CAREER: New Methods for Predicting Fatigue Failures in Extrinsically Toughened Materials

职业生涯：预测外增韧材料疲劳失效的新方法

• 批准号: 0547394
• 负责人: Jamie Kruzic
• 金额: $ 40.01万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0547394&HistoricalAwards=false
• 关键词: CAREER; New; Methods; Predicting; Fatigue

AbstractCAREER: New methods for predicting fatigue failures in extrinsically toughened materialsJ. J. KruzicAn approach will be developed for making fatigue reliability predictions in structural materials that utilize extrinsic toughening mechanisms to achieve their crack propagation resistance. This will be achieved by characterizing the fatigue behavior as a function of crack size using a fatigue threshold R-curve, analogous to a fracture toughness R-curve, which may then be used for predicting fatigue endurance strengths based on the initial minimum detectable flaw size. Additionally, methods will be developed for predicting such R-curves by quantitative evaluation of the extrinsic toughening processes. Finally, this project will be structured to create a synergistic pyramid of mentoring for the students involved from the high school to graduate level which will act as an important recruiting tool for attracting high school students to science and engineering, while also acting as an important retention tool for keeping the undergraduate and graduate students engaged in those fields.

预测挤压增韧材料疲劳失效的新方法J.将开发一种方法来预测结构材料的疲劳可靠性，这种结构材料利用外部增韧机制来实现其裂纹扩展阻力。这将通过使用疲劳阈值R曲线（类似于断裂韧性R曲线）将疲劳行为表征为裂纹尺寸的函数来实现，然后可以基于初始最小可检测缺陷尺寸将其用于预测疲劳持久强度。 此外，将开发的方法来预测这样的R-曲线的定量评价的外在韧化过程。 最后，该项目的结构将为从高中到研究生的学生建立一个协同金字塔式的指导，这将成为吸引高中学生进入科学和工程领域的重要招聘工具，同时也是保持本科生和研究生从事这些领域的重要保留工具。