Collaborative Research: Assessment of Optimization as a Structural Framework for the Detailed Design of Large-Scale Engineered Complex Systems

协作研究：作为大规模工程复杂系统详细设计结构框架的优化评估

• 批准号: 1130222
• 负责人: Brian German
• 金额: $ 23.9万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1130222&HistoricalAwards=false
• 关键词: Collaborative; Research; Assessment; Optimization; Structural

The objective of this collaborative research project is to assess multidisciplinary optimization (MDO) methods as coordinating frameworks for the systems engineering process during the detailed design of large-scale complex systems. Systems engineering is the process that coordinates the integration of many design teams within a large project. The research addresses simultaneous optimization of the system design and the systems engineering process itself. The emphasis of the work is on the detailed design phase, in which an organization is divided along component lines rather than by engineering discipline, and the design of thousands of components occur in parallel. The research will first investigate payoff measures of the system in a relevant context and formulate these measures into optimization objectives and constraints. Next, several MDO methods will be examined for their potential to facilitate systems engineering process coordination, and formal metrics will be established to measure effectiveness of the methods. These methods will be assessed using a simulation of the design of a gas turbine engine as a representative example of a large-scale complex system. The simulation will include both physics-based analyses and behavioral models that describe the action of component design teams in response to different process coordination approaches. The engineering effort devoted to detailed design in systems such as aircraft significantly exceeds the effort expended on the earlier phases of conceptual and preliminary design. If successful, this research can potentially introduce improved ways of organizing the detailed design of large-scale complex systems to reduce cost overruns and schedule delays. The research program may also reinvigorate the study of MDO in a new and meaningful way. To encourage continued research in this area, a graduate seminar course on the applicability of MDO to systems engineering management will be created, employing the simulation as a pedagogic aid.

这个合作研究项目的目标是评估多学科优化（MDO）方法作为协调框架的系统工程过程中的大型复杂系统的详细设计。系统工程是协调一个大型项目中多个设计团队的集成的过程。 该研究解决了系统设计和系统工程过程本身的同时优化。 工作的重点是在详细设计阶段，在此阶段，组织是沿着沿着组件线而不是按照工程学科划分的，并且数千个组件的设计是并行进行的。 本研究将首先在相关的背景下研究系统的回报措施，并将这些措施制定为优化目标和约束。 接下来，几个MDO方法将检查其潜力，以促进系统工程过程的协调，并建立正式的指标来衡量方法的有效性。 这些方法将使用燃气涡轮机发动机的设计模拟作为一个大型复杂系统的代表性例子进行评估。 模拟将包括基于物理的分析和行为模型，描述组件设计团队响应不同流程协调方法的行为。 在系统（如飞机）的详细设计中，工程工作量大大超过了在概念设计和初步设计的早期阶段所花费的工作量。 如果成功的话，这项研究可能会引入改进的方法来组织大型复杂系统的详细设计，以减少成本超支和进度延迟。 该研究计划也可能以一种新的和有意义的方式重振MDO的研究。 为了鼓励继续在这一领域的研究，将创建一个研究生研讨会课程的适用性MDO系统工程管理，采用模拟作为教学辅助。