Fatigue Durability and Reliability of Functionally Graded Materials

功能梯度材料的疲劳耐久性和可靠性

• 批准号: 0409463
• 负责人: Sharif Rahman
• 金额: --
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0409463&HistoricalAwards=false
• 关键词: Fatigue; Durability; Reliability; Functionally; Graded

FATIGUE DURABILITY AND RELIABILITY OF FUNCTIONALLY GRADED MATERIALSAbstractThe objective of this proposal is to develop new theoretical foundations and numerical algorithms of physics-based stochastic methodology for predicting fatigue durability and reliability of functionally graded materials (FGMs). The proposed effort will be based on: (1) new level-cut Poisson random fields for stochastic modeling of heterogeneous microstructure; (2) new, computationally efficient, level set methods for both micro- and macro-structural fatigue durability analyses; and (3) innovative dimension-reduction methods for second-moment and reliability analyses of FGM subject to random loads, material properties, and geometry. From a fundamental point of view, the project will advance a largely uncharted research area that is concerned with physics-based, multi-scale, stochastic methodology capturing realistic microstructural features, micro- and macro-scale fatigue damage, and resultant cascading effects on stochastic mechanical performance of FGM. To the best knowledge of the PI, no probabilistic models of FGM are known to have been developed. As such, the development of the proposed methodology constitutes a new and significant advance towards the achievement of more realistic fatigue-durability simulation of FGMs.The proposed research will find many high-technology applications involving material performance and structural integrity evaluations under super-high temperatures and large temperature gradients. Potential applications include thermal barrier coating in aircraft propulsion, shape memory alloys in space vehicles, high-performance ballistic components, fast-breeder nuclear reactor pressure vessels, microelectronic devices, bio-engineered implants, and others. Indeed, the research proposed here will positively impact a number of areas of national significance, such as civil and military infrastructure, advanced materials, and information technology. The transfer and dissemination of knowledge created by this project will take place through continued collaboration with industries, organization of symposia on FGM reliability in ASME conferences, peer-reviewed journal publications, presentations and publications at major conferences and institutions, and student education. The partnership with two government and industrial laboratories will enable sharing of important knowledge and experimental data and implementation of the basic methods developed in this project to resolve large-scale industrial problems. The educational goals comprise recruitment of a Ph. D. student from underrepresented minority, implementation of software tools from this project in upgrading courses in The University of Iowa's principal engineering programs, and authoring a comprehensive textbook.

功能分级材料的疲劳耐用性和可靠性本提案的目标是开发基于物理学的随机方法的新理论基础和数值算法，以预测功能分级材料（FGM）的疲劳耐用性和可靠性。 拟议的工作将基于：（1）用于异质微结构随机建模的新级别的泊松随机场； （2）针对微型和宏观结构疲劳耐用性分析的新的，计算高效的水平设定方法； （3）由随机载荷，材料特性和几何形状受到的第二阶段和可靠性分析的创新尺寸还原方法。 从基本的角度来看，该项目将推进一个很大程度上未知的研究领域，该研究领域与基于物理学的，多尺度的随机方法论捕获了逼真的微结构特征，微观和宏观尺度疲劳损害，以及对FGM的随机机械性能的级联效应。 鉴于PI的最佳知识，尚未开发出FGM的概率模型。 因此，提出的方法的发展构成了FGM的更现实的疲劳性耐用性模拟，这是一个新的重要进步。拟议的研究将发现，在超高温度和高温梯度下，许多涉及材料性能和结构完整性评估的高科技应用。 潜在的应用包括飞机推进中的热屏障涂层，太空车辆中的形状记忆合金，高性能的弹道组件，快速生产者核反应堆压力容器，微电子设备，生物工程植入物等。 确实，这里提出的研究将对许多国家意义的领域产生积极影响，例如民用和军事基础设施，高级材料和信息技术。 该项目创造的知识的转移和传播将通过与行业的持续合作，在ASME会议中的FGM可靠性，同行评审的期刊出版物，大型会议和机构的演讲和出版物以及学生教育的持续合作进行。 与两个政府和工业实验室的合作伙伴关系将能够共享重要的知识和实验数据，并实施该项目中开发的基本方法，以解决大规模的工业问题。 教育目标包括从代表性不足的少数群体中招募博士学位，该项目的软件工具的实施，以升级爱荷华大学的主要工程计划的升级课程，并授权一本全面的教科书。