| Dr. Chen Xu | |
 | Ruhr University Bochum Institute for Structural Mechanics IC / 6 / 159 Universitätsstraße 150 44801 Bochum Email: chen.xu@rub.de Tel: 0234 / 32-29051 download vCard |
| Since 2021 | Research Associate, Institute for Structural Mechanics, Ruhr University Bochum |
| 2017 - 2020 | Master student, Civil Engineering (Department of Geotechnical Engineering), Tongji University, China (Advisor: Prof. Dr. Yong Yuan) |
| 2013 - 2017 | Bachelor student, Civil Engineering, Central South University, China |
Publications | |
| 2026 | |
| [ 1 ] | Cao, Ba Trung; Meschke, Günther; Xu, Chen; Vu, Giao; Liu, Zhen; Diewald, Fabian; Yuan, Yong Bridging simulation and experiment: A self-supervised domain adaptation framework for concrete damage classification 2026 [ DOI ] |
| 2025 | |
| [ 2 ] | Ba Trung Cao; Guenther Meschke; Liu, Zhen; Liu, Xian; Yuan, Yong; Xu, Chen Mechanics of longitudinal joints in segmental tunnel linings: Role of connecting bolts Tunnelling and underground space technology, 2025 [ DOI ] |
| [ 3 ] | Giao Vu; Chen Xu; Ba Trung Cao; Günther Meschke Simulation-Based Early Damage Assessment in Concrete Structures Using Coda Wave Interferometry and Transformer Classifier 2025 [ DOI ] |
| 2024 | |
| [ 4 ] | Xu, C.; Liu, Z.; Cao, B.T.; Meschke, G.; Liu, X. Multifidelity operator learning for predicting displacement fields of tunnel linings under external loads IOP Conference Series: Earth and Environmental Science, 2024 [ DOI ] |
| [ 5 ] | Chen Xu; Ba Trung Cao; Yong Yuan; Günther Meschke A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction Engineering Applications of Artificial Intelligence, 2024-07 [ DOI ] |
| 2023 | |
| [ 6 ] | Huynh, G.D.; Zhuang, X.; Bui, H.-G.; Meschke, G.; Nguyen-Xuan, H. Elasto-plastic large deformation analysis of multi-patch thin shells by isogeometric approach arXiv, 2023 [ DOI ] |
| [ 7 ] | Chen Xu; Ba Trung Cao; Yong Yuan; Günther Meschke Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios Computer Methods in Applied Mechanics and Engineering, 2023-02 [ DOI ] |
| [ 8 ] | Xu, C.; Cao, B.T.; Yuan, Y.; Meschke, G. A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction arXiv, 2023 [ DOI ] |
| [ 9 ] | Xuan Thang Duong; Vu Ngoc Khiêm; Mikhail Itskov; Roger A. Sauer A general theory for anisotropic Kirchhoff-Love shells with in-plane bending of embedded fibers RWTH Aachen University, 2023 [ DOI ] |
| 2022 | |
| [ 10 ] | C. Xu; B.T. Cao ; Guenther Meschke; Y. Yuan Physics-informed neural networks with trainable weighted loss using uncertainty: applications to inverse analysis of tunnel rings 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), 2022 [ DOI ] |
| [ 11 ] | Cao, Ba Trung; Guenther Meschke; Xu, Chen; Yuan, Y. Physics-informed neural networks with trainable weighted loss using uncertainty: applications to inverse analysis of tunnel rings The 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022, 5-9 June 2022, Oslo, Norway, 2022 [ DOI ] |
| [ 12 ] | Xu, C.; Cao, B.T.; Yuan, Y.; Meschke, G. Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios arXiv, 2022 [ DOI ] |
| [ 13 ] | Philipp Quenzel; Hauke Kröger; Boris Manin; Khiêm Ngoc Vu; Thang Xuan Duong; Thomas Gries; Mikhail Itskov; Roger A. Sauer Material characterisation of biaxial glass-fibre non-crimp fabrics as a function of ply orientation, stitch pattern, stitch length and stitch tension Journal of Composite Materials, 2022-11 [ DOI ] |
| 2020 | |
| [ 14 ] | G.D. Huynh; X. Zhuang; H.G. Bui; G. Meschke; H. Nguyen-Xuan Elasto-plastic large deformation analysis of multi-patch thin shells by isogeometric approach Finite Elements in Analysis and Design, 2020-06 [ DOI ] |