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Postdoc: HPC Methods for Coupled Fluid/Structure/Control Problems

Postdoc: HPC Methods for Coupled Fluid/Structure/Control Problems
博士后:耦合流体/结构/控制问题的 HPC 方法
批准号:
9625904
负责人:
Charbel Farhat
金额:
$4.62万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-08-15 至 1998-07-31

项目摘要

项目成果

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中文摘要
翻译
气动、结构和控制系统的集成设计对新型商用飞机的开发至关重要。通过数值模拟验证这种设计需要同时求解适当耦合的流体、结构和运动控制方程。因此,综合飞机设计的数值模拟计算量非常大。他们建议开发高性能计算方法来解决这些具有挑战性的问题,并将其应用于斜飞翼(OFW)和企业超音速运输(CST)的研究。OFW之所以引起人们的极大兴趣,是因为它符合最佳的空气动力学和结构组合,并提供了速度和大尺寸。此外,它的控制可能是最具挑战性的。另一方面,CST可能是协和式飞机之后建造的第一架民用超音速飞机。虽然CST的控制可能比OFW的控制要容易,但它仍然需要大量的计算资源。拟进行的研究是多学科的,包括计算流体力学、计算结构力学、动力学和主动控制、应用数学、数值分析、计算机科学和并行处理等几个组成部分。拟议的研究将主要由李培博士进行,在Farhat教授的指导下,在Seebass教授和Lawrence教授的协助下。将提供计算方法和并行处理方面的必要培训,以及所需的计算机资源。
英文摘要
The integrated design of aerodynamic, structural, and control systems is essential to the development of new commercial aircraft. The validation of such a design by numerical simulations requires solving simultaneously the appropriately coupled fluid, structural, and control equations of motion. Consequently, the numerical simulation of an integrated aircraft design is computationally intensive. They propose to develop high performance computational methodologies for addressing such challenging problems, and apply them to the investigation of an Oblique Flying Wing (OFW) and a Corporate Supersonic Transport (CST). The OFW is of great interest because it corresponds to an optimum aerodynamic and structural combination, and offers speed and large size. Moreover its control is likely to be most challenging. On the other hand, the CST is perhaps the first civilian supersonic aircraft that will be built after the Concorde. While the control of the CST can be expected to be less difficult than that of the OFW, it will still demand considerable computational resources. The proposed research is multidisciplinary and includes several components: computational fluid dynamics, computational structural mechanics, dynamics and active control, as well as applied mathematics, numerical analysis, computer science, and parallel processing. The proposed research will be carried out primarily by Dr. Pei Li, under the supervision of Professor Farhat, with the assistance of Professors Seebass and Lawrence. The necessary training in computational methods and parallel processing, and the needed computer resources will be provided.
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