The aerodynamic assessment and shotpoint position accuracy of an unmanned aerial vehicle seismic source

ABSTRACT An unmanned aerial vehicle (UAV) seismic source, suitable for complex terrains due to its eco-friendly, cost-effective, and efficient nature, operates by hovering and releasing impact objects to generate seismic waves. The aerodynamic behavior of these impact objects is vital for shotpoint position accuracy and drag magnitude. Excessive drag will result in the loss of seismic source energy, whereas the deviations of shotpoint position will disrupt the geometric structure of the observation system, significantly impacting the quality of seismic data acquisition. Through theoretical calculations, the influencing factors of air resistance and cross-wind deflection are analyzed. Air resistance increases with the increase in mass, cross-sectional area, speed, and drag coefficient. Increasing the mass and throwing height can increase the upper limit of the output, but after the air resistance and gravity are balanced, the output kinetic energy of the drone’s seismic source will no longer increase when the throwing height is increased. Using computational fluid dynamics simulations and field tests, this study examines the aerodynamics of four prevalent impact object designs. The results show that shuttle and spherical structures have the least drag during descent and are less influenced by crosswinds, thus being optimal for this application. Field measurement data are also presented for reference.

Authors

Institutions

Publication Details

Journal
Geophysics
Published
2024-11-03
DOI
https://doi.org/10.1190/geo2023-0674.1
Citations
3
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
2.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The aerodynamic assessment and shotpoint position accuracy of an unmanned aerial vehicle seismic source

Zhenning Ma, Yu Zhao, Zhiyong Wu, Rongyi Qian et al.
3 citations
Geophysics
3D Surveying and Cultural Heritage
2.50
article

The aerodynamic assessment and shotpoint position accuracy of an unmanned aerial vehicle seismic source

Zhenning Ma, Yu Zhao, Zhiyong Wu, Rongyi Qian, Jun Zhang, Yinhu Huang, Xu Liu
article en
3 citations

Abstract

ABSTRACT An unmanned aerial vehicle (UAV) seismic source, suitable for complex terrains due to its eco-friendly, cost-effective, and efficient nature, operates by hovering and releasing impact objects to generate seismic waves. The aerodynamic behavior of these impact objects is vital for shotpoint position accuracy and drag magnitude. Excessive drag will result in the loss of seismic source energy, whereas the deviations of shotpoint position will disrupt the geometric structure of the observation system, significantly impacting the quality of seismic data acquisition. Through theoretical calculations, the influencing factors of air resistance and cross-wind deflection are analyzed. Air resistance increases with the increase in mass, cross-sectional area, speed, and drag coefficient. Increasing the mass and throwing height can increase the upper limit of the output, but after the air resistance and gravity are balanced, the output kinetic energy of the drone’s seismic source will no longer increase when the throwing height is increased. Using computational fluid dynamics simulations and field tests, this study examines the aerodynamics of four prevalent impact object designs. The results show that shuttle and spherical structures have the least drag during descent and are less influenced by crosswinds, thus being optimal for this application. Field measurement data are also presented for reference.

GeophysicsVol. 90(2)
Qinghai University (CN), China University of Geosciences (Beijing) (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
3D Surveying and Cultural Heritage
2.50
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.

The aerodynamic assessment and shotpoint position accuracy of an unmanned aerial vehicle seismic source — Zhenning Ma, Yu Zhao, et al. · Geophysics (2024) | TGRS Research Map | TGRS