课题基金 / 基金详情

Advanced Iterative Solvers for High Order Finite Elements

Advanced Iterative Solvers for High Order Finite Elements
高阶有限元的高级迭代求解器
批准号:
9360015
负责人:
Jan Mandel
金额:
$6.49万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-05-01 至 1995-01-31

项目摘要

项目成果

Jan Mandel的其他基金

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中文摘要
翻译
小行星9360015 本项目研究一类新的非常有前途的高度并行迭代方法,用于求解三维弹性板壳结构中由高阶单元(p型有限元法)引起的大规模系统。 感兴趣的问题的大小现在规则我们的直接求解器,但高阶元素,特别是薄元素,引起非常病态的方程组,这需要新的特定的预处理器。 第一阶段的计划是研究预处理薄固体高阶元素的新方法,并研究它们在高达一百万个自由度的三维问题上的性能。 设计和开发将以理论分析和广泛的实验为指导。 第一阶段将产生一个粗粒度的并行原型代码运行在CRAY-YMP。 第二阶段将涉及消除非常大的问题的瓶颈,扩展该方法的能力,包括复杂的几何和开发的生产级软件的CRAY-YMP和IBM SP-1。 该项目将进一步了解在并行超级计算机上的多级和区域分解计算方法。 所提出的方法的可用性将对机械工程实践产生重大影响。
英文摘要
9360015 Mandel This project is to study a new class of very promising highly parallel iterative methods for the solution of large scale systems which arise from high order elements (the p- version finite element method) in three-dimensional elasticity for structures with plates, shells and junctures. The size of problems on interest now rules our direct solvers, but high order elements, particularly thin elements, give rise to very ill-conditioned systems of equations, which necessitate new specific preconditioners. The plan in Phase I is to investigate new methods for preconditioning thin solid high order elements and to study their performance on three-dimensional problems with up to over one million degrees of freedom. The design and development will be guided by theoretical analyses as well as extensive experimentation. Phase I will result in a coarse grained parallel prototype code running on CRAY-YMP. Phase II will be concerned with eliminating bottlenecks for very large problems, extending the capabilities of the method to include complicated goemetries and development of production level software for CRAY-YMP and IBM SP-1. The project will further knowledge in the areas of multilevel and domain decomposition computational methods on parallel supercomputers. The availability of the proposed methods will have a significant impact on mechanical engineering practice.
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会议论文
CC* Compute: Accelerating Science and Education by Campus and Grid Computing
Data assimilation in scientific computing
Adaptive Multilevel Iterative Substructuring Methods
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