Neural network-based generative models have been actively investigated as an inverse
design method for finding novel materials in a vast design space. However, the applicability …

This study presents new framework in which the representative volume element (RVE)
method and machine learning (ML) model are used to construct continuous anisotropic …

This paper proposes a topology optimization method that is capable of simultaneous design
for structural topology, stiff material (ie fiber) layout, and its orientations in functionally …

In this paper, we propose a novel and systematic phase field-based multiscale topology
optimization method for porous structures design. The multi-regional microstructural …

Lattice structures are increasingly used in practical engineering due to their excellent
mechanical properties such as light weight, high load-bearing capacity, and high ductility. In …

The paper is devoted to the optimization of axisymmetric structures made of functionally
graded materials and subject to mechanical and thermal loads. The novelty of the results is …

The current study enhances the performance of solid-network triply periodic minimal surface
(TPMS) cellular materials through using cell size grading along with the Taguchi method …

This paper is devoted to the minimization of the stress concentration factor in infinite plates
with circular hole made of functionally graded materials and subjected to a far-field uniform …

In this paper, a phase-field approach for structural topology optimization for a 3D-printing
process which includes stress constraints and potentially multiple materials or multiscales is …

This paper presents an extension for the Proportional Topology Optimization (PTO)
algorithm to solve multi-material topology optimization of compliant mechanism problems …