Advancing sustainable health: Design and optimization of high-performance inflatable structures through theoretical and experimental approaches

In response to the increasing demand for sustainable practices to address challenges in aging populations, this study advances sustainable healthcare by focusing on fall prevention strategies. A mathematical model was developed to simulate the dynamics of human body motion during falls, establishing a framework for designing effective preventive measures. Investigating the properties of nylon fabrics, we identified 20-denier (20D) fabric as optimal for air-resistance airbags due to its minimal pore size and extensive coverage area of 93.89 %, ensuring high air retention and resource efficiency. Our analysis of material characteristics, geometries, sizes, and inflation levels revealed that enhanced fabric coverage significantly improves the airbag's structural integrity and protective efficiency. Static compression tests demonstrated the airbags' capacity to safely withstand forces up to 26 N without compromising mobility, adhering to cleaner production principles by reducing waste through injury prevention. Dynamic impact tests confirmed the airbags’ ability to absorb a full 5 Joule impact within 1.2 s, effectively preventing ground contact and providing substantial cushioning. By integrating air-resistance technology into wearable safety devices, this research highlights a sustainable approach to enhancing elderly mobility, reducing healthcare burdens, and minimizing environmental impacts through preventive care.

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Publication Details

Journal
Sustainable Futures
Published
2025-11-08
DOI
https://doi.org/10.1016/j.sftr.2025.101461
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
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article

Advancing sustainable health: Design and optimization of high-performance inflatable structures through theoretical and experimental approaches

Shuo Zhao, Yiyong Yang, Zhaoyong Dong, Yaming Jiang et al.
Sustainable Futures
Textile materials and evaluations
article

Advancing sustainable health: Design and optimization of high-performance inflatable structures through theoretical and experimental approaches

Shuo Zhao, Yiyong Yang, Zhaoyong Dong, Yaming Jiang, Yu Wang, Guanzhen Dong, Yangqing Huang
article en

Abstract

In response to the increasing demand for sustainable practices to address challenges in aging populations, this study advances sustainable healthcare by focusing on fall prevention strategies. A mathematical model was developed to simulate the dynamics of human body motion during falls, establishing a framework for designing effective preventive measures. Investigating the properties of nylon fabrics, we identified 20-denier (20D) fabric as optimal for air-resistance airbags due to its minimal pore size and extensive coverage area of 93.89 %, ensuring high air retention and resource efficiency. Our analysis of material characteristics, geometries, sizes, and inflation levels revealed that enhanced fabric coverage significantly improves the airbag's structural integrity and protective efficiency. Static compression tests demonstrated the airbags' capacity to safely withstand forces up to 26 N without compromising mobility, adhering to cleaner production principles by reducing waste through injury prevention. Dynamic impact tests confirmed the airbags’ ability to absorb a full 5 Joule impact within 1.2 s, effectively preventing ground contact and providing substantial cushioning. By integrating air-resistance technology into wearable safety devices, this research highlights a sustainable approach to enhancing elderly mobility, reducing healthcare burdens, and minimizing environmental impacts through preventive care.

Sustainable FuturesVol. 10
Tiangong University (CN)
Openalex Percentile: Top 71%
Textile materials and evaluations
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Advancing sustainable health: Design and optimization of high-performance inflatable structures through theoretical and experimental approaches — Shuo Zhao, Yiyong Yang, et al. · Sustainable Futures (2025) | TGRS Research Map | TGRS