Phase field modelling for fatigue design curve predictions whilst factoring in material variability

用于疲劳设计曲线预测的相场建模，同时考虑材料的可变性

• 批准号: 2748098
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2748098
• 关键词: Phase; field; modelling; fatigue; design

Development of fatigue design curves, which are often referred to as S-N curves, can be a costly and time-consuming endeavour, requiring numerous samples to be tested to failure under differing cyclic loading stress amplitudes, stress concentration factors (K), and stress ratio (R). Fatigue testing produces highly scattered data due to material variability. Current standards, such as BS 7608, state that the design curve should be considered in favour of the base fatigue curve, The purpose of this study is to review existing methodology for the prediction of S-N curves via the use of phase field modelling techniques, and discuss the possibility to increase the scope beyond S-N curves, via introducing material variability, to produce a variety of data points allowing the fatigue design curve to be estimated.

通常称为S-N曲线的疲劳设计曲线的发展可能是一项昂贵且耗时的努力，需要在不同的环状负荷应力振幅，应力浓度因子（K）和应力比（R）下测试大量样品以进行故障。由于物质可变性，疲劳测试会产生高度分散的数据。 Current standards, such as BS 7608, state that the design curve should be considered in favour of the base fatigue curve, The purpose of this study is to review existing methodology for the prediction of S-N curves via the use of phase field modelling techniques, and discuss the possibility to increase the scope beyond S-N curves, via introducing material variability, to produce a variety of data points allowing the fatigue design curve to be estimated.