CAREER: An Integrated Computational and Experimental Framework to Understand Deformation and Failure of Porous Materials

职业：了解多孔材料变形和失效的综合计算和实验框架

基本信息

批准号：
2145222
负责人：
Yashar Mehmani
金额：
$ 63万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-01 至 2027-07-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145222&HistoricalAwards=false
关键词：
CAREER Integrated Computational Experimental Framework

项目摘要

This Faculty Early Career Development (CAREER) grant will support fundamental research to understand how porous materials deform and fail under external loading, and to develop predictive models useful for the precise engineering of such materials. Applications are broad and include the safe and sustainable engineering of subsurface operations to extract energy (geothermal), store energy (hydrogen), and dispose of greenhouse gases (carbon dioxide). Still others include the optimal design of components for fuel cells, batteries, and civil infrastructure, all of national interest to the US. Existing models used to predict deformation and failure of microstructurally complex porous materials are slow and contain knowledge gaps that stem from a lack of mechanistic understanding of the physics. This project aims to accelerate computer simulations through novel mathematical algorithms and to anchor the simulations to controlled lab experiments for improved physical understanding. The integrated educational activities include the training of next-generation engineers, curriculum development for graduate students, outreach to K-12 teachers of rural Pennsylvania through a summer research program in partnership with the Center for Science and the Schools at Penn State, and tools and data for domain experts.There is a gap in the fundamental understanding of how porous materials deform and fail at microscopic scales. Classical poromechanical models used to simulate the physics approximate porous materials as continua and, therefore, cannot provide insights into the microscopic origins of failure. Direct numerical simulation presents an attractive alternative but is computationally expensive. This project will support the development of an integrated suite of lab experiments and computational methods with the overarching goal of: (1) enabling a mechanistic understanding of deformation and failure of brittle porous media; and (2) accelerating microscale simulations through physics-informed mathematical approximations. The combined effort will contribute towards establishing structure-property relations that are useful for designing and screening new and resilient microstructures. It will also enable computationally demanding tasks such as optimization and uncertainty quantification associated with geometrically complex porous domains.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.

这项教师早期职业发展（职业）赠款将支持基础研究，以了解多孔材料在外部负载下如何变形和失败，并开发可用于此类材料的精确工程有用的预测模型。应用范围很广，包括地下操作的安全和可持续的工程，以提取能量（地热），储存能量（氢）以及处置温室气体（二氧化碳）。还有一些包括美国国家利益的燃料电池，电池和民用基础设施的最佳设计。用于预测微观结构复杂多孔材料的变形和失败的现有模型较慢，并且包含由于缺乏对物理学的机械理解而引起的知识差距。该项目旨在通过新颖的数学算法加速计算机模拟，并将模拟锚定为控制实验室实验，以提高物理理解。整合的教育活动包括对下一代工程师的培训，研究生的课程开发，通过夏季研究计划与宾夕法尼亚州农村的K-12教师与宾夕法尼亚州立大学和宾夕法尼亚州学校合作，以及对领域的工具和数据的合作，对毛孔材料降低了多孔材料量表的基本知识。用于模拟物理学近似多孔材料的经典孔技术模型，因此无法提供对失败的显微镜起源的见解。直接数值模拟提出了一个有吸引力的替代方案，但在计算上却很昂贵。该项目将支持开发实验室实验的集成套件和计算方法，其总体目标的开发：（1）能够对脆性多孔介质的变形和失败的机械理解；（2）通过物理知识的数学近似来加速显微镜模拟。合并的努力将有助于建立结构性关系，这些关系对于设计和筛选新的和弹性的微观结构有用。它还将实现计算要求的任务，例如与几何复杂的多孔领域相关的优化和不确定性量化。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛影响的评估标准来通过评估来获得支持的。