Kriging-assisted topology optimization of crash structures
Over the recent decades, Topology Optimization (TO) has become an important tool in the
design and analysis of mechanical structures. Although structural TO is already used in …
design and analysis of mechanical structures. Although structural TO is already used in …
Evolutionary black-box topology optimization: Challenges and promises
Black-box topology optimization (BBTO) uses evolutionary algorithms and other soft
computing techniques to generate near-optimal topologies of mechanical structures …
computing techniques to generate near-optimal topologies of mechanical structures …
High dimensional Bayesian optimization assisted by principal component analysis
Bayesian Optimization (BO) is a surrogate-assisted global optimization technique that has
been successfully applied in various fields, eg, automated machine learning and design …
been successfully applied in various fields, eg, automated machine learning and design …
Topology optimization of 3D-printed joints under crash loads using evolutionary algorithms
In order to take full advantage of the enormous design freedom offered by Additive
Manufacturing (AM) technologies, the use of Topology Optimization (TO) methods becomes …
Manufacturing (AM) technologies, the use of Topology Optimization (TO) methods becomes …
Methodology for parameter identification on a thermoplastic composite crash absorber by the Sequential Response Surface Method and Efficient Global Optimization
Numerical simulations for crashworthiness require the definition of material properties that
are not always predictable with standard experimental tests. This paper deals with the …
are not always predictable with standard experimental tests. This paper deals with the …
Constraining 3D geometric gravity inversion with 2D reflection seismic profile using a generalized level-set approach: application to Eastern Yilgarn craton
One of the main tasks in 3D geological modelling is the boundary parametrization of the
subsurface from geological observations and geophysical inversions. Several approaches …
subsurface from geological observations and geophysical inversions. Several approaches …
Identification of optimal topologies for continuum structures using metaheuristics: a comparative study
P Rostami, J Marzbanrad - Archives of Computational Methods in …, 2021 - Springer
The development of low dimensional explicit based topology optimization approaches such
as moving morphable components method increased the hopes to develop and expand …
as moving morphable components method increased the hopes to develop and expand …
Cooperative coevolutionary topology optimization using moving morphable components
P Rostami, J Marzbanrad - Engineering Optimization, 2021 - Taylor & Francis
This study aims to complement well-established methods based on gradients, such as
standard level-set optimization or density-based methods, and extend the field where …
standard level-set optimization or density-based methods, and extend the field where …
Learning-based topology variation in evolutionary level set topology optimization
The main goal in structural Topology Optimization is to find an optimal distribution of material
within a defined design domain, under specified boundary conditions. This task is frequently …
within a defined design domain, under specified boundary conditions. This task is frequently …
Hybrid algorithms for handling the numerical noise in topology optimization
P Rostami, J Marzbanrad - Acta Mechanica Sinica, 2020 - Springer
This paper presents new hybrid methods for the identification of optimal topologies by
combining the teaching–learning based optimization (TLBO) and the method of moving …
combining the teaching–learning based optimization (TLBO) and the method of moving …