 / Approved: 9 June 2023 / Online: 9 June 2023 (08:28:03 CEST)

A peer-reviewed article of this Preprint also exists.

Farid, A.; Gunderson, H.; Acharya, R.; Browning, J. Electromagnetic Waves’ Impact on Hydraulic Conductivity of Granular Soils. Geotechnics 2023, 3, 561-583. Farid, A.; Gunderson, H.; Acharya, R.; Browning, J. Electromagnetic Waves’ Impact on Hydraulic Conductivity of Granular Soils. Geotechnics 2023, 3, 561-583.

Abstract

Electromagnetic (EM) waves, used for purposes such as geophysical characterization, impact properties to be measured. This paper describes the effects of radio frequency (RF) waves on the hydraulic conductivity of glass beads and natural sand. A series of tests were conducted using a customized, rigid-wall, cylindrical permeameter inside a resonant cavity made of Plexiglas covered with electrically conductive transparent films. Constant head ASTM-D2434 [1] tests were performed to measure the samples’ hydraulic conductivity. RF stimulation was performed using a magnetically coupled loop antenna at a constant frequency of 726 MHz and input power levels of 10, 25, 40, and 50 Watts. The hydraulic conductivity of both natural sand and glass-bead samples increased with RF stimulation. Furthermore, measurement of the electric-field component of RF waves was also performed to illustrate the pattern of the electric field as well as evaluate the RF impact on the hydraulic conductivity tests. The electric field was numerically simulated and validated against experimentally measured electric fields. A finite-difference numerical model was developed in MATLAB to analyze the seepage flow, which was then validated against the experimental results. An optimization scheme was then used to develop a governing equation for the RF impact on hydraulic conductivity.

Keywords

hydraulic conductivity; sand; seepage; electromagnetic; forward model; optimization

Subject

Engineering, Civil Engineering

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