课题基金 / 基金详情

Collaborative Research: Computational Foundations for Learning, Verifying, and Applying Model Simplification Rules

Collaborative Research: Computational Foundations for Learning, Verifying, and Applying Model Simplification Rules
协作研究:学习、验证和应用模型简化规则的计算基础
批准号:
1713921
负责人:
Satyandra Gupta
金额:
$7.63万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-11-01 至 2017-06-30

项目摘要

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中文摘要
翻译
该奖项的目标是开发基于特征的计算机辅助设计模型简化,特别是加速和自动化下游有限元分析。特别是,该研究将为从人类专家进行的演示中学习保守特征抑制规则创建算法基础。简化对模拟精度的影响将被正式表征,这种理解将用于创建计算机辅助设计模型中的功能抑制的鲁棒算法。研究结果将纳入研究生和本科生课程。该研究将最终导致一个框架,自动学习,验证和应用上下文相关的模型简化规则,可以由人类专家审核,并部署到自动化模型简化任务。如果成功,该研究将显着加快模型简化,并提高工程分析工具在设计过程中的自动化使用。潜在的应用包括热交换器、飞机结构和半导体设备的设计。计划中的研究和教育整合活动和推广活动将使研究生、本科生和高中生熟悉在具有挑战性的工程设计项目中使用模型简化技术。该项目还将提高实践工程师对复杂工程设计项目中自动模型简化的潜在用途的认识。参与该项目的学生还将参加威斯康星州校园的獾营和工程博览会活动以及马里兰州大学的马里兰州日活动,以增强公众对科学和技术的了解。
英文摘要
The objective of this award is to develop feature-based simplification of computer-aided-design models, specifically to accelerate and automate downstream finite-element-analysis. In particular, the research will create algorithmic foundations for learning conservative feature suppression rules from demonstrations performed by human experts. The effect of simplification on simulation accuracy will be formally characterized and this understanding will be used to create robust algorithms for feature suppression within computer-aided design models. Research findings will be integrated into graduate and undergraduate curriculum. The research will ultimately lead to a framework to automatically learn, validate, and apply context dependent model simplification rules that can be audited by human experts, and deployed to automate the model simplification task.If successful, the research will significantly speed up model simplification, and enhance the automated use of engineering analysis tools in the design process. Potential applications include design of heat exchangers, aircraft structures, and semi-conductor equipment. The planned research and education integration activities and outreach activities will familiarize graduate, undergraduate, and high school students with the use of model simplification technologies in challenging engineering design projects. This project will also increase awareness among practicing engineers about the potential usage of automated model simplification in complex engineering design projects. Students working on this project will also participate in Badger Camp and Engineering Expo events at the University of Wisconsin campus and Maryland Day at the University of Maryland to enhance the public understanding of the science and technology.
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