Anti-fatigue optimization of the twisting force arm of landing gear based on Kriging approximate sequential optimization method

IF 1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Journal of the Chinese Institute of Engineers Pub Date : 2023-10-30 DOI:10.1080/02533839.2023.2274086
Huan Xie, Guang Yang, Jianxiang Sun, Wei Sai, Wei Zeng
{"title":"Anti-fatigue optimization of the twisting force arm of landing gear based on Kriging approximate sequential optimization method","authors":"Huan Xie, Guang Yang, Jianxiang Sun, Wei Sai, Wei Zeng","doi":"10.1080/02533839.2023.2274086","DOIUrl":null,"url":null,"abstract":"ABSTRACTThe twisting force arm (TFA) is an important part of the pillar landing gear, anti-fatigue optimization on its structure can improve the reliability of the landing gear. However, the optimization accuracy of the conventional optimization method is limited by the basic topological structure from the views of topological theory. Besides that, the optimization efficiency of the conventional method is also relatively low because of the high computational cost of the fatigue life estimation. In this paper, an anti-fatigue optimization method of the TFA was developed to improve the optimization accuracy and efficiency by using the approximate sequential optimization method after an optimal basic topological structure was obtained. To verify its effectiveness, the proposed method was introduced to the anti-fatigue optimization of a pillar landing gear TFA. The results show that the optimization accuracy of the proposed method is higher than the conventional method, and the computational cost can be reduced 82.35%. This indicates that the proposed method can improve the optimization accuracy and efficiency of the anti-fatigue optimization.CO EDITOR-IN-CHIEF: Jeng, Yeau-RenASSOCIATE EDITOR: Jeng, Yeau-RenKEYWORDS: Twisting force armlanding gearKrigingfatigue lifesequential optimization Nomenclature Dj=accumulative fatigue damage under the jth stage loadG0=weight of the TFA after topological optimizationG=weight after anti-fatigue optimizationNj=number of the stress cycles when the failure occurs under the jth stage loadN=fatigue life of the TFAnj=number of the stress cycles under the jth stage loadSE=total strain energy of the design domainSa=stress corresponding to the TFA Sa-N curveTFA=twisting force arm of the pillar landing gearxk=element density in the design domainxi=design variablesximin=low bounds of the design variablesximax=up bounds of the design variablesγ=scatter factor that considering the dispersion of the fatigue lifeωj=ratio that the number of the jth stage stress cycles to the gross number of the stress cyclesσa=stress corresponding to the material S-N curveσmax=maximum Von-Mises stressDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Science Basic Research Plan in Shanxi Province of China, grant number: 2022JM-213, 2022JQ-412, 2021JQ-874.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"61 1","pages":"0"},"PeriodicalIF":1.0000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Chinese Institute of Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02533839.2023.2274086","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACTThe twisting force arm (TFA) is an important part of the pillar landing gear, anti-fatigue optimization on its structure can improve the reliability of the landing gear. However, the optimization accuracy of the conventional optimization method is limited by the basic topological structure from the views of topological theory. Besides that, the optimization efficiency of the conventional method is also relatively low because of the high computational cost of the fatigue life estimation. In this paper, an anti-fatigue optimization method of the TFA was developed to improve the optimization accuracy and efficiency by using the approximate sequential optimization method after an optimal basic topological structure was obtained. To verify its effectiveness, the proposed method was introduced to the anti-fatigue optimization of a pillar landing gear TFA. The results show that the optimization accuracy of the proposed method is higher than the conventional method, and the computational cost can be reduced 82.35%. This indicates that the proposed method can improve the optimization accuracy and efficiency of the anti-fatigue optimization.CO EDITOR-IN-CHIEF: Jeng, Yeau-RenASSOCIATE EDITOR: Jeng, Yeau-RenKEYWORDS: Twisting force armlanding gearKrigingfatigue lifesequential optimization Nomenclature Dj=accumulative fatigue damage under the jth stage loadG0=weight of the TFA after topological optimizationG=weight after anti-fatigue optimizationNj=number of the stress cycles when the failure occurs under the jth stage loadN=fatigue life of the TFAnj=number of the stress cycles under the jth stage loadSE=total strain energy of the design domainSa=stress corresponding to the TFA Sa-N curveTFA=twisting force arm of the pillar landing gearxk=element density in the design domainxi=design variablesximin=low bounds of the design variablesximax=up bounds of the design variablesγ=scatter factor that considering the dispersion of the fatigue lifeωj=ratio that the number of the jth stage stress cycles to the gross number of the stress cyclesσa=stress corresponding to the material S-N curveσmax=maximum Von-Mises stressDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Science Basic Research Plan in Shanxi Province of China, grant number: 2022JM-213, 2022JQ-412, 2021JQ-874.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Kriging近似序贯优化方法的起落架扭转力臂抗疲劳优化
摘要扭转力臂(TFA)是支柱式起落架的重要部件,对其结构进行抗疲劳优化可以提高起落架的可靠性。然而,从拓扑学的角度看,传统优化方法的优化精度受到基本拓扑结构的限制。此外,由于疲劳寿命估算的计算成本较高,传统方法的优化效率也相对较低。在获得最优基本拓扑结构后,采用近似序贯优化方法,提出了一种TFA抗疲劳优化方法,提高了优化精度和效率。为验证该方法的有效性,将其应用于某型柱式起落架TFA的抗疲劳优化中。结果表明,该方法的优化精度高于常规方法,计算量可减少82.35%。这表明该方法可以提高抗疲劳优化的精度和效率。副主编:郑耀仁Dj=第j阶段载荷下的累积疲劳损伤g0 =拓扑优化后的TFA重量g =抗疲劳优化后的重量nj=第j阶段载荷下失效时的应力循环次数n = TFA疲劳寿命j=第j阶段载荷下的应力循环次数se =设计域的总应变能sa = TFA对应的应力Sa-N曲线TFA=扭转力手臂支柱着陆gearxk =元素的密度在设计domainxi =设计variablesximin =低范围的设计variablesximax =设计变量的边界γ=散射因素考虑疲劳寿命的分散ωj =比j阶段压力周期的数量的总数量相对应的应力σ=压力循环材料强度衰减σmax =最大·冯·米塞斯stressDisclosure statementNo潜在的利益冲突是报告的作者(年代)。项目资助:山西省自然科学基础研究计划项目,批准号:2022JM-213, 2022JQ-412, 2021JQ-874。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of the Chinese Institute of Engineers
Journal of the Chinese Institute of Engineers 工程技术-工程:综合
CiteScore
2.30
自引率
9.10%
发文量
57
审稿时长
6.8 months
期刊介绍: Encompassing a wide range of engineering disciplines and industrial applications, JCIE includes the following topics: 1.Chemical engineering 2.Civil engineering 3.Computer engineering 4.Electrical engineering 5.Electronics 6.Mechanical engineering and fields related to the above.
期刊最新文献
Improvement on engineering properties and volumetric stability of alkali-activated slag-based composite cementitious material with rice husk ash and magnesium oxide A block diagram approach to characterize the kinematic and torque relationship of three-port transmission mechanism Experimental investigation of 3D taper profile machining of SS304 using WEDM Study on the effects of season, geographical location, and altitude on thermal characteristics of large airship based on meteorological data Subway station construction parallelly below existing double-cell tunnel without clearance
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1