M.Eng. Chen Xu
Ruhr University Bochum
Institute for Structural Mechanics
IC / 6 / 159
Universitätsstraße 150
44801 Bochum

Email: chen.xu@rub.de
Tel: 0234 / 32-29064

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Curriculum Vitae


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

    2024
    [ 1 ]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 ]
    [ 2 ]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
    [ 3 ]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 ]
    [ 4 ]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 ]
    [ 5 ]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 ]
    2022
    [ 6 ]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 ]
    [ 7 ]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 ]
    [ 8 ]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 ]
    [ 9 ]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 ]
    2020
    [ 10 ]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 ]