Takip et
Steffen Freitag
Steffen Freitag
Institute for Structural Analysis, Karlsruhe Institute of Technology (KIT)
kit.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes
S Freitag, BT Cao, J Ninić, G Meschke
Computers & Structures 207, 258-273, 2018
1122018
A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering
J Ninić, S Freitag, G Meschke
Tunnelling and Underground Space Technology 63, 12-28, 2017
852017
Recurrent neural networks for uncertain time‐dependent structural behavior
W Graf, S Freitag, M Kaliske, JU Sickert
Computer‐Aided Civil and Infrastructure Engineering 25 (5), 322-323, 2010
832010
Recurrent neural networks for fuzzy data
S Freitag, W Graf, M Kaliske
Integrated Computer-Aided Engineering 18 (3), 265-280, 2011
692011
Artificial neural network surrogate modelling for real-time predictions and control of building damage during mechanised tunnelling
BT Cao, M Obel, S Freitag, P Mark, G Meschke
Advances in Engineering Software 149, 102869, 2020
652020
A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnelling
BT Cao, S Freitag, G Meschke
Advanced Modeling and Simulation in Engineering Sciences 3 (1), 5, 2016
612016
Structural analysis with fuzzy data and neural network based material description
W Graf, S Freitag, JU Sickert, M Kaliske
Computer‐Aided Civil and Infrastructure Engineering 27 (9), 640-654, 2012
612012
Modeling of materials with fading memory using neural networks
M Oeser, S Freitag
International journal for numerical methods in engineering 78 (7), 843-862, 2009
552009
Lifetime prediction using accelerated test data and neural networks
S Freitag, M Beer, W Graf, M Kaliske
Computers & Structures 87 (19-20), 1187-1194, 2009
432009
Prediction of time-dependent structural behaviour with recurrent neural networks for fuzzy data
S Freitag, W Graf, M Kaliske, JU Sickert
Computers & Structures 89 (21-22), 1971-1981, 2011
422011
A material description based on recurrent neural networks for fuzzy data and its application within the finite element method
S Freitag, W Graf, M Kaliske
Computers & Structures 124, 29-37, 2013
382013
Multilevel surrogate modeling approach for optimization problems with polymorphic uncertain parameters
S Freitag, P Edler, K Kremer, G Meschke
International Journal of Approximate Reasoning 119, 81-91, 2020
352020
Hybrid surrogate modelling for mechanised tunnelling simulations with uncertain data
S Freitag, BT Cao, J Ninić, G Meschke
International Journal of Reliability and Safety 9 (2/3), 154-173, 2015
312015
Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks
P Weber, W Wagner, S Freitag
Computational Mechanics 72 (4), 827-857, 2023
262023
Reliability-based optimization of structural topologies using artificial neural networks
S Freitag, S Peters, P Edler, G Meschke
Probabilistic Engineering Mechanics 70, 103356, 2022
252022
Real-time risk assessment of tunneling-induced building damage considering polymorphic uncertainty
BT Cao, M Obel, S Freitag, L Heußner, G Meschke, P Mark
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2022
252022
Optimization approaches for the numerical design of structures under consideration of polymorphic uncertain data
P Edler, S Freitag, K Kremer, G Meschke
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2019
222019
Fractional derivatives and recurrent neural networks in rheological modelling–part I: theory
M Oeser, S Freitag
International Journal of Pavement Engineering 17 (2), 87-102, 2016
222016
Damage assessment concepts for urban structures during mechanized tunneling
M Obel, A Marwan, A Alsahly, S Freitag, P Mark, G Meschke
Bauingenieur 93, 482-491, 2018
20*2018
Numerical simulation in mechanized tunneling in urban environments in the framework of a tunnel information model
G Meschke, S Freitag, A Alsahly, J Ninic, S Schindler, C Koch
Bauingenieur 89, 457-466, 2014
20*2014
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Makaleler 1–20