EAGER: Analyzing Multi-scale and Multi-unit Methodologies

EAGER：分析多尺度和多单元方法

• 批准号: 1016785
• 负责人: Donald Saari
• 金额: $ 30万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-12-01 至 2012-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1016785&HistoricalAwards=false
• 关键词: EAGER; Analyzing; Multi; scale; unit

The objective of this Early-Concept Grant for Exploratory Research (EAGER) project is to create new methodologies and approaches that will uncover the source of difficulties that plague a wide spectrum of engineering projects including multiscale and multilevel projects and to create ways that will provide relief for the difficulties. The discovered answers will identify how and why crucial information needed for convergence of, say, multidisciplinary optimization (MDO) projects, or computer simulations, or even industrial production can be hampered by inefficiencies and even failure of projects. Once the answers of these standard engineering approaches are identified, ways will be explored to circumvent the difficulties (that have proved to be costly in many areas of engineering). While the focus of this research is directed toward questions and difficulties caused by hidden structural defects of commonly used engineering methodologies (such as those characterized by multiscale and multilevel approaches), these divide-and-conquer approaches also are being used to "tame complexity" in many other disciplines ranging from engineering to physics to the biological sciences and even to economics and social sciences. As a result, fundamental results found by this research are expected to have an impact on all of these areas. As an example, the question of dark matter in astronomy appears to be a natural area outside of engineering in which results developed in this project can be tested.

探索性研究早期概念资助（EAGER）项目的目标是创建新的方法和途径，以揭示困扰包括多尺度和多层次项目在内的各种工程项目的困难来源，并创造缓解困难的方法。发现的答案将确定如何以及为什么多学科优化（MDO）项目或计算机模拟甚至工业生产的融合所需的关键信息会受到项目效率低下甚至失败的阻碍。一旦确定了这些标准工程方法的答案，将探索规避困难的方法（在许多工程领域已证明是昂贵的）。虽然这项研究的重点是针对隐藏的结构缺陷所造成的问题和困难，常用的工程方法（如多尺度和多层次的方法），这些分而治之的方法也被用来“驯服复杂性”在许多其他学科，从工程到物理学的生物科学，甚至经济学和社会科学。因此，本研究发现的基本结果预计将对所有这些领域产生影响。例如，天文学中的暗物质问题似乎是工程学之外的一个自然领域，在这个项目中开发的结果可以进行测试。