Zebei Mao , Ziping Li , Boyang Chen , Hang Ge , Yonghui Xu , Junqi Wang , Xinmin Chen
{"title":"充气翼力学性能预测方法及屈曲破坏机理","authors":"Zebei Mao , Ziping Li , Boyang Chen , Hang Ge , Yonghui Xu , Junqi Wang , Xinmin Chen","doi":"10.1016/j.ast.2025.110304","DOIUrl":null,"url":null,"abstract":"<div><div>With the advancement of aerospace technology, inflatable wings (renowned for their lightweight design and rapid deployment capabilities) have emerged as a promising solution for unmanned aerial vehicle rapid-response missions and extreme lightweight requirements. However, their reliability and safety under extreme conditions or sudden loads remain significant challenges, particularly due to limited research on buckling failure mechanisms. This study systematically investigates the load-bearing characteristics and failure evolution patterns of inflatable wings under internal pressure regulation through combined experimental and simulation approaches. Utilizing a self-developed lever-type loading platform, full-scale static loading experiments were conducted on inflatable wings under 10–35 kPa internal pressures, quantitatively revealing a linear correlation between internal pressure and structural stability. Experimental results demonstrate that wing bending stiffness and critical buckling loads increase linearly with inflation pressure. An explicit dynamic model based on membrane elements was proposed, achieving precise predictions of buckling loads (3.0 % error) and bending stiffness (6.89 % error). Analysis indicates that compressive stress on the upper surface skin induces wrinkling waves, while shear strain in the ribs exacerbates stress redistribution, leading to cascading failure from localized to global instability through progressive collapse. The established quantitative relationship model among internal pressure, stiffness, and failure loads provides theoretical support for structural design optimization and dynamic pressure regulation strategies for inflatable wings.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"163 ","pages":"Article 110304"},"PeriodicalIF":5.0000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction method for mechanical properties of inflatable wing and its buckling failure mechanism\",\"authors\":\"Zebei Mao , Ziping Li , Boyang Chen , Hang Ge , Yonghui Xu , Junqi Wang , Xinmin Chen\",\"doi\":\"10.1016/j.ast.2025.110304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the advancement of aerospace technology, inflatable wings (renowned for their lightweight design and rapid deployment capabilities) have emerged as a promising solution for unmanned aerial vehicle rapid-response missions and extreme lightweight requirements. However, their reliability and safety under extreme conditions or sudden loads remain significant challenges, particularly due to limited research on buckling failure mechanisms. This study systematically investigates the load-bearing characteristics and failure evolution patterns of inflatable wings under internal pressure regulation through combined experimental and simulation approaches. Utilizing a self-developed lever-type loading platform, full-scale static loading experiments were conducted on inflatable wings under 10–35 kPa internal pressures, quantitatively revealing a linear correlation between internal pressure and structural stability. Experimental results demonstrate that wing bending stiffness and critical buckling loads increase linearly with inflation pressure. An explicit dynamic model based on membrane elements was proposed, achieving precise predictions of buckling loads (3.0 % error) and bending stiffness (6.89 % error). Analysis indicates that compressive stress on the upper surface skin induces wrinkling waves, while shear strain in the ribs exacerbates stress redistribution, leading to cascading failure from localized to global instability through progressive collapse. The established quantitative relationship model among internal pressure, stiffness, and failure loads provides theoretical support for structural design optimization and dynamic pressure regulation strategies for inflatable wings.</div></div>\",\"PeriodicalId\":50955,\"journal\":{\"name\":\"Aerospace Science and Technology\",\"volume\":\"163 \",\"pages\":\"Article 110304\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerospace Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S127096382500375X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S127096382500375X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
Prediction method for mechanical properties of inflatable wing and its buckling failure mechanism
With the advancement of aerospace technology, inflatable wings (renowned for their lightweight design and rapid deployment capabilities) have emerged as a promising solution for unmanned aerial vehicle rapid-response missions and extreme lightweight requirements. However, their reliability and safety under extreme conditions or sudden loads remain significant challenges, particularly due to limited research on buckling failure mechanisms. This study systematically investigates the load-bearing characteristics and failure evolution patterns of inflatable wings under internal pressure regulation through combined experimental and simulation approaches. Utilizing a self-developed lever-type loading platform, full-scale static loading experiments were conducted on inflatable wings under 10–35 kPa internal pressures, quantitatively revealing a linear correlation between internal pressure and structural stability. Experimental results demonstrate that wing bending stiffness and critical buckling loads increase linearly with inflation pressure. An explicit dynamic model based on membrane elements was proposed, achieving precise predictions of buckling loads (3.0 % error) and bending stiffness (6.89 % error). Analysis indicates that compressive stress on the upper surface skin induces wrinkling waves, while shear strain in the ribs exacerbates stress redistribution, leading to cascading failure from localized to global instability through progressive collapse. The established quantitative relationship model among internal pressure, stiffness, and failure loads provides theoretical support for structural design optimization and dynamic pressure regulation strategies for inflatable wings.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
• The study of various systems they are involved in, as supports or as targets.
Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
• Energetics and propulsion
• Materials and structures
• Flight mechanics
• Navigation, guidance and control
• Acoustics
• Optics
• Electromagnetism and radar
• Signal and image processing
• Information processing
• Data fusion
• Decision aid
• Human behaviour
• Robotics and intelligent systems
• Complex system engineering.
Etc.