Journal Article

Robust Topology Optimization of Continuum Structures under the Hybrid Uncertainties: A Comparative Study

Kolahdooz, Amin, Zhang, Jian, Latifi Rostami, Seyyed Ali, Li, Muxi, Chung, Hayoung

2023

Overview

Due to the inevitable involvement of multisource uncertainties related to the load, material property and geometry in practical engineering designs, robust topology optimization (RTO) has recently attracted increasing attention to account for these uncertain effects. However, the majority of the existing RTO works are concerned with single source uncertainty, and very few studies have considered the multisource (hybrid) uncertainties simultaneously. To this end, a comparative study on the hybrid uncertainties (HU), i.e., material-loading, geometric-loading, material-geometric, and material-geometric-loading uncertainties, for RTO of continuum structures is presented in this paper. A truncated Karhunen-Loeve expansion is adopted for uncertainty representation and a sparse grid collocation method for uncertainty propagation of the objective function and constraints. Effects of the various HU on the compliance and robust design are comprehensively investigated and compared with the RTO models under individual component uncertainty using two continuum benchmarks. An important observation from the results is that the hybrid uncertainty model is a conservative state, and the resulting RTO designs tend towards those with loading uncertainty only.

• Publisher: Periodica Polytechnica, Budapest University of Technology and Economics
• Subject: Benchmarks / Civil engineering / Collocation methods / Comparative analysis / Comparative studies / Compliance / Geometry / Karhunen-Loeve expansion / Material properties / Objective function / Optimization / Robust design / Topology / Topology optimization / Uncertainty