Bi-directional evolutionary method for stiffness optimisation

Yang, Xiaoying; Xie, Yi Min; Steven, Grant P.; Querin, Osvaldo M.

doi:10.2514/6.1998-4900

Cited by 23 publications

(18 citation statements)

References 47 publications

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“…There have been extensive literatures on ESO and BESO application for stiffness optimisation, which interested readers can be referred [6,[13][14][15]. In the following three sections.…”

Section: Stiffness Optimisationmentioning

confidence: 99%

Evolutionary methods for topology optimisation of continuous structures with design dependent loads

Yang

Xie

Steven

2005

Computers & Structures

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“…There have been extensive literatures on ESO and BESO application for stiffness optimisation, which interested readers can be referred [6,[13][14][15]. In the following three sections.…”

Section: Stiffness Optimisationmentioning

confidence: 99%

Evolutionary methods for topology optimisation of continuous structures with design dependent loads

Yang

Xie

Steven

2005

Computers & Structures

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“…As one of the topology optimization methods, the bidirectional evolutionary structural optimization (BESO) method (Yang et al, 1999) was suggested by the same authors in the late 1990s. Recently, an improved BESO (Hung and Xie, 2007) method was introduced by improving the filter scheme used to suppress the checkerboard pattern in BESO.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based topology optimization based on bidirectional evolutionary structural optimization using multi-objective sensitivity numbers

Cho

Park

Ryu

et al. 2011

Int.J Automot. Technol.

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Reliability-based topology optimization (RBTO) is used to obtain an optimal topology satisfying given constraints, as well as to consider uncertainties in design variables. In this study, RBTO was applied to obtain an optimal topology for the inner reinforcement of a vehicle's hood based on bidirectional evolutionary structural optimization (BESO). A multi-objective topology optimization technique was implemented to obtain the optimal topology for two models with different curvatures while simultaneously considering the static stiffness of bending, torsion, and natural frequency. A performance measure approach (PMA) with probabilistic constraints formulated in terms of the reliability index was employed to evaluate the probabilistic constraints. The optimal topology obtained by RBTO was evaluated and compared to that obtained by deterministic topology optimization (DTO). A more suitable topology was obtained through RBTO than DTO even though the final volume obtained by RBTO was generally slightly greater than that obtained by DTO. The multiobjective optimization technique based on BESO can be applied very effectively with topology optimization for a vehicle's hood reinforcement.

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“…Evolutionary algorithms are a popular and robust strategy for structure optimization. Especially the evolutionary structure optimization (ESO) has been applied widely in solving structural topology optimization problems [12,13,14]. These methods have special characteristics such as parallel computing and globally optimum searching.…”

Section: Introductionmentioning

confidence: 99%

“…Salami and Hendtlass [8] proposed a "fast evolutionary algorithm" that does not evaluate all new individuals, in which fitness and associated reliability value are assigned to each new individual that is evaluated using the true fitness function only if the reliability value is below a threshold. In 1992, Xie and Steven [9,12,13] proposed the ESO and bidirectional ESO (BESO) approach [13] for topology optimization and applied to the optimization of structures successfully. During implementation of the method, elements are gradually removed from the structure by altering the material properties.…”

Section: Introductionmentioning

confidence: 99%