Zeshang Li

TL;DR: Wang et al. as mentioned in this paper proposed a feature-driven robust topology optimization strategy considering movable non-design domain and complex uncertainty, and the sensitivity of the robust optimization model is derived based on the shape derivative principle, which provides the basis for the implementation of gradient based optimization algorithm.

TL;DR: In this article, a non-probabilistic reliability-based topology optimization (NRBTO) scheme for continuum structures based on the parameterized Level-Set method (PLSM) is conducted, in which the unknown-but-bounded (UBB) uncertainties of material and external loads are taken into account simultaneously.

TL;DR: A new layout optimization process which combines the hybrid uncertainty quantification analysis and non-probabilistic reliability-based topology optimization (NRBTO) is presented and several typical optimization cases are presented to demonstrate the validity and effectiveness of the developed methodology.

TL;DR: In this paper , the influence of multi-source hybrid uncertainties and defect damage in the design process and propose a concurrent reliability-based topology optimization design method based on the collocation method.

TL;DR: In this article , a robust topology optimization method considering bounded field parameters with uncertainties based on the variable time step parametric level set method is proposed, which can achieve better design results during topological optimization.