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Mechanical APDL Basic Analysis Guide - Ansys

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Chapter 5: Solution<br />

The following table provides general guidelines you may find useful in selecting which solver to use for a<br />

given problem. MDOF indicates million degrees of freedom.<br />

Table 5.1 Solver Selection <strong>Guide</strong>lines<br />

Solver<br />

Sparse Direct<br />

Solver<br />

(direct elimination,shared-<br />

memory parallel<br />

solver)<br />

Typical Applications<br />

Ideal Model<br />

Size<br />

When robustness and solution 10,000 to<br />

speed are required (nonlinear ana- 1,000,000<br />

lysis); for linear analysis where iterat- DOFs (works<br />

ive solvers are slow to converge well outside<br />

(especially for ill-conditioned<br />

matrices, such as poorly shaped<br />

elements).<br />

this range).<br />

Memory Use<br />

1 GB/MDOF<br />

(optimal outof-core);<br />

10<br />

GB/MDOF (incore)<br />

PCG Solver Reduces disk I/O requirement relat- 50,000 to 0.3 GB/MDOF<br />

(iterative ive to sparse solver. Best for large 10,000,000+ w/MSAVE,ON;<br />

solver) models with solid elements and fine DOFs<br />

1 GB/MDOF<br />

meshes. Most robust iterative solver<br />

without<br />

in ANSYS<br />

MSAVE<br />

JCG Solver<br />

(iterative<br />

solver)<br />

ICCG Solver<br />

(iterative<br />

solver)<br />

QMR Solver<br />

(iterative<br />

solver)<br />

DPCG Solver<br />

(distributed<br />

solver)<br />

DJCG Solver<br />

(distributed<br />

solver)<br />

AMG Solver<br />

(iterative<br />

solver)<br />

Best for single field problems -<br />

(thermal, magnetics, acoustics, and<br />

multiphysics). Uses a fast but simple<br />

preconditioner with minimal<br />

memory requirement. Not as robust<br />

as PCG solver.<br />

More sophisticated preconditioner<br />

than JCG. Best for more difficult<br />

problems where JCG fails, such as<br />

unsymmetric thermal analyses.<br />

High-frequency electromagnetics.<br />

Same as PCG but runs on distributed<br />

parallel systems.<br />

Same as JCG but runs on distributed<br />

parallel systems. Not as robust as<br />

DPCG or PCG solver.<br />

Good shared memory parallel performance.<br />

Good preconditioner for<br />

ill-conditioned problems where PCG<br />

is slow.<br />

50,000 to<br />

10,000,000+<br />

DOFs<br />

50,000 to<br />

1,000,000+<br />

DOFs<br />

50,000 to<br />

1,000,000+<br />

DOFs<br />

50,000 to<br />

100,000,000+<br />

DOFs<br />

50,000 to<br />

10,000,000+<br />

DOFs<br />

50,000 to<br />

1,000,000+<br />

DOFs<br />

0.5 GB/MDOF<br />

1.5 GB/MDOF<br />

1.5 GB/MDOF<br />

1.5-2.0<br />

GB/MDOF in<br />

total*<br />

0.5 GB/MDOF<br />

1.5-3.0<br />

GB/MDOF in<br />

total*<br />

Distributed Same as sparse solver but runs on 10,000 to 1.5 GB/MDOF<br />

sparse direct distributed parallel systems. This is 5,000,000 on master<br />

solver the default solver for distributed DOFs. Works machine, 1.0<br />

parallel runs. well outside GB/MDOF on<br />

this range. slave machines.<br />

Uses<br />

more total<br />

98<br />

Release 13.0 - © SAS IP, Inc. All rights reserved. - Contains proprietary and confidential information<br />

of ANSYS, Inc. and its subsidiaries and affiliates.<br />

Disk<br />

(I/O)<br />

Use<br />

10<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

0.5<br />

GB/MDOF<br />

10<br />

GB/MDOF

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