Extensions of structural optimization software to enable multidisciplinary applications

T. Br�m�; R. Enblom

doi:10.1007/bf01197435

Extensions of structural optimization software to enable multidisciplinary applications

Structural Optimization ◽

10.1007/bf01197435 ◽

1998 ◽

Vol 15 (1) ◽

pp. 33-41

Author(s):

T. Br�m� ◽

R. Enblom

Keyword(s):

Structural Optimization ◽

Optimization Software

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Basic Study on Performance Comparison of Structural Optimization Software Systems

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2014.38.12.1403 ◽

2014 ◽

Vol 38 (12) ◽

pp. 1403-1413 ◽

Cited By ~ 1

Author(s):

Wook Han Choi ◽

Cheng Guo Huang ◽

Gyung-Jin Park ◽

Tai-Kyung Kim

Keyword(s):

Structural Optimization ◽

Performance Comparison ◽

Software Systems ◽

Basic Study ◽

Optimization Software

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Implementation of a crack propagation constraint within a structural optimization software

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-003-0329-0 ◽

2003 ◽

Vol 25 (5-6) ◽

pp. 327-338 ◽

Cited By ~ 10

Author(s):

M. Papila ◽

R.T. Haftka

Keyword(s):

Crack Propagation ◽

Structural Optimization ◽

Optimization Software

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A Study of Joint Cost Inclusion in Linear Programming Optimization

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.327 ◽

2013 ◽

Vol 3 (4) ◽

pp. 473-478

Author(s):

P. Armaos

Keyword(s):

Linear Programming ◽

Structural Optimization ◽

Reliable Method ◽

Benchmark Problems ◽

Small Scale ◽

Past Century ◽

Optimization Software ◽

The Past ◽

Viable Solution ◽

Scale Optimization

The concept of Structural Optimization has been a topic or research over the past century. Linear Programming Optimization has proved being the most reliable method of structural optimization. Global advances in linear programming optimization have been recently powered by University of Sheffield researchers, to include joint cost, self-weight and buckling considerations. A joint cost inclusion scopes to reduce the number of joints existing in an optimized structural solution, transforming it to a practically viable solution. The topic of the current paper is to investigate the effects of joint cost inclusion, as this is currently implemented in the optimization code. An extended literature review on this subject was conducted prior to familiarization with small scale optimization software. Using IntelliFORM software, a structured series of problems were set and analyzed. The joint cost tests examined benchmark problems and their consequent changes in the member topology, as the design domain was expanding. The findings of the analyses were remarkable and are being commented further on. The distinct topologies of solutions created by optimization processes are also recognized. Finally an alternative strategy of penalizing joints is presented.

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