CAREER: Understanding Fiber Bundle Failure Mechanics for Ultra-high Reliability Applications

职业：了解超高可靠性应用的光纤束失效机制

• 批准号: 2339223
• 负责人: Amy Engelbrecht-Wiggans
• 金额: $ 56.7万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2029-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2339223&HistoricalAwards=false
• 关键词: CAREER; Understanding; Fiber; Bundle; Failure

Fiber bundles (parallel filaments) are some of the strongest materials per unit weight. Bridge cables, muscles, flexible body armor, and aerospace composites are all fiber bundles of some form. Understanding the failure properties of these bundles is crucial but challenging. The lower the desired failure probability (higher reliability), the harder it is to accurately predict. This Faculty Early Career Development (CAREER) award supports fundamental research to increase our understanding of the mechanisms leading to bundle failure. It uses a new computer modeling method to combine experimental data and theory. This will provide insight into how fiber bundles behave, allowing for better estimation of bundle failure probabilities. Knowing the probability of failure allows for better decision making and potentially decreased costs for structures made from fiber bundles, including cables and composites. Therefore, results from this research will benefit the U.S. economy and society. The project will also provide research and outreach opportunities for pre-college minority students, to inspire them to attend college and consider a future in STEM, broadening participation of underrepresented groups in research and positively impacting engineering education.The objectives of this project are to understand how interactions between fibers determine the bundle’s stress-strain response through deformation to fracture, and the key driving mechanics leading to bundle failure. Bundle failure is caused by instability leading to collapse, and understanding the onset of instability and the lower tail of the failure distribution is critical to ensuring ultra-high reliability. The novelty of this project is the combination of modeling (mechanistic, probabilistic, and stochastic) with experiments in a data-based Monte-Carlo simulation, which will be extensively validated against experimental data. This simulation will numerically determine full bundle stress strain behavior. Further, the new ability to numerically predict distributions of bundle load-strain characteristics for generic, non-linear fibers, will result in improved understanding of the fundamental mechanics of fiber load sharing. Student involvement is key to the success of this project, which involves careful fiber material testing, theoretical concepts, and statistical modeling. This research is ideal for students with a blend of tractable experiments, theory and coding. Their new knowledge and abilities will be cemented through inclusion in outreach activities and presenting at professional conferences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

纤维束（平行丝）是单位重量的一些强材料。桥电缆，肌肉，柔性身体装甲和航空航天组成都是某种形式的纤维束。了解这些束的故障特性至关重要，但挑战。所需的故障概率（可靠性较高）越低，准确预测的难度就越大。这项教师早期职业发展（职业）奖支持基本研究，以增加我们对导致捆绑失败的机制的理解。它使用一种新的计算机建模方法来结合实验数据和理论。这将提供有关纤维束的行为的洞察力，从而可以更好地估算捆绑故障的可能性。了解失败的可能性可以更好地做出决策，并有可能改善由纤维束制成的结构，包括电缆和复合材料。因此，这项研究的结果将使美国经济和社会受益。该项目还将为校前少数群体学生提供研究和外展机会，激励他们上大学并考虑茎上的未来，扩大了人为人数不足的群体参与研究并积极影响工程教育。该项目的目标是了解纤维之间的相互作用如何通过对差异的压力响应来确定bun的压力响应对跨性别的失败，并实现了bun驱动器的范围，并确定了bun驱动器的范围，并确定了bun驱动器的范围。束故障是由于不稳定引起的，导致崩溃，了解不稳定性的发作和失败分布的下尾对于确保超高的可靠性至关重要。该项目的新颖性是在基于数据的蒙特卡罗模拟中的建模（机械，概率和随机）与实验的组合，该实验将对实验数据进行广泛验证。该模拟将单独确定全束应力应变行为。此外，对于通用，非线性纤维的数值预测捆绑负载 - 应变特性的分布的新能力将提高人们对纤维负载共享基本机制的了解。学生参与是该项目成功的关键，该项目涉及仔细的纤维材料测试，理论概念和统计建模。这项研究非常适合与可进行的实验，理论和编码结合在一起的学生。他们的新知识和能力将通过纳入外展活动并在专业会议上介绍来巩固。该奖项反映了NSF的法定使命，并被认为是通过基金会的知识分子优点和更广泛的影响评估标准通过评估而被视为珍贵的支持。