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    ARTICLE

    Robust Topology Optimization of Periodic Multi-Material Functionally Graded Structures under Loading Uncertainties

    Xinqing Li1, Qinghai Zhao1,*, Hongxin Zhang1, Tiezhu Zhang2, Jianliang Chen1

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 683-704, 2021, DOI:10.32604/cmes.2021.015685 - 19 April 2021

    Abstract This paper presents a robust topology optimization design approach for multi-material functional graded structures under periodic constraint with load uncertainties. To characterize the random-field uncertainties with a reduced set of random variables, the Karhunen-Loève (K-L) expansion is adopted. The sparse grid numerical integration method is employed to transform the robust topology optimization into a weighted summation of series of deterministic topology optimization. Under dividing the design domain, the volume fraction of each preset gradient layer is extracted. Based on the ordered solid isotropic microstructure with penalization (Ordered-SIMP), a functionally graded multi-material interpolation model is formulated More >

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