Inflation–forming method and time-varying performance of Tensairity domes

Tensairity domes are innovative hybrid inflatable structures that fully utilise air-induced prestress to achieve structural efficiency. However, existing research has predominantly focused on the post-inflation state, leaving the critical inflation process insufficiently explored. In this work, an efficient inflation simulation method based on control volume theory was developed. The proposed framework combines both mass flow rate (MFR) control and air pressure control to accurately simulate the deployment of inflatable structures. The method was first applied to a spindle-shaped airbag, successfully capturing its shape change during the inflation process, as demonstrated by a validation test. It was then extended to large-scale Tensairity domes. To accelerate the simulation, the computational MFR was strategically amplified. The dynamic effects resulting from this amplification were quantitatively analysed, and a decoupling strategy for adiabatic inflation and heat exchange was introduced to account for thermal effects. The results demonstrate that the proposed method can achieve precise internal pressure control, and a computational MFR below 55 kg/s is recommended for the inflation simulation. Furthermore, a symmetrical inflation sequence with multiple inflator pumps is recommended to reduce component stress during construction.

Institutions

Publication Details

Journal
Proceedings of the Institution of Civil Engineers - Structures and Buildings
Published
2025-12-19
DOI
https://doi.org/10.1680/jstbu.25.00184
Citations
1
Primary Topic
Structural Analysis and Optimization
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inflation–forming method and time-varying performance of Tensairity domes

1 citations
Proceedings of the Institution of Civil Engineers - Structures and Buildings
Structural Analysis and Optimization
0.95
article

Inflation–forming method and time-varying performance of Tensairity domes

article en
1 citations

Abstract

Tensairity domes are innovative hybrid inflatable structures that fully utilise air-induced prestress to achieve structural efficiency. However, existing research has predominantly focused on the post-inflation state, leaving the critical inflation process insufficiently explored. In this work, an efficient inflation simulation method based on control volume theory was developed. The proposed framework combines both mass flow rate (MFR) control and air pressure control to accurately simulate the deployment of inflatable structures. The method was first applied to a spindle-shaped airbag, successfully capturing its shape change during the inflation process, as demonstrated by a validation test. It was then extended to large-scale Tensairity domes. To accelerate the simulation, the computational MFR was strategically amplified. The dynamic effects resulting from this amplification were quantitatively analysed, and a decoupling strategy for adiabatic inflation and heat exchange was introduced to account for thermal effects. The results demonstrate that the proposed method can achieve precise internal pressure control, and a computational MFR below 55 kg/s is recommended for the inflation simulation. Furthermore, a symmetrical inflation sequence with multiple inflator pumps is recommended to reduce component stress during construction.

Proceedings of the Institution of Civil Engineers - Structures and BuildingsVol. 179(1)
Harbin Institute of Technology (CN), China XD Group (China) (CN), Heilongjiang University (CN)
Decent work and economic growth
Openalex Percentile: Top 18%
Structural Analysis and Optimization
0.95
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.