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

合作提案：轻质合金延性断裂概率型多尺度模型（PMM）集成计算系统

• 批准号: 0728203
• 负责人: Somnath Ghosh
• 金额: $ 16.5万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0728203&HistoricalAwards=false
• 关键词: Collaborative; Proposal; Integrated; Computational; System

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.

拟议的合作研究将建立在S. Ghosh（主要研究员）和R. Ghanem（U.Ancipal Resugnation，USC）开发的计算模型的基础上，以开发一种用于基于概率的多尺度模型（PMM）的综合计算系统轻质金属和合金中的裂缝，带有沉淀和夹杂物。 它将结合（a）由多尺度图像构建器和基于形态的域分区组成的概率多尺度前处理器； （b）基于图像的微结构Voronoi细胞有限元模型，用于精确，高分辨率分析和概率表征塑性变形，应变定位和延性骨折； （c）基于随机均质化的连续性塑性破坏模型，用于多尺度材料模型中的宏观分析。 PMM模拟器将有助于开发具有最佳材料微观结构的光合金组件，例如延展性。不同的材料，加载和几何构建体。 具体的研究将有助于材料行业，跨越现有技术，并将这些轻质合金用于新的关键安全应用。两个机构的研究生将与福特研究实验室的研究人员一起发展，以发展巨大的跨学科专业知识和工业敞口。当学生训练进入技术劳动力时，这种互动将提供全面的教育。将开发随机材料建模和多尺度分析的新课程。 PI会在各个大学组织研讨会，向学生和工业伙伴介绍这一新型研究领域。