Adaptive implicit-explicit finite element algorithms for fluid mechanics problems

T. E. Tezduyar; J. Liou

Adaptive implicit-explicit finite element algorithms for fluid mechanics problems

Research output: Contribution to journal › Conference article › peer-review

Abstract

The adaptive implicit-explicit (AIE) approach is presented for the finite element solution of various problems in computational fluid mechanics. In the AIE approach the elements are dynamically (adaptively) arranged into differently treated groups. The differences in treatment could be based on considerations such as the cost efficiency, the type of spatial or temporal discretization employed, the choice of field equations, etc. Several numerical tests are performed to demonstrate that with this approach substantial savings in the CPU time and memory can be achieved.

Original language	English
Pages (from-to)	163-184
Number of pages	22
Journal	American Society of Mechanical Engineers, Applied Mechanics Division, AMD
Volume	95
Publication status	Published - 1988 Dec 1
Externally published	Yes
Event	Recent Developments in Computational Fluid Dynamics - Chicago, IL, USA Duration: 1988 Nov 27 → 1988 Dec 2

ASJC Scopus subject areas

Mechanical Engineering

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abstract = "The adaptive implicit-explicit (AIE) approach is presented for the finite element solution of various problems in computational fluid mechanics. In the AIE approach the elements are dynamically (adaptively) arranged into differently treated groups. The differences in treatment could be based on considerations such as the cost efficiency, the type of spatial or temporal discretization employed, the choice of field equations, etc. Several numerical tests are performed to demonstrate that with this approach substantial savings in the CPU time and memory can be achieved.",

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AU - Liou, J.

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AB - The adaptive implicit-explicit (AIE) approach is presented for the finite element solution of various problems in computational fluid mechanics. In the AIE approach the elements are dynamically (adaptively) arranged into differently treated groups. The differences in treatment could be based on considerations such as the cost efficiency, the type of spatial or temporal discretization employed, the choice of field equations, etc. Several numerical tests are performed to demonstrate that with this approach substantial savings in the CPU time and memory can be achieved.

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SN - 0160-8835

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