2015
DOI: 10.1016/j.compstruct.2015.01.045
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Interface shape optimization of designing functionally graded sandwich structures

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Cited by 35 publications
(5 citation statements)
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“…presented an optimisation process to improve the performance of piezoelectric FG plates by analysing shape control using a multi-objective isogeometric integrated method. Jin and Masatoshi (2015) worked on minimising the flexibility of FG sandwich structures by conduct a reliable design and optimisation analysis using an interface shape method, taking into accounts the volume constraints of the FG part. Zhu et al (2009) presented an optimal study of sandwich panels under impact loading conditions to study the buckling behaviour considering the effect of different design parameters.…”
Section: Introductionmentioning
confidence: 99%
“…presented an optimisation process to improve the performance of piezoelectric FG plates by analysing shape control using a multi-objective isogeometric integrated method. Jin and Masatoshi (2015) worked on minimising the flexibility of FG sandwich structures by conduct a reliable design and optimisation analysis using an interface shape method, taking into accounts the volume constraints of the FG part. Zhu et al (2009) presented an optimal study of sandwich panels under impact loading conditions to study the buckling behaviour considering the effect of different design parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Shi and Shimoda [4] showed that the compliance of functionally graded sandwich structures can be reduced significantly by performing an interface shape optimization. Also regarding the design of sandwich structures, Loja et al [5] used PSO to maximize the bending stiffness of unidirectional FG beams considering a mass constraint.…”
Section: Introductionmentioning
confidence: 99%
“…In order to consider individual properties of practical problems and meet the desired implementation, it is necessary to determine the optimal volume fraction distribution in a FGP under certain constraints. In the foregoing work of optimizing the volume fraction distribution, which is also known as size optimization, the parameters of the distribution function are often taken as variables, and the objective function is defined according to the working conditions; the optimal volume fraction distribution can be obtained using an optimization method (Na and Kim 2009;Roque et al 2016;Daynes et al 2017;Shi and Shimoda 2015;Kou et al 2012). The optimization result depends on the selected distribution function; thus, this approach limits the material variability (Lieu and Lee 2017;Lieu et al 2018).…”
Section: Introductionmentioning
confidence: 99%