Zobrazeno 1 - 10
of 679
pro vyhledávání: '"Reese, Stefanie"'
Autor:
Curbach, Manfred, Hegger, Josef, Bielak, Jan, Schmidt, Christopher, Bosbach, Sven, Scheerer, Silke, Claßen, Martin, Simon, Jaan-Willem, Maas, Hans-Gerd, Vollpracht, Anya, Koch, Andreas, Hahn, Lars, Butler, Marko, Beckmann, Birgit, Adam, Viviane, Cherif, Chokri, Chudoba, Rostislav, Gries, Thomas, Günther, Edeltraud, Kaliske, Michael, Klinke, Sven, Löhnert, Stefan, Lautenschläger, Thea, Matschei, Thomas, Mechtcherine, Viktor, Nagel, Wolfgang E., Neinhuis, Christoph, Niemeyer, Alice, Noennig, Jörg Rainer, Raupach, Michael, Reese, Stefanie, Scheffler, Christina, Schladitz, Frank, Traverso, Marzia, Marx, Steffen
In civil engineering, carbon is typically regarded as a modern material to serve as reinforcement in concrete structures. Compared to steel reinforcement, it features two substantial benefits: It is not sensitive to corrosion, and has an enormously i
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A93670
https://tud.qucosa.de/api/qucosa%3A93670/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A93670/attachment/ATT-0/
Schalentragwerke sind aufgrund ihres vorteilhaften Lastabtragverhaltens im Membranzustand sehr geeignet für die Herstellung leichter Tragwerke. Der Schwerpunkt dieses Projekts liegt auf der Entwicklung einer geeigneten numerischen Methode, um mögli
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A80017
https://tud.qucosa.de/api/qucosa%3A80017/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A80017/attachment/ATT-0/
The revolutionary advancements in metal additive manufacturing have enabled the production of alloy-based lattice structures with complex geometrical features and high resolutions. This has encouraged the development of nonlinear material models, inc
Externí odkaz:
http://arxiv.org/abs/2409.17293
Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties heavily influenced by their underlying structural geometry and base material properties. While periodic homogenization of auxetic unit cells can be use
Externí odkaz:
http://arxiv.org/abs/2408.13532
This paper establishes a universal framework for the nonlocal modeling of anisotropic damage at finite strains. By the combination of two recent works, the new framework allows for the flexible incorporation of different established hyperelastic fini
Externí odkaz:
http://arxiv.org/abs/2408.06140
In this work, we present a model order reduction technique for nonlinear structures assembled from components.The reduced order model is constructed by reducing the substructures with proper orthogonal decomposition and connecting them by a mortar-ti
Externí odkaz:
http://arxiv.org/abs/2407.02072
Numerical simulations are crucial for comprehending how engineering structures behave under extreme conditions, particularly when dealing with thermo-mechanically coupled issues compounded by damage-induced material softening. However, such simulatio
Externí odkaz:
http://arxiv.org/abs/2407.02435
Autor:
Yamazaki, Yusuke, Harandi, Ali, Muramatsu, Mayu, Viardin, Alexandre, Apel, Markus, Brepols, Tim, Reese, Stefanie, Rezaei, Shahed
Publikováno v:
Eng. Comput., 1-29 (2024)
We propose a novel finite element-based physics-informed operator learning framework that allows for predicting spatiotemporal dynamics governed by partial differential equations (PDEs). The proposed framework employs a loss function inspired by the
Externí odkaz:
http://arxiv.org/abs/2405.12465
Autor:
Rezaei, Shahed, Asl, Reza Najian, Faroughi, Shirko, Asgharzadeh, Mahdi, Harandi, Ali, Koopas, Rasoul Najafi, Laschet, Gottfried, Reese, Stefanie, Apel, Markus
To obtain fast solutions for governing physical equations in solid mechanics, we introduce a method that integrates the core ideas of the finite element method with physics-informed neural networks and concept of neural operators. This approach gener
Externí odkaz:
http://arxiv.org/abs/2404.00074
Autor:
Ranno, Anna, Manjunatha, Kiran, Glitz, Anne, Schaaps, Nicole, Reese, Stefanie, Vogt, Felix, Behr, Marek
In this work, we investigate the effects of stent indentation on hemodynamic indicators in stented coronary arteries. Our aim is to assess in-silico risk factors for in-stent restenosis (ISR) and thrombosis after stent implantation. The proposed mode
Externí odkaz:
http://arxiv.org/abs/2401.08701