default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAdvanced Modeling and Simulation in Engineering Sciences, Volume 9
Volume 9, Number 1, December 2022
- Hanane Khatouri
, Tariq Benamara, Piotr Breitkopf, Jean Demange:
Metamodeling techniques for CPU-intensive simulation-based design optimization: a survey. 1 - Mohammad Javad Kazemzadeh-Parsi, Amine Ammar, Francisco Chinesta:
Domain decomposition involving subdomain separable space representations for solving parametric problems in complex geometries. 2 - Nissrine Akkari, Fabien Casenave, David Ryckelynck, Christian Rey:
An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems. 3 - Morgane Chapelier, Robin Bouclier, Jean-Charles Passieux:
Spline-based specimen shape optimization for robust material model calibration. 4 - Fabio Giampaolo, Mariapia De Rosa, Pian Qi, Stefano Izzo, Salvatore Cuomo:
Physics-informed neural networks approach for 1D and 2D Gray-Scott systems. 5 - Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière:
A comparison of mixed-variables Bayesian optimization approaches. 6 - Harald Willmann, Wolfgang A. Wall:
Inverse analysis of material parameters in coupled multi-physics biofilm models. 7 - Jan Oldenburg, Finja Borowski, Alper Öner, Klaus-Peter Schmitz, Michael Stiehm:
Geometry aware physics informed neural network surrogate for solving Navier-Stokes equation (GAPINN). 8 - Nora Hagmeyer, Matthias Mayr, Ivo Steinbrecher, Alexander Popp:
One-way coupled fluid-beam interaction: capturing the effect of embedded slender bodies on global fluid flow and vice versa. 9 - Sebastián Cedillo, Ana-Gabriela Núñez, Esteban Sánchez-Cordero, Luis Timbe, Esteban Samaniego, Andrés Alvarado Martínez:
Physics-Informed Neural Network water surface predictability for 1D steady-state open channel cases with different flow types and complex bed profile shapes. 10 - E. Rajasekhar Nicodemus:
A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications. 11 - Valerie A. Martin, Reuben H. Kraft, Thomas H. Hannah, Stephen Ellis:
An energy-based study of the embedded element method for explicit dynamics. 12 - Terrin Stachiw, Alexander Crain, Joseph Ricciardi:
A physics-based neural network for flight dynamics modelling and simulation. 13 - Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei:
Numerical modeling of the propagation process of landslide surge using physics-informed deep learning. 14 - Miguel Masó, Alessandro Franci, Ignasi de-Pouplana, Alejandro Cornejo, Eugenio Oñate:
A Lagrangian-Eulerian procedure for the coupled solution of the Navier-Stokes and shallow water equations for landslide-generated waves. 15 - Veronika Singer, Klaus B. Sautter, Antonia Larese, Roland Wüchner, Kai-Uwe Bletzinger:
A partitioned material point method and discrete element method coupling scheme. 16 - Manyu Xiao, Jun Ma, Dongcheng Lu, Balaji Raghavan, Weihong Zhang:
Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling. 17 - Christian Burkhardt, Paul Steinmann, Julia Mergheim:
Thermo-mechanical simulations of powder bed fusion processes: accuracy and efficiency. 18 - Brubeck L. Freeman:
A multi-point constraint unfitted finite element method. 19 - Jonghyuk Baek, Ryan T. Schlinkman, Frank N. Beckwith, Jiun-Shyan Chen:
A deformation-dependent coupled Lagrangian/semi-Lagrangian meshfree hydromechanical formulation for landslide modeling. 20 - Francisco Chinesta, Elías Cueto:
Empowering engineering with data, machine learning and artificial intelligence: a short introductive review. 21 - Sergio R. Idelsohn, Juan M. Giménez, Norberto M. Nigro:
The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model. 22 - Muhammad Altaf Khattak, Mian Ilyas Ahmad, Lihong Feng, Peter Benner:
Multivariate moment-matching for model order reduction of quadratic-bilinear systems using error bounds. 23 - Harald Willmann, Jonas Nitzler, Sebastian Brandstaeter, Wolfgang A. Wall:
Bayesian calibration of coupled computational mechanics models under uncertainty based on interface deformation. 24
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-03-04 01:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
