To design a more economical structural form, it is necessary to optimize both the topology and shape of structures. To optimize topology, we propose a hybrid of Genetic Algorithm (GA) and Evolutionary Structural Optimization (ESO). This paper describes the considerations in applying the proposed method to topology structural optimization. Through numerical examples, the proposed method showed b...

Structural optimization tools have grasped enormous applications in engineering design and development activities because of increasing demands of lightweight and rigid products. In this milieu, researchers have exploited the potentials of nonparametric structural optimization tools like topology optimization by coupling and integrating with other compatible softwares. The first part of this pa...

This paper explores the possibilities of applying physics-informed neural networks (PINNs) in topology optimization (TO) by introducing a fully self-supervised TO framework that is based on PINNs. solves forward elasticity problem deep energy method (DEM). Instead training separate network to update density distribution, we leverage fact compliance minimization self-adjoint express element sens...