Fatigue Durability and Reliability of Functionally Graded Materials
功能梯度材料的疲劳耐久性和可靠性
基本信息
- 批准号:0409463
- 负责人:
- 金额:--
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
摘要本文的目的是为功能梯度材料(fgm)的疲劳耐久性和可靠性预测提供新的理论基础和数值算法。建议的工作将基于:(1)用于非均质微观结构随机建模的新的水平切泊松随机场;(2)用于微观和宏观结构疲劳耐久性分析的新的、计算效率高的水平集方法;(3)基于随机载荷、材料特性和几何特性的FGM二次弯矩和可靠性分析的创新降维方法。从基本角度来看,该项目将推进一个很大程度上未知的研究领域,该领域涉及基于物理的、多尺度的、随机的方法,以捕捉真实的微观结构特征、微观和宏观尺度的疲劳损伤,以及由此产生的对FGM随机力学性能的级联效应。据PI所知,目前还没有开发出女性生殖器切割的概率模型。因此,所提出的方法的发展构成了实现更真实的fgm疲劳耐久性模拟的新的重大进展。所提出的研究将发现许多涉及超高温和大温度梯度下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的热障涂层、空间飞行器的形状记忆合金、高性能弹道部件、快速增殖核反应堆压力容器、微电子设备、生物工程植入物等。事实上,这里提出的研究将对一些具有国家意义的领域产生积极影响,如民用和军事基础设施、先进材料和信息技术。该项目创造的知识的转移和传播将通过与工业界的持续合作、在美国机械工程师协会会议上组织关于女性生殖器切割可靠性的专题讨论会、同行评议的期刊出版物、主要会议和机构的演讲和出版物以及学生教育来实现。与两个政府和工业实验室的伙伴关系将使重要的知识和实验数据得以共享,并实施本项目开发的基本方法,以解决大规模的工业问题。教育目标包括从少数族裔中招募一名博士生,在爱荷华大学主要工程项目的升级课程中实施该项目的软件工具,并编写一本全面的教科书。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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嗅觉突然丧失患者感染 COVID-19 的频率
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10.1016/j.probengmech.2024.103666 - 发表时间:
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{{ truncateString('Sharif Rahman', 18)}}的其他基金
Novel Computational Methods for Design Under Uncertainty with Arbitrary Dependent Probability Distributions
具有任意相关概率分布的不确定性设计的新颖计算方法
- 批准号:
2317172 - 财政年份:2023
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通过样条维分解进行高维随机设计优化
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1933114 - 财政年份:2019
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CDS&E: Stochastic Isogeometric Analysis by Hierarchical B-Spline Sparse Grids
CDS
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1607398 - 财政年份:2016
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Stochastic Optimization for Design under Uncertainty with Dependent Probability Measures
具有相关概率测量的不确定性下设计的随机优化
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1462385 - 财政年份:2015
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Novel Computational Methods for Solving Random Eigenvalue Problems
解决随机特征值问题的新颖计算方法
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1130147 - 财政年份:2011
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大型复杂系统基于可靠性的设计优化
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0969044 - 财政年份:2010
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A New Decomposition Method for Solving Stochastic Eigenvalue Problems in Computational Dynamics
求解计算动力学中随机特征值问题的新分解方法
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0653279 - 财政年份:2007
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0355487 - 财政年份:2004
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9900196 - 财政年份:1999
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CAREER: Stochastic Fracture Mechanics for Nonlinear Structures
职业:非线性结构的随机断裂力学
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9733058 - 财政年份:1998
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Standard Grant
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