Study on the Influence of Soil Parameters on the Cushioning Performance of Landing Airbags

To investigate the influence of soil parameters on the cushioning performance of landing airbags, a landing airbag cushioning dynamics model considering soil characteristics was established based on the control volume method and a crushable foam model. Experimental validation was conducted for both the airbag cushioning model and the soil impact model, respectively, with good consistency between simulated and experimental results. Based on the established model, the influence of soil on the cushioning performance of landing airbags was analyzed. The analysis results indicate that soil absorbs energy through compressive deformation during the cushioning process, thereby exhibiting a certain degree of cushioning performance. Softer soil absorbs more energy, and the payload is less prone to rebound. However, excessively soft soil causes the airbag to sink into the soil, hindering the venting of gas outward and resulting in hard landings for payloads. Therefore, three indicators—airbag peak pressure, payload maximum acceleration, and maximum drop height—are used to comprehensively evaluate the cushioning performance of airbags, and the influence laws of soil parameters are quantitatively researched. The research shows that the soil density, shear modulus, and yield parameters A1 and A2 significantly influence cushioning performance. Specifically, the shear modulus and yield parameter A1 exhibit logarithmic growth relationships with the three cushioning performance indicators, while the yield parameter A2 and soil density show linear growth relationships with the three cushioning performance indicators.

Authors

Institutions

Publication Details

Journal
Aerospace
Published
2026-03-12
DOI
https://doi.org/10.3390/aerospace13030267
Primary Topic
Aerospace Engineering and Energy Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on the Influence of Soil Parameters on the Cushioning Performance of Landing Airbags

Jiang Wang, X.J. Li, Tian Liu, Yuxuan Wang et al.
Aerospace
Aerospace Engineering and Energy Systems
article

Study on the Influence of Soil Parameters on the Cushioning Performance of Landing Airbags

Jiang Wang, X.J. Li, Tian Liu, Yuxuan Wang, Pei Zhang, Xuan Zhou
article en

Abstract

To investigate the influence of soil parameters on the cushioning performance of landing airbags, a landing airbag cushioning dynamics model considering soil characteristics was established based on the control volume method and a crushable foam model. Experimental validation was conducted for both the airbag cushioning model and the soil impact model, respectively, with good consistency between simulated and experimental results. Based on the established model, the influence of soil on the cushioning performance of landing airbags was analyzed. The analysis results indicate that soil absorbs energy through compressive deformation during the cushioning process, thereby exhibiting a certain degree of cushioning performance. Softer soil absorbs more energy, and the payload is less prone to rebound. However, excessively soft soil causes the airbag to sink into the soil, hindering the venting of gas outward and resulting in hard landings for payloads. Therefore, three indicators—airbag peak pressure, payload maximum acceleration, and maximum drop height—are used to comprehensively evaluate the cushioning performance of airbags, and the influence laws of soil parameters are quantitatively researched. The research shows that the soil density, shear modulus, and yield parameters A1 and A2 significantly influence cushioning performance. Specifically, the shear modulus and yield parameter A1 exhibit logarithmic growth relationships with the three cushioning performance indicators, while the yield parameter A2 and soil density show linear growth relationships with the three cushioning performance indicators.

AerospaceVol. 13(3)
Xiangtan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Xiangtan University
Life in Land
Openalex Percentile: Top 24%
Aerospace Engineering and Energy Systems
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.