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Ba Trung Cao
Ba Trung Cao
Institute for Structural Mechanics, Ruhr University Bochum
Verified email at rub.de - Homepage
Title
Cited by
Cited by
Year
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
992018
Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios
C Xu, BT Cao, Y Yuan, G Meschke
Computer Methods in Applied Mechanics and Engineering 405, 115852, 2023
81*2023
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
532016
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
512020
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
302015
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
172022
Active learning for accurate settlement prediction using numerical simulations in mechanized tunneling
A Saadallah, A Egorov, BT Cao, S Freitag, K Morik, G Meschke
Procedia CIRP 81, 1052-1058, 2019
152019
A fuzzy surrogate modelling approach for real-time predictions in mechanised tunnelling
BT Cao, S Freitag, G Meschke
International Journal of Reliability and Safety 12 (1-2), 187-217, 2018
132018
Surrogate modeling for mechanized tunneling simulations with uncertain data
S Freitag, BT Cao, J Ninic, G Meschke
Proceedings of the 6th International Workshop on Reliable Engineering …, 2014
122014
Surrogate modeling for interactive tunnel track design using the cut finite element method
HG Bui, BT Cao, S Freitag, K Hackl, G Meschke
Engineering with Computers 39 (6), 4025-4043, 2023
102023
Online geological anomaly detection using machine learning in mechanized tunneling
BT Cao, A Saadallah, A Egorov, S Freitag, G Meschke, K Morik
Challenges and Innovations in Geomechanics: Proceedings of the 16th …, 2021
102021
A simulation-based software to support the real-time operational parameters selection of tunnel boring machines
Y Zendaki, BT Cao, A Alsahly, S Freitag, G Meschke
Underground Space 14, 176-196, 2024
82024
Concepts for Reliability Analyses in Mechanised Tunnelling--Part1: Theory
S Freitag, MF Beers, KK Phoon, J Stascheit, J Ninic, BT Cao, G Meschke
Proceedings of the Third International Conference on Computational Methods …, 2013
82013
Concepts for Reliability Analyses in Mechanised Tunnelling--Part 2: Application
S Freitag, MF Beers, KK Phoon, J Stascheit, J Ninic, BT Cao, G Meschke
Proceedings of the Third International Conference on Computational Methods …, 2013
82013
Big data and simulation–A new approach for real-time TBM steering
G Meschke, BT Cao, S Freitag, A Egorov, A Saadallah, K Morik
Tunnels and Underground Cities: Engineering and Innovation meet Archaeology …, 2020
52020
A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnelling. Adv Model Simul Eng Sci 3: 5
BT Cao, S Freitag, G Meschke
52016
Enhanced monitoring and simulation assisted tunnelling (emsat)
BT Cao, K Chmelina, J Stascheit, G Meschke
Computational methods in tunnelling and subsurface engineering (EURO: TUN …, 2013
52013
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
C Xu, BT Cao, Y Yuan, G Meschke
Engineering Applications of Artificial Intelligence 133, 108156, 2024
32024
Reliability analysis and real-time predictions in mechanized tunneling
G Meschke, BT Cao, S Freitag
Resilience engineering for urban tunnels, 13-27, 2018
22018
Hybrid rnn-gpod surrogate model for simulation and monitoring supported tbm steering
S Freitag, BT Cao, J Ninic, G Meschke
Civil-Comp Proceedings, 2015
22015
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