...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>AIAA Journal >Robust and Reliability-Based Design Optimization Framework for Wing Design
【24h】

Robust and Reliability-Based Design Optimization Framework for Wing Design

机译：基于稳健性和可靠性的机翼设计优化框架

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper outlines an architecture for simultaneous analysis, robustness, and reliability calculations in aircraft wing design optimization. Robust design optimization and reliability-based design optimization are unified in a mixed formulation, which streamlines the setup of optimization problems and aims at preventing foreseeable implementation issues in uncertainty-based design while ensuring that the performance hit of robustness/reliability assessments is kept to a minimum. To avoid the extra computation time that would be the result of a direct evaluation approach to nondeterministic optimization, Kriging surrogate models are employed, and an alternative implementation of the reliability subproblem is also proposed. The sigma point method is used to compute statistical moments in the robust objective function. The computational effort of reliability analysis is further reduced through the implementation of a coordinate change in the respective optimization subproblem to solve for the distance from the current iterate to the most probable point of failure. Robustness and reliability-based optimization is tested on both simple analytic problems and more complex wing design problems, across a range of statistical variation, revealing that performance benefits can still be achieved while obeying precise probabilistic constraints.
机译：本文概述了用于飞机机翼设计优化的同时分析，鲁棒性和可靠性计算的体系结构。稳健的设计优化和基于可靠性的设计优化以混合形式统一在一起，这简化了优化问题的设置，旨在防止基于不确定性的设计中可预见的实施问题，同时确保将鲁棒性/可靠性评估的性能影响保持在最低水平。最低。为了避免因不确定性优化的直接评估方法而导致的额外计算时间，采用了克里格代理模型，并提出了可靠性子问题的另一种实现方式。 σ点方法用于计算鲁棒目标函数中的统计矩。通过在各个优化子问题中实施坐标更改以解决从当前迭代到最可能的故障点的距离，进一步减少了可靠性分析的计算工作量。在一系列统计变化范围内，对简单的解析问题和更复杂的机翼设计问题进行了基于稳健性和可靠性的优化测试，这表明在遵循精确的概率约束的同时仍可以实现性能优势。

著录项

  • 来源
    《AIAA Journal》 |2014年第4期|711-724|共14页
  • 作者

    Ricardo M. Paiva; Curran Crawford; Afzal Suleman;

  • 作者单位

    University of Victoria, Victoria, British Columbia V8P 5C2, Canada, Department of Mechanical Engineering;

    University of Victoria, Victoria, British Columbia V8P 5C2, Canada, Department of Mechanical Engineering;

    University of Victoria, Victoria, British Columbia V8P 5C2, Canada, Department of Mechanical Engineering;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号