| 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 download vCard |
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
Scientific Publications in Refereed Journals | |
| [ 1 ] |
C. Xu, B.T. Cao, Y. Yuan, and G. 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, 133:108156, 2024 [ DOI | http ] |
| [ 2 ] |
C. Xu, B.T. Cao, Y. Yuan, and G. Meschke Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios Computer Method in Applied Mechanics and Engineering, 405:115852, 2023 [ DOI ] |
Scientific Publications in Conference Proceedings | |
| [ 3 ] |
C Xu, Z. Liu, B.T. Cao, X. Liu, and G Meschke Multi-fidelity operator learning for predicting mechanical behavior of tunnel linings under external loads In GeoShanghai 2024 International Conference, Shanghai, China, May 2024 |
| [ 4 ] |
C. Xu, B.T. Cao, and G Meschke Real-time settlement field reconstruction using deep operator networks In International Symposium on Innovations in Geotechnical Engineering towards Sustainability (IGES 2023), Hong Kong, China, December 2023 |
| [ 5 ] |
C. Xu, B.T. Cao, G. Meschke, and Y. Yuan Physics-informed neural networks with trainable weighted loss using uncertainty: applications to inverse analysis of tunnel rings In 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), Oslo, Norway, June 2022 |