Robust Passive Mechanical Filter for Sub-Hertz Seismic Detection on Venus

This study presents a passive mechanical filter designed to enhance sub-Hertz Venusquake detection by shaping the seismic transfer path. The mechanism uses a tunable, high-Q pendulum mounted inside a cylindrical enclosure on a three-ring gimbal to ensure self-leveling and alignment in gravity on uneven terrain. Unlike approaches that rely on broadband digitization and require active control and a stable power supply, this housing–gimbal mechanism performs mechanical filtering for sub-Hz signal amplification and higher frequency attenuation without power. Response spectrum analysis shows that the transmissibility can be tuned to achieve peak sensitivities in the 0.5–0.8 Hz range. When tuned to 50–55 mm pendulum length and under assumed undamping, the pendulum-mounted mechanism improves detectability at best by 10–100× relative to a bare sensor for moderate magnitude (Ms = 3–6) in a 12 h observation window, with signal-to-noise (SNR) ratio of 3, and amplitude spectrum density (ASD) of 10−8 m/s2/√Hz. Furthermore, we extrapolate that the predicted minimum detectable event rates follow Nmmin∝SNR1.2ASD1.2fs0.6, where fs is the quake wave frequency. The damping ratio, considering both structural damping and viscous drag, is estimated to be in the order of 10−3 to 10−2. A probabilistic sensitivity analysis is performed to account for the inherent uncertainty in the spectral mismatch between the narrowband sub-Hz resonance of the designed mechanical filter and the peak frequencies of seismic events; the derived probability model suggests strategies for improving the detection probability in the 0.01–1 Hz range.

Authors

Institutions

Publication Details

Journal
J — Multidisciplinary Scientific Journal
Published
2026-02-13
DOI
https://doi.org/10.3390/j9010006
Primary Topic
Planetary Science and Exploration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Passive Mechanical Filter for Sub-Hertz Seismic Detection on Venus

Cheng‐fu Chen, Mike Ophoff, Nick Samuel
J — Multidisciplinary Scientific Journal
Planetary Science and Exploration
article

Robust Passive Mechanical Filter for Sub-Hertz Seismic Detection on Venus

Cheng‐fu Chen, Mike Ophoff, Nick Samuel
article en

Abstract

This study presents a passive mechanical filter designed to enhance sub-Hertz Venusquake detection by shaping the seismic transfer path. The mechanism uses a tunable, high-Q pendulum mounted inside a cylindrical enclosure on a three-ring gimbal to ensure self-leveling and alignment in gravity on uneven terrain. Unlike approaches that rely on broadband digitization and require active control and a stable power supply, this housing–gimbal mechanism performs mechanical filtering for sub-Hz signal amplification and higher frequency attenuation without power. Response spectrum analysis shows that the transmissibility can be tuned to achieve peak sensitivities in the 0.5–0.8 Hz range. When tuned to 50–55 mm pendulum length and under assumed undamping, the pendulum-mounted mechanism improves detectability at best by 10–100× relative to a bare sensor for moderate magnitude (Ms = 3–6) in a 12 h observation window, with signal-to-noise (SNR) ratio of 3, and amplitude spectrum density (ASD) of 10−8 m/s2/√Hz. Furthermore, we extrapolate that the predicted minimum detectable event rates follow Nmmin∝SNR1.2ASD1.2fs0.6, where fs is the quake wave frequency. The damping ratio, considering both structural damping and viscous drag, is estimated to be in the order of 10−3 to 10−2. A probabilistic sensitivity analysis is performed to account for the inherent uncertainty in the spectral mismatch between the narrowband sub-Hz resonance of the designed mechanical filter and the peak frequencies of seismic events; the derived probability model suggests strategies for improving the detection probability in the 0.01–1 Hz range.

J — Multidisciplinary Scientific JournalVol. 9(1)
University of Alaska Fairbanks (US)
Sustainable cities and communities
Openalex Percentile: Top 55%
Planetary Science and Exploration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.