A Flexible Approach for the Design and Analysis of Complex Engineering Systems
A Flexible Approach for the Design and Analysis of Complex Engineering Systems
批准号:
9500046
负责人:
Richard Balling
金额:
$25.59万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-07-01 至 1999-06-30
中文摘要
9500046 Balling该项目的重点是提高复杂工程系统的工程设计效率和有效性。现代工程系统的设计需要工程师和其他广泛学科的参与。通常情况下,这些人没有受过良好的训练,无法作为一个多学科的设计团队一起工作。这个项目的目的是开发算法,有效地接近系统分析和设计。具体地说,是寻求一种方法,使系统可以分解为学科元素,这样设计和分析可以在每个学科中进行,独立于其他相关学科,然后将学科设计结合并迭代成最佳或令人满意的系统设计。方法是引入耦合函数,耦合来自不同学科的分析和设计。通过迭代实现对耦合函数的收敛,期望得到一个最优设计的系统。研究将包括为建议的方法寻找强大的应用方法和简化,以使学科大型和复杂的工程系统的处理成为可能。本研究为设计过程中学科专家的有效参与提供了一种有效的方法。如果成功,它可以提供一种设计方法,比传统方法在更短的时间内实现更优化的设计。
英文摘要
9500046 Balling The focus of this project is on improving the efficiency and effectiveness of engineering design of complex engineering systems. The design of modern engineering systems requires the participation of engineers and others from a wide range of disciplines. Normally, these individuals are not well trained to work together as a multi-disciplinary design team. The purpose of this project is to develop algorithms for efficiently approaching system analysis and design. Specifically, a method is sought whereby a system can be decomposed into disciplinary elements such that design and analysis may proceed within each discipline, independent of the other involved disciplines, and the disciplinary designs then combined and iterated into an optimal or satisfying system design. The approach is to introduce coupling functions, which couple the analyses and designs contributed from the disparate disciplines. Iteration to achieve convergence on the coupling functions is expected to provide an optimally designed system. Research will include the search for robust application methods for the proposed approach and simplification to enable treatment of disciplinary large and complex engineering systems. This research could provide a method for efficiently and effectively engaging disciplinary experts in the process of design. If successful, it could provide an approach to design that leads to more optimal designs in less time than the conventional methods.
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