75 citations · 460 across the 33 of their papers we have counts for
34 papers
Reduced order modeling for micromorphic computational homogenization of mechanical metamaterials with patterning fluctuation fields
Theron Guo, Ondřej Rokoš
Mechanical metamaterials owe some of their exotic effective properties to microstructural instabilities such as buckling and pattern transformation. Their fine-scale geometry, comb…
A Quasicontinuum Method with Optimized Local Maximum-Entropy Interpolation and Heaviside Enrichment for Heterogeneous Lattices
Benjamin Werner, Ondřej Rokoš, Jan Zeman
Lattice systems are effective for modeling heterogeneous materials, but their computational cost is often prohibitive. The QuasiContinuum (QC) method reduces this cost by interpola…
Non-uniform pneumatic actuation switches macroscopic properties of elastomeric honeycombs
Ondřej Faltus, Martin Doškář, Jan Havelka +2
Honeycomb microstructures with circular voids are well known to undergo pattern transformations under macroscopic strain loading. Depending on the biaxiality of the applied strain,…
Auto-Regressive U-Net for Full-Field Prediction of Shrinkage-Induced Damage in Concrete
Liya Gaynutdinova, Petr Havlásek, Ondřej Rokoš +2
This paper introduces a deep learning approach for predicting time-dependent full-field damage in concrete. The study uses an auto-regressive U-Net model to predict the evolution o…
Homogenization with Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks
Liya Gaynutdinova, Martin Doškář, Ondřej Rokoš +1
Physics-informed neural networks (PINNs) have shown promise in solving partial differential equations (PDEs) relevant to multiscale modeling, but they often fail when applied to ma…
Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems
Fleur Hendriks, Ondřej Rokoš, Martin Doškář +2
Bifurcation phenomena in nonlinear dynamical systems often lead to multiple coexisting stable solutions, particularly in the presence of symmetry breaking. Deterministic machine le…
Wallpaper Group-Based Mechanical Metamaterials: Dataset Including Mechanical Responses
Fleur Hendriks, Vlado Menkovski, Martin Doškář +3
Mechanical metamaterials often exhibit pattern transformations through instabilities, enabling applications in, e.g., soft robotics, sound reduction, and biomedicine. These transfo…
Towards active stiffness control in pattern-forming pneumatic metamaterials
Ondřej Faltus, Milan Jirásek, Martin Horák +4
Pattern-forming metamaterials feature microstructures specifically designed to change the material's macroscopic properties due to internal instabilities. These can be triggered ei…
Harvesting Deformation Modes for Micromorphic Homogenization from Experiments on Mechanical Metamaterials
S. Maraghechi, O. Rokoš, R. H. J. Peerlings +2
A micromorphic computational homogenization framework has recently been developed to deal with materials showing long-range correlated interactions, i.e. displaying patterning mode…
Third Medium Finite Element Contact Formulation for Pneumatically Actuated Systems
Ondřej Faltus, Martin Horák, Martin Doškář +1
Mechanical metamaterials are artificially engineered microstructures that exhibit novel mechanical behavior on the macroscopic scale. Active metamaterials can be externally control…
Reduced-order modeling for second-order computational homogenization with applications to geometrically parameterized elastomeric metamaterials
T. Guo, V. G. Kouznetsova, M. G. D. Geers +2
The structural properties of mechanical metamaterials are typically studied with two-scale methods based on computational homogenization. Because such materials have a complex micr…
Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials
Fleur Hendriks, Vlado Menkovski, Martin Doškář +2
Soft, porous mechanical metamaterials exhibit pattern transformations that may have important applications in soft robotics, sound reduction and biomedicine. To design these innova…
Extended Quasicontinuum Methodology for Highly Heterogeneous Discrete Systems
Benjamin Werner, Ondřej Rokoš, Jan Zeman
Lattice networks are indispensable to study heterogeneous materials such as concrete or rock as well as textiles and woven fabrics. Due to the discrete character of lattices, they…
A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations
Theron Guo, Ondřej Rokoš, Karen Veroy
In recent years, there has been a growing interest in understanding complex microstructures and their effect on macroscopic properties. In general, it is difficult to derive an eff…
A Comparative Study of Enriched Computational Homogenization Schemes Applied to Two-Dimensional Pattern-Transforming Elastomeric Mechanical Metamaterials
S. O. Sperling, T. Guo, R. H. J. Peerlings +3
Elastomeric mechanical metamaterials exhibit unconventional behaviour, emerging from their microstructures often deforming in a highly nonlinear and unstable manner. Such microstru…
Bayesian Approach to Micromechanical Parameter Identification Using Integrated Digital Image Correlation
Liya Gaynutdinova, Ondřej Rokoš, Jan Havelka +2
Materials with heterogeneous structures exhibit complex physical processes such as delamination, cracks, and plasticity, which require micromechanical parameters for understanding.…
Integrated Digital Image Correlation for Micro-Mechanical Parameter Identification in Multiscale Experiments
O. Rokoš, R. H. J. Peerlings, J. P. M. Hoefnagels +1
Micromechanical constitutive parameters are important for many engineering materials, typically in microelectronic applications and material design. Their accurate identification p…
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations
Theron Guo, Francesco A. B. Silva, Ondřej Rokoš +1
Understanding structure-property relations is essential to optimally design materials for specific applications. Two-scale simulations are often employed to analyze the effect of t…
Comparative study of multiscale computational strategies for materials with discrete microstructures
K. Mikeš, F. Bormann, O. Rokoš +1
The evolution of local defects such as dislocations and cracks often determines the performance of engineering materials. For a proper description and understanding of these phenom…
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method
Theron Guo, Ondřej Rokoš, Karen Veroy
In order to optimally design materials, it is crucial to understand the structure-property relations in the material by analyzing the effect of microstructure parameters on the mac…
A Newton Solver for Micromorphic Computational Homogenization Enabling Multiscale Buckling Analysis of Pattern-Transforming Metamaterials
S. E. H. M. van Bree, O. Rokoš, R. H. J. Peerlings +2
Mechanical metamaterials feature engineered microstructures designed to exhibit exotic, and often counter-intuitive, effective behaviour. Such a behaviour is often achieved through…
Level set based eXtended finite element modelling of the response of fibrous networks under hygroscopic swelling
P. Samantray, R. H. J. Peerlings, E. Bosco +3
Materials like paper, consisting of a network of natural fibres, exposed to variations in moisture, undergo changes in geometrical and mechanical properties. This behaviour is part…
Experimental Full-field Analysis of Size Effects in Miniaturized Cellular Elastomeric Metamaterials
S. Maraghechi, J. P. M. Hoefnagels, R. H. J. Peerlings +2
Cellular elastomeric metamaterials are interesting for various applications, e.g. soft robotics, as they may exhibit multiple microstructural pattern transformations, each with its…
Extended Micromorphic Computational Homogenization for Mechanical Metamaterials Exhibiting Multiple Geometric Pattern Transformations
O. Rokoš, M. M. Ameen, R. H. J. Peerlings +1
Honeycomb-like microstructures have been shown to exhibit local elastic buckling under compression, with three possible geometric buckling modes, or pattern transformations. The in…