Continuum topology optimization considering uncertainties in load locations based on the cloud model. Issue 6 (3rd June 2018)

• Record Type: Journal Article
• Authors: Liu, Jie; Wen, Guilin
• Is Part Of: Engineering optimization. Volume 50:Issue 6(2018)
• Page Start: 1041
• Page End: 1060
• Publication Date: 2018-06-03
• Subjects: Topology optimization -- load location uncertainty -- cloud model -- BESO method; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1361417
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Few researchers have paid attention to designing structures in consideration of uncertainties in the loading locations, which may significantly influence the structural performance. In this work, cloud models are employed to depict the uncertainties in the loading locations. A robust algorithm is developed in the context of minimizing the expectation of the structural compliance, while conforming to a material volume constraint. To guarantee optimal solutions, sufficient cloud drops are used, which in turn leads to low efficiency. An innovative strategy is then implemented to enormously improve the computational efficiency. A modified soft-kill bi-directional evolutionary structural optimization method using derived sensitivity numbers is used to output the robust novel configurations. Several numerical examples are presented to demonstrate the effectiveness and efficiency of the proposed algorithm.