Sizing, shape and topology optimization of trusses with energy approach

Hoang Nguyen; Jaehong Lee

doi:10.12989/sem.2015.56.1.107

Sizing, shape and topology optimization of trusses with energy approach

Hoang Nguyen, Jaehong Lee^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

The main objective of this research is to present the procedures of combining topology, shape & sizing optimization for truss structure by employing strain energy as objective function under the constraints of volume fractions which yield more general solution than that of total weight approach. Genetic Algorithm (GA) is used as searching engine for the convergence solution. A number of algorithms from previous research are used for evaluating the feasibility and stability of candidate to accelerate convergence and reduce the computational effort. It is followed by solving problem for topology & shape optimization and topology, shape & sizing optimization of truss structure to illustrate the feasibility of applying the objective function of strain energy throughout optimization stages.

Original language	English
Pages (from-to)	107-121
Number of pages	15
Journal	Structural Engineering and Mechanics
Volume	56
Issue number	1
DOIs	https://doi.org/10.12989/sem.2015.56.1.107
Publication status	Published - 10 Oct 2015
Externally published	Yes

Keywords

Genetic algorithm
Kinematic stability
Strain energy
Topology optimization
Truss optimization

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10.12989/sem.2015.56.1.107

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AB - The main objective of this research is to present the procedures of combining topology, shape & sizing optimization for truss structure by employing strain energy as objective function under the constraints of volume fractions which yield more general solution than that of total weight approach. Genetic Algorithm (GA) is used as searching engine for the convergence solution. A number of algorithms from previous research are used for evaluating the feasibility and stability of candidate to accelerate convergence and reduce the computational effort. It is followed by solving problem for topology & shape optimization and topology, shape & sizing optimization of truss structure to illustrate the feasibility of applying the objective function of strain energy throughout optimization stages.

KW - Genetic algorithm

KW - Kinematic stability

KW - Strain energy

KW - Topology optimization

KW - Truss optimization

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Sizing, shape and topology optimization of trusses with energy approach

Abstract

Keywords

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