U.S.-Germany Cooperative Research: Least-Square Finite Element Methods for Nonlinear Elasticity
美德合作研究:非线性弹性最小二乘有限元方法
基本信息
- 批准号:9910010
- 负责人:
- 金额:$ 1.32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2000
- 资助国家:美国
- 起止时间:2000-01-01 至 2002-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
9910010CaiThis award supports Zhiqiang Cai, a post-doctoral and a graduate student from Purdue University in a collaboration with Gerhard Starke of the Department of Mathematics at the U. of Essen, Germany. The project will focus on developing a new, accurate, robust, and efficient least-squares finite element method to solve nonlinear elasticity problems. Such techniques would be useful in applications such as buckling of plates, large deformations of hyperelastic materials, and Navier-Stokes problems. The collaboration combines unique expertise on both sides, with the U.S. side among the leaders in the analysis of least-squares finite element methods for partial differential equations and the German side experienced in numerical techniques. Interest in this area of investigation is currently very strong in the research community, and a new way to solve the difficult problems being attacked in this research would be a boon to many disparate fields.
9910010该奖项支持普渡大学博士后、研究生蔡志强与德国埃森大学数学系Gerhard Starke的合作研究。该项目将致力于开发一种新的、准确的、鲁棒的、高效的最小二乘有限元方法来解决非线性弹性问题。这种技术将在诸如板的屈曲、超弹性材料的大变形和纳维-斯托克斯问题等应用中发挥作用。此次合作结合了双方独特的专业知识,美国方面在偏微分方程最小二乘有限元方法分析方面处于领先地位,而德国方面在数值技术方面经验丰富。目前,研究界对这一研究领域的兴趣非常浓厚,一种解决这一研究中遇到的难题的新方法将对许多不同的领域带来福音。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Zhiqiang Cai其他文献
Multiobjective optimization of reliability-redundancy allocation problems for serial parallel-series systems based on importance measure
基于重要性测度的串并串系统可靠性冗余分配问题多目标优化
- DOI:
10.1177/1748006x19844785 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Jiangbin Zhao;Shubin Si;Zhiqiang Cai;Ming Su;Wei Wang - 通讯作者:
Wei Wang
A multi-objective reliability optimization for reconfigurable systems considering components degradation
考虑组件退化的可重构系统多目标可靠性优化
- DOI:
10.1016/j.ress.2018.11.001 - 发表时间:
2019-03 - 期刊:
- 影响因子:8.1
- 作者:
Jiangbin Zhao;Shubin Si;Zhiqiang Cai - 通讯作者:
Zhiqiang Cai
DDPG based on multi-scale strokes for financial time series trading strategy
基于多尺度笔划的DDPG金融时间序列交易策略
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Jun;Cong Chen;L. Duan;Zhiqiang Cai - 通讯作者:
Zhiqiang Cai
Internal Usability Testing of Automated Essay Feedback in an Intelligent Writing Tutor
智能写作导师自动论文反馈的内部可用性测试
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Rod D. Roscoe;Laura K. Varner;Zhiqiang Cai;Jennifer L. Weston;S. Crossley;D. McNamara - 通讯作者:
D. McNamara
Cognitively Inspired Nlp-based Knowledge Representations: Further Explorations of Latent Semantic Analysis
基于 NLP 的认知启发知识表示:潜在语义分析的进一步探索
- DOI:
10.1142/s0218213006003090 - 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
M. Louwerse;Zhiqiang Cai;Xiangen Hu;M. Ventura;Patrick Jeuniaux - 通讯作者:
Patrick Jeuniaux
Zhiqiang Cai的其他文献
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{{ truncateString('Zhiqiang Cai', 18)}}的其他基金
Adaptive Neural Networks for Partial Differential Equations
偏微分方程的自适应神经网络
- 批准号:
2110571 - 财政年份:2021
- 资助金额:
$ 1.32万 - 项目类别:
Standard Grant
A Posteriori Error Estimation through Duality and Some Other Topics
通过对偶性和其他一些主题进行后验误差估计
- 批准号:
1522707 - 财政年份:2015
- 资助金额:
$ 1.32万 - 项目类别:
Continuing Grant
Efficient, Reliable, and Robust A Posteriori Error Estimators of Recovery Type
高效、可靠、鲁棒的恢复型后验误差估计器
- 批准号:
1217081 - 财政年份:2012
- 资助金额:
$ 1.32万 - 项目类别:
Standard Grant
Flux Recovery, A Posteriori Error Estimation, and Adaptive Finite Element Method
通量恢复、后验误差估计和自适应有限元方法
- 批准号:
0810855 - 财政年份:2008
- 资助金额:
$ 1.32万 - 项目类别:
Standard Grant
Least-Squares Finite Element Methods for Nonlinear Partial Differential Equations
非线性偏微分方程的最小二乘有限元法
- 批准号:
0511430 - 财政年份:2005
- 资助金额:
$ 1.32万 - 项目类别:
Standard Grant
U.S.-Korea Cooperative Research Program: Numerical methods for the computation of singular solutions and stress intensity factors
美韩合作研究计划:计算奇异解和应力强度因子的数值方法
- 批准号:
0139053 - 财政年份:2002
- 资助金额:
$ 1.32万 - 项目类别:
Standard Grant
First-Order System Least Squares for Partial Differential Equations
偏微分方程的一阶系统最小二乘法
- 批准号:
9619792 - 财政年份:1996
- 资助金额:
$ 1.32万 - 项目类别:
Continuing Grant
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