Zobrazeno 1 - 10
of 2 054
pro vyhledávání: '"De Lorenzis, A."'
We propose a new second-order accurate lattice Boltzmann formulation for linear elastodynamics that is stable for arbitrary combinations of material parameters under a CFL-like condition. The construction of the numerical scheme uses an equivalent fi
Externí odkaz:
http://arxiv.org/abs/2408.01081
Autor:
Heinzmann, Jonas, Carrara, Pietro, Luo, Chenyi, Manav, Manav, Mishra, Akanksha, Nagaraja, Sindhu, Oudich, Hamza, Vicentini, Francesco, De Lorenzis, Laura
In the context of the Damage Mechanics Challenge, we adopt a phase-field model of brittle fracture to blindly predict the behavior up to failure of a notched three-point-bending specimen loaded under mixed-mode conditions. The beam is additively manu
Externí odkaz:
http://arxiv.org/abs/2405.19491
Autor:
Fuhg, Jan Niklas, Padmanabha, Govinda Anantha, Bouklas, Nikolaos, Bahmani, Bahador, Sun, WaiChing, Vlassis, Nikolaos N., Flaschel, Moritz, Carrara, Pietro, De Lorenzis, Laura
This review article highlights state-of-the-art data-driven techniques to discover, encode, surrogate, or emulate constitutive laws that describe the path-independent and path-dependent response of solids. Our objective is to provide an organized tax
Externí odkaz:
http://arxiv.org/abs/2405.03658
Autor:
Römer, Ulrich, Hartmann, Stefan, Tröger, Jendrik-Alexander, Anton, David, Wessels, Henning, Flaschel, Moritz, De Lorenzis, Laura
In the framework of solid mechanics, the task of deriving material parameters from experimental data has recently re-emerged with the progress in full-field measurement capabilities and the renewed advances of machine learning. In this context, new m
Externí odkaz:
http://arxiv.org/abs/2404.16980
We explore the potential of the deep Ritz method to learn complex fracture processes such as quasistatic crack nucleation, propagation, kinking, branching, and coalescence within the unified variational framework of phase-field modeling of brittle fr
Externí odkaz:
http://arxiv.org/abs/2404.13154
Autor:
Heinzmann, Jonas, Carrara, Pietro, Ambati, Marreddy, Mirzaei, Amir Mohammad, De Lorenzis, Laura
Phase-field models of fatigue are capable of reproducing the main phenomenology of fatigue behavior. However, phase-field computations in the high-cycle fatigue regime are prohibitively expensive, due to the need to resolve spatially the small length
Externí odkaz:
http://arxiv.org/abs/2404.07003
The automated discovery of constitutive laws forms an emerging research area, that focuses on automatically obtaining symbolic expressions describing the constitutive behavior of solid materials from experimental data. Existing symbolic/sparse regres
Externí odkaz:
http://arxiv.org/abs/2402.04263
Autor:
Yang, Shaohua, Gerber, Dominic, Feng, Yanxia, Bain, Nicolas, Kuster, Matthias, de Lorenzis, Laura, Xu, Ye, Dufresne, Eric R., Style, Robert W.
It is widely known that freezing breaks soft, wet materials. However, the mechanism underlying this damage is still not clear. To understand this process, we freeze model, brittle hydrogel samples, while observing the growth of ice-filled cracks that
Externí odkaz:
http://arxiv.org/abs/2401.12871
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 417 (2023), 116346
The numerical simulation of additive manufacturing techniques promises the acceleration of costly experimental procedures to identify suitable process parameters. We recently proposed Floating Isogeometric Analysis (FLIGA), a new computational solid
Externí odkaz:
http://arxiv.org/abs/2306.07034
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
Autor:
Flaschel, Moritz, Yu, Huitian, Reiter, Nina, Hinrichsen, Jan, Budday, Silvia, Steinmann, Paul, Kumar, Siddhant, De Lorenzis, Laura
Publikováno v:
Journal of the Mechanics and Physics of Solids, 180 (2023) 105404
We propose an automated computational algorithm for simultaneous model selection and parameter identification for the hyperelastic mechanical characterization of human brain tissue. Following the motive of the recently proposed computational framewor
Externí odkaz:
http://arxiv.org/abs/2305.16362