Aerospace applications of optimization under uncertainty

被引：0
|
作者：
Sharon L. Padula
Clyde R. Gumbert
Wu Li
机构：
[1] NASA Langley Research Center,
来源：
Optimization and Engineering | 2006年 / 7卷
关键词：
Aerospace; Reliability; Probabilistic analysis; Robust optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The Multidisciplinary Optimization (MDO) Branch at NASA Langley Research Center develops new methods and investigates opportunities for applying optimization to aerospace vehicle design. This paper describes MDO Branch experiences with three applications of optimization under uncertainty: (1) improved impact dynamics for airframes, (2) transonic airfoil optimization for low drag, and (3) coupled aerodynamic and structures optimization of a 3-D wing. For each case, a brief overview of the problem and references to previous publications are provided. The three cases are aerospace examples of the challenges and opportunities presented by optimization under uncertainty. The present paper will illustrate a variety of needs for this technology, summarize promising methods, and uncover fruitful areas for new research.
引用
收藏
页码：317 / 328
页数：11
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