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ORCIDAdvanced Modeling and Simulation in Engineering Sciences, Volume 10
Volume 10, Number 1, December 2023
- Kumpei Tsuji
, Mitsuteru Asai, Kiyonobu Kasama:
Seepage failure prediction of breakwater using an unresolved ISPH-DEM coupling method enriched with Terzaghi's critical hydraulic gradient. 1 - Mao Kurumatani, Takumi Kato, Hiromu Sasaki:
Damage model for simulating cohesive fracture behavior of multi-phase composite materials. 2 - Farouk Maaboudallah, Noureddine Atalla:
A "data-driven uncertainty" computational method to model and predict instabilities of a frictional system. 3 - Abel Sancarlos, Victor Champaney, Elías Cueto, Francisco Chinesta:
Regularized regressions for parametric models based on separated representations. 4 - Saddam Hijazi, Melina A. Freitag, Niels Landwehr:
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. 5 - Rishith Ellath Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, Kai-Uwe Bletzinger, Roland Wüchner:
Finite element method-enhanced neural network for forward and inverse problems. 6 - Azzedine Abdedou, Azzeddine Soulaïmani:
Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders. 7 - Hannes Fröck, Matthias Graser, Michael Reich, Michael Lechner, Marion Merklein, Olaf Kessler:
Numerical modelling of the process chain for aluminium Tailored Heat-Treated Profiles. 8 - Yi Zhang, Lars Mikelsons:
Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration. 9 - Ana C. Ordonez, Nicolas Tardieu, Carola Kruse, Daniel Ruiz, Sylvie Granet:
Scalable block preconditioners for saturated thermo-hydro-mechanics problems. 10 - Naoto Mitsume:
Compatible interface wave-structure interaction model for combining mesh-free particle and finite element methods. 11 - Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A DeepONet multi-fidelity approach for residual learning in reduced order modeling. 12 - Reika Nomura, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada:
On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests. 13 - Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann:
Solving multiphysics-based inverse problems with learned surrogates and constraints. 14 - Rajit Ranjan, Matthijs Langelaar, Fred van Keulen, Can Ayas:
Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes. 15 - Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer:
Real-world application of a discrete feedback control system for flexible biogas production. 16 - Pratyush Bhatt, Yash Kumar, Azzeddine Soulaïmani:
Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems. 17
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