2019
DOI: 10.1109/access.2019.2933853
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An Improved Guide-Weight Method Without the Sensitivity Analysis

Abstract: This paper proposes an improved guide-weight method, in which the sensitivity analysis does not need to be calculated. Based on the Kuhn-Tucker extreme condition, the general iterative criterion of the improved guide-weight method is derived by importing relational function. The iterative criterion directly constructs an explicit representation between the design variable and the objective function, which does not require sensitivity analysis. Taking the problem of minimum compliance as an example, the iterati… Show more

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Cited by 4 publications
(1 citation statement)
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References 39 publications
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“…Teimouri and Asgari 17 solved the checker-boarding and mesh dependency by obtaining the sensitivity number of each element from those of the nodes within the elemental filter radius for BESO method. Jiao et al 18 established an explicit relationship between the design variable and objective function in the iterative criteria of SIMP and RAMP models to improve the clarity of topology optimization structure. Zhang et al 19 modified the sensitivity analysis method of SIMP model by Helmholtz-type density filter and hyperbolic tangent function to make the topology structure boundary clear and smooth.…”
Section: Introductionmentioning
confidence: 99%
“…Teimouri and Asgari 17 solved the checker-boarding and mesh dependency by obtaining the sensitivity number of each element from those of the nodes within the elemental filter radius for BESO method. Jiao et al 18 established an explicit relationship between the design variable and objective function in the iterative criteria of SIMP and RAMP models to improve the clarity of topology optimization structure. Zhang et al 19 modified the sensitivity analysis method of SIMP model by Helmholtz-type density filter and hyperbolic tangent function to make the topology structure boundary clear and smooth.…”
Section: Introductionmentioning
confidence: 99%