Collaborative Proposal: Integrated Computational System for Probability Based Multi-Scale Model (PMM) of Ductile Fracture in Lightweight Alloys

拟议的合作研究将建立在S.Ghosh(首席研究员，OSU)和R.Garem(联席首席研究员，USC)开发的计算模型的基础上，开发基于概率的多尺度模型(PMM)的集成计算系统，用于含沉淀和夹杂物的轻质金属和合金的延性断裂。它将包括：(A)由多尺度图像生成器和基于形态的区域划分组成的概率多尺度预处理器；(B)基于图像的微观结构Voronoi单元有限元模型，用于精确、高分辨率地分析塑性变形、应变局部化和延性断裂的概率特征；(C)基于随机均质化的连续介质塑性-损伤模型，用于多尺度材料模型中的宏观分析。PMM模拟器将帮助开发具有最佳材料微结构的轻合金部件，以获得优异的断裂性能，如延展性。主要材料、汽车和航空航天行业将从该计算系统在处理不同材料、加载和几何结构的各种问题方面的理解力和灵活性中受益匪浅。具体地说，这项研究将帮助材料行业超越现有技术，并将这些轻质合金用于新的安全关键应用。两个机构的研究生将与福特研究实验室的研究人员合作，开发重要的跨学科专业知识和行业曝光率。这种互动将在学生接受进入技术劳动力的培训时提供全面的教育。将开设随机材料建模和多尺度分析的新课程。皮？S将在各自的大学组织研讨会，向学生和行业合作伙伴介绍这一新颖的研究领域。

The proposed collaborative research will build on computational models developed by S. Ghosh (principal investigator, OSU) and R. Ghanem (co-principal investigator, USC) to develop an integrated computational system for probability based multi-scale model (PMM) of ductile fracture in lightweight metals and alloys with precipitates and inclusions. It will incorporate (a) a probabilistic multi-scale pre-processor consisting of a multi-scale image builder and morphology based domain partitioning; (b) image based microstructural Voronoi Cell finite element model for accurate, high resolution analysis and probabilistic characterization of plastic deformation, strain localization and ductile fracture; (c) stochastic homogenization based continuum plasticity-damage model for macroscopic analysis in the multi-scale material model. The PMM simulator will help in the development of light alloy components with optimal material microstructures for superior failure properties such as ductility.Major materials, automotive and aerospace industries will benefit significantly from the comprehension and flexibility of this computational system in handling a variety of problems for different materials, loading and geometric constructs. Specifically the research will aid the materials industry, to leapfrog present technology and use these lightweight alloys in new safety-critical applications. Graduate students at two institutions will work together with researchers at Ford Research Laboratory to develop significant interdisciplinary expertise and industrial exposure. This interaction will provide a well-rounded education as students train to enter the technical workforce. New courses in Stochastic Material Modeling and Multiscale Analysis will be developed. The PI?s will organize workshops at respective universities to introduce students and industrial partners to this novel area of research.