CAREER: Multiscale Reduced Order Modeling and Design to Elucidate the Microstructure-Property-Performance Relationship of Hybrid Composite Materials

高性能复合材料以其结合了轻质、高刚性、强度和韧性而闻名，在能源、汽车和航空航天工程等行业中具有显著降低运营成本和提高资产性能的潜力。尽管最近取得了显著的进展，但考虑到成分的最佳非线性行为和复杂的几何形状，目前还缺乏有效的预测建模和优化框架来帮助设计这些先进的复合材料。这项教师早期职业发展(CALEAR)奖通过一个综合的教育和研究计划来应对这一挑战。该研究计划的重点是提高最先进的复合材料建模和设计能力，包括在极端载荷条件下的非线性行为和潜在损伤。这一框架将被用来揭示微结构的组成属性、几何形状和结构性能之间的基本关系。一项全面的教育计划是培养具有强大复合材料背景的下一代专业人员，以满足国家对高性能材料日益增长的需求。该职业奖的目标是通过开发和实践高效和准确的多尺度降阶建模和设计框架来阐明复合材料的微结构-性能-性能关系。首先，将开发一种自适应多尺度降维模型，用于材料响应空间的快速多尺度分析和探测。该模型将考虑实际复合材料的行为，重点关注粘弹性行为和基质的损伤，钢筋的损伤，以及材料界面的粘结剥离。多尺度模型将通过直接数值模拟进行彻底验证，并使用不同混杂复合材料的实验数据进行验证。最后，该模型将被合并到基于多分辨率梯度的降阶设计(材料和形状)框架中，从而能够有效地设计混合复合材料微结构。建模和设计框架将使我们能够开发具有定制机械性能的先进复合材料。该项目由材料和结构力学(MOMS)计划和既定的激励竞争研究计划(EPSCoR)联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

High-performance composite materials, known for their combination of lightweight, high stiffness, strength, and toughness, have the potential to significantly reduce operational costs and enhance the performance of assets in industries such as energy, automotive, and aerospace engineering. Despite notable recent advancements, there is currently a lack of an effective predictive modeling and optimization framework to aid in designing these advanced composite materials, considering the optimal nonlinear behavior and complex geometries of the constituents. This Faculty Early Career Development (CAREER) award addresses this challenge through an integrated educational and research program. The research program focuses on advancing the state-of-the-art composite modeling and design capabilities for composites involving nonlinear behavior and potential damage under extreme loading conditions. This framework will be utilized to uncover the fundamental relationship between the microstructure's constituent properties, geometries, and structural performance. A comprehensive educational plan is to train the next generation of professionals with a strong background in composites to meet the nation’s growing demand for high-performance materials. The goal of this CAREER award is to elucidate the microstructure-property-performance relationship for composite materials by developing and exercising an efficient and accurate multiscale reduced order modeling and design framework. First, an adaptive multiscale reduced order model for rapid multiscale analysis and probing of the material response space will be developed. The model will consider realistic composite material behavior with a focus on viscoelastic behavior and damage of the matrix, damage of the reinforcement, and cohesive debonding of the material interface. The multiscale model will be thoroughly verified against direct numerical simulation and validated using experimental data for different hybrid composites. Finally, the model will be incorporated into a multi-resolution gradient-based reduced order design (material and shape) framework that enables the efficient design of hybrid composite microstructures. The modeling and design framework will empower us to develop advanced composites with tailored mechanical properties. It also has the potential to inform and guide advanced manufacturing techniques, facilitating precise fabrication of materials with optimized microstructures.This project is jointly funded by the Mechanics of Materials and Structures (MoMS) program and the Established Program to Stimulate Competitive Research (EPSCoR).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.