Workshop: Uncertainty Quantification in Computational Solid and Structural Materials Modeling; Baltimore, Maryland; January 17-18, 2019
Workshop: Uncertainty Quantification in Computational Solid and Structural Materials Modeling; Baltimore, Maryland; January 17-18, 2019
批准号:
1901684
负责人:
Michael Shields
金额:
$1.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-12-01 至 2019-11-30
中文摘要
这笔赠款为题为“材料计算建模中的不确定性量化”的研讨会提供财政支持,该研讨会将于2019年1月17日至18日在马里兰州巴尔的摩的约翰霍普金斯大学举行。众所周知,材料的性能受到与组成、组成性质和微观或介观结构相关的不确定性的强烈影响。当材料经历大的不可逆变形,通过断裂或疲劳接近失效时尤其如此。这种行为的计算建模由于材料模型中的不确定性而进一步复杂化(例如,由于不完整的物理学而导致的不确定性),以及缺乏量化材料微观或介观结构和性质分布的数据。不确定性分析的计算成本是一个额外的挑战。这个为期2天的主题研讨会的目的是汇集固体和结构力学,材料科学和应用数学领域的杰出学者,他们对不确定性量化和计算材料建模有着共同的兴趣,以展示最先进的技术,共同确定现有和未来的挑战,并促进该领域的创新思想。 重点一直放在将看似不同领域的专家聚集在一起,他们面临着与不确定性量化和材料有关的共同挑战,但除此之外,他们只有有限的互动机会。这笔赠款的资金将支持10名学生/博士后研究人员参加研讨会的旅费,并在海报会议上展示他们的工作,以及制作一份报告和一篇关于该领域状况的评论期刊文章。在这个为期两天的研讨会上,来自学术界、政府和工业界的29位受邀的不确定性量化和材料建模领域的领先专家将介绍计算力学、应用数学和材料科学界面临的与不确定性量化相关的持续和未来挑战。研讨会将由7个2小时的会议组成,每个技术轨道有4个演示和20分钟的讨论时间。由于每次会议都涵盖不同的主题,这种独特的形式旨在促进围绕每个主题中最重要的技术挑战及其解决方案的讨论。研讨会还将举办海报会议,学生/博士后有机会分享他们的工作。这些演讲和讨论的结果将记录在一份最后报告和一篇讨论研讨会主题的长篇评论期刊文章中。这两份文件将被广泛传播给研究界和超越。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。
英文摘要
This grant provides financial support for the workshop entitled "Uncertainty Quantification in Computational Modeling of Materials", to be held on January 17-18, 2019 at Johns Hopkins University in Baltimore, MD. It is widely known that the performance of materials is strongly influenced by uncertainties associated with composition, constituent properties, and micro- or meso-structure. This is especially true as materials undergo large irreversible deformations, approaching failure through fracture or fatigue. Computational modeling of such behavior is further complicated by uncertainties in material models (e.g., uncertainty due to incomplete physics), and lack of data to quantify material micro- or meso-structure and property distributions. The computational cost of uncertainty analyses is an additional challenge. The aim of this 2-day thematic workshop is to bring together prominent scholars in solid and structural mechanics, materials science, and applied mathematics with a shared interest in uncertainty quantification and computational materials modeling to showcase the state-of-the-art, collectively identify existing and future challenges, and promote innovative ideas in the field. Emphasis has been being placed on bringing together experts in seemingly disparate fields who face shared challenges related to uncertainty quantification and materials, but who otherwise have only limited opportunities to interact. Funding from this grant will support travel costs for 10 students/postdoctoral researchers to attend the workshop and present their work during a poster session as well as production of a report and a review journal article on the state of the field. In this two-day workshop, 29 invited leading experts in uncertainty quantification and materials modeling from across academia, government, and industry will present ongoing and future challenges related to uncertainty quantification facing the computational mechanics, applied mathematics, and materials science communities. The workshop will be comprised of 7, 2-hour sessions in a single technical track with each track having four presentations and a 20-minute discussion period. With each session covering a different topic, this unique format is intended to foster discussion around the most important technical challenges in each topic and avenues for their solution. The workshop will also feature a poster session where students/postdocs have the opportunity to share their work. The outcome of these presentations and discussions will be documented in a final report and a full-length review journal article discussing the themes of the workshop. These two documents will be widely disseminated to the research community and beyond.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.
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