• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Computational aeroelastic modelling of airframes and turbomachinery: progress and challenges.

作者信息

Bartels R E, Sayma A I

机构信息

Aeroelasticity Branch, NASA Langley Research Center, Hampton, Hampton, VA 23681-2199, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2007 Oct 15;365(1859):2469-99. doi: 10.1098/rsta.2007.2018.

DOI:10.1098/rsta.2007.2018
PMID:17519199
Abstract

Computational analyses such as computational fluid dynamics and computational structural dynamics have made major advances towards maturity as engineering tools. Computational aeroelasticity (CAE) is the integration of these disciplines. As CAE matures, it also finds an increasing role in the design and analysis of aerospace vehicles. This paper presents a survey of the current state of CAE with a discussion of recent research, success and continuing challenges in its progressive integration into multidisciplinary aerospace design. It approaches CAE from the perspective of the two main areas of application: airframe and turbomachinery design. An overview will be presented of the different prediction methods used for each field of application. Differing levels of nonlinear modelling will be discussed with insight into accuracy versus complexity and computational requirements. Subjects will include current advanced methods (linear and nonlinear), nonlinear flow models, use of order reduction techniques and future trends in incorporating structural nonlinearity. Examples in which CAE is currently being integrated into the design of airframes and turbomachinery will be presented.

摘要

相似文献

1
Computational aeroelastic modelling of airframes and turbomachinery: progress and challenges.
Philos Trans A Math Phys Eng Sci. 2007 Oct 15;365(1859):2469-99. doi: 10.1098/rsta.2007.2018.
2
Turbomachinery computational fluid dynamics: asymptotes and paradigm shifts.
Philos Trans A Math Phys Eng Sci. 2007 Oct 15;365(1859):2553-85. doi: 10.1098/rsta.2007.2021.
3
Computational biology for cardiovascular biomarker discovery.用于心血管生物标志物发现的计算生物学
Brief Bioinform. 2009 Jul;10(4):367-77. doi: 10.1093/bib/bbp008. Epub 2009 Mar 10.
4
Proceedings of the Second Workshop on Theory meets Industry (Erwin-Schrödinger-Institute (ESI), Vienna, Austria, 12-14 June 2007).第二届理论与产业研讨会会议录(2007年6月12日至14日,奥地利维也纳埃尔温·薛定谔研究所)
J Phys Condens Matter. 2008 Feb 13;20(6):060301. doi: 10.1088/0953-8984/20/06/060301. Epub 2008 Jan 24.
5
Current computational modelling trends in craniomandibular biomechanics and their clinical implications.颅颌骨生物力学当前的计算建模趋势及其临床意义。
J Oral Rehabil. 2011 Mar;38(3):217-34. doi: 10.1111/j.1365-2842.2010.02149.x. Epub 2010 Sep 1.
6
Aeroelastic tailoring for aerospace applications.用于航空航天应用的气动弹性剪裁
Heliyon. 2024 Jan 7;10(2):e24151. doi: 10.1016/j.heliyon.2024.e24151. eCollection 2024 Jan 30.
7
Computational fluid dynamics for turbomachinery internal air systems.涡轮机械内部空气系统的计算流体动力学
Philos Trans A Math Phys Eng Sci. 2007 Oct 15;365(1859):2587-611. doi: 10.1098/rsta.2007.2022.
8
NDE in aerospace-requirements for science, sensors and sense.
IEEE Trans Ultrason Ferroelectr Freq Control. 1989;36(6):581-6. doi: 10.1109/58.39107.
9
Kinetic modelling of plant metabolic pathways.植物代谢途径的动力学建模。
J Exp Bot. 2012 Mar;63(6):2275-92. doi: 10.1093/jxb/ers080. Epub 2012 Mar 14.
10
Delivering better power: the role of simulation in reducing the environmental impact of aircraft engines.提高动力效能:模拟在降低飞机引擎环境影响方面的作用。
Philos Trans A Math Phys Eng Sci. 2014 Aug 13;372(2022):20130316. doi: 10.1098/rsta.2013.0316.