Efficient Local Level Set Method without Reinitialization and Its Appliance to Topology Optimization

Joint Authors

Zhang, Wenhui
Zhang, Yaoting

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-01-21

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

The local level set method (LLSM) is higher than the LSMs with global models in computational efficiency, because of the use of narrow-band model.

The computational efficiency of the LLSM can be further increased by avoiding the reinitialization procedure by introducing a distance regularized equation (DRE).

The numerical stability of the DRE can be ensured by a proposed conditionally stable difference scheme under reverse diffusion constraints.

Nevertheless, the proposed method possesses no mechanism to nucleate new holes in the material domain for two-dimensional structures, so that a bidirectional evolutionary algorithm based on discrete level set functions is combined with the LLSM to replace the numerical process of hole nucleation.

Numerical examples are given to show high computational efficiency and numerical stability of this algorithm for topology optimization.

American Psychological Association (APA)

Zhang, Wenhui& Zhang, Yaoting. 2016. Efficient Local Level Set Method without Reinitialization and Its Appliance to Topology Optimization. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112448

Modern Language Association (MLA)

Zhang, Wenhui& Zhang, Yaoting. Efficient Local Level Set Method without Reinitialization and Its Appliance to Topology Optimization. Mathematical Problems in Engineering No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1112448

American Medical Association (AMA)

Zhang, Wenhui& Zhang, Yaoting. Efficient Local Level Set Method without Reinitialization and Its Appliance to Topology Optimization. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112448

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112448