Characterization, Modeling, and Prediction of Fatigue Damage Under Variable Amplitude Loading

变幅载荷下疲劳损伤的表征、建模和预测

• 批准号: 1561960
• 负责人: David Chelidze
• 金额: $ 30.85万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1561960&HistoricalAwards=false
• 关键词: Characterization; Modeling; Prediction; Fatigue; Damage

Fatigue is an omnipresent problem in structural systems subjected to vibrations, and can lead to catastrophic failures, injuries, and loss of life. Quantitative prognostication of fatigue damage is still a largely unresolved and critical problem of engineering practice. This award supports fundamental research establishing the connection between material fatigue and structural dynamics. Such a link enables fatigue damage modeling and prediction and is an indispensable component of effective structural health monitoring and condition-based maintenance technologies. Successful achievement of the project objectives will enhance safety and performance of critical infrastructure and machinery, and will provide wide-ranging benefits to the U.S. economy and society. The project has a multidisciplinary nature incorporating material science, dynamical systems modeling, fatigue testing, and nonlinear time series analysis. The research approach and the project findings will also enrich engineering education and broaden participation of underrepresented groups in cross-disciplinary research.Current understanding of fatigue mechanisms at the micro-scale is not sufficient to provide information applicable to macro-scale fatigue life estimation. Furthermore, existing models and analyses of the dynamic behavior of damaged structures do not directly yield insight into fatigue mechanisms or fatigue prediction. This award will support the study of fatigue evolution across its different stages, its interaction with structural dynamics and loads, and the effect of loads on fatigue dynamics. A combination of analytical, numerical, and experimental studies will be conducted to investigate the interaction between fatigue accumulation and structural oscillations. The findings will be employed for practical fatigue life prediction under variable amplitude loading conditions. The project will formulate a modeling approach that permits the exploitation of nonlinear load characteristics for fatigue life prediction. The resulting damage model and method for fatigue life prediction - using new, physically meaningful, and easy to estimate load metrics - will be instrumental in designing against fatigue, and enabling effective fatigue prognostication.

疲劳是遭受振动的结构系统中普遍存在的问题，可能导致灾难性故障、伤害和生命损失。疲劳损伤的定量预测仍然是工程实践中尚未解决的关键问题。该奖项支持建立材料疲劳与结构动力学之间联系的基础研究。这种链接可以实现疲劳损伤建模和预测，是有效结构健康监测和基于状态的维护技术不可或缺的组成部分。该项目目标的成功实现将提高关键基础设施和机械的安全性和性能，并将为美国经济和社会带来广泛的利益。该项目具有多学科性质，结合了材料科学、动力系统建模、疲劳测试和非线性时间序列分析。研究方法和项目结果还将丰富工程教育，并扩大跨学科研究中代表性不足的群体的参与。目前对微观尺度疲劳机制的理解不足以提供适用于宏观尺度疲劳寿命估计的信息。此外，现有的受损结构动态行为模型和分析并不能直接深入了解疲劳机制或疲劳预测。该奖项将支持对不同阶段的疲劳演化、其与结构动力学和载荷的相互作用以及载荷对疲劳动力学的影响的研究。将结合分析、数值和实验研究来研究疲劳累积和结构振动之间的相互作用。研究结果将用于变幅载荷条件下的实际疲劳寿命预测。该项目将制定一种建模方法，允许利用非线性负载特性来预测疲劳寿命。由此产生的疲劳寿命预测损伤模型和方法（使用新的、有物理意义且易于估计的负载指标）将有助于设计抗疲劳和实现有效的疲劳预测。