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CAREER: Designing Flexible Complex Systems with Coupled and Co-Evolving Subsystems under Operational Uncertainties

CAREER: Designing Flexible Complex Systems with Coupled and Co-Evolving Subsystems under Operational Uncertainties
职业:在操作不确定性下设计具有耦合和共同演化子系统的灵活复杂系统
批准号:
1942559
负责人:
Koki Ho
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30

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英文摘要
This Faculty Early Career Development Program (CAREER) grant will address a grand challenge in complex system design: enabling the design of flexible large-scale complex systems under future operational uncertainties in demands, environment, and performance. With growing global trends in increased complexity of engineering systems and their prolonged service lives, staged deployment and co-evolution have become an economic option for the development of such large-scale systems. Deploying the system progressively in stages, starting from affordable stages, enhances flexibility and mitigates potential risks against an unknown and evolving future. A broad range of industries (e.g., public infrastructure, healthcare, aerospace, and defense) suffer from high development costs and large operational uncertainties in the deployment of these systems, however. There is an imperative need for a rigorous built-in flexibility design methodology to optimize and coordinate the flexible subsystem-level design and co-deployment that ensure system-level performance; this problem is extremely challenging due to its prohibitive computational complexity. How can engineers design a flexible complex system with coupled subsystems and its staged deployment plan in a rigorous and scalable way? This program seeks to answer this question in order to transform complex system design and enable systems to adapt effectively to future uncertainties. The program will develop a novel scalable design framework and associated computational techniques for staged deployment optimization of flexible large-scale complex systems by efficiently handling operational uncertainties at the early design stage. The created local scenario discretization scheme offers a unique computationally efficient approach to manage staged co-deployment by decoupling weak dynamic interaction among subsystems. Moreover, the decomposition-based design method introduces an innovative bottom-up staged-deployment design, leading to a parallelizable and more scalable design approach than the traditional top-down approaches. The resulting unified flexible design optimization methodology will bridge the gap between high-level flexibility analysis and detailed-level design decisions. An integrated educational component of the project will directly impact STEM educational curriculum and K-12 outreach activity planning by applying the researched flexible staged-deployment concepts to transform the traditional fixed syllabus-based pedagogy into a flexible and modular one. The developed flexible pedagogy will enable the education and outreach activities to adapt to the diverse and uncertain needs, interests, and backgrounds of the students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(3)
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会议论文
Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
综合空间任务规划和航天器设计的多学科设计优化方法
DOI: 10.2514/1.a35284
发表时间: 2022
期刊: Journal of Spacecraft and Rockets
影响因子: 1.6
作者: [Isaji, Masafumi, Takubo, Yuji, Ho, Koki]
通讯作者: Ho, Koki
DOI: 10.1007/s00158-023-03609-6
发表时间: 2023-06
期刊: Structural and Multidisciplinary Optimization
影响因子: 3.9
作者: [Bayan Hamdan;Zheng Liu;K. Ho;˙I. Esra B¨uy¨uktahtakın;Pingfeng Wang]
通讯作者: Bayan Hamdan;Zheng Liu;K. Ho;˙I. Esra B¨uy¨uktahtakın;Pingfeng Wang
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