publications

journal and conference papers

2023

  1. MSSP.jpg
    A Bayesian Augmented-Learning Framework for Spectral Uncertainty Quantification of Incomplete Records of Stochastic Processes
    Mechanical Systems and Signal Processing, 2023
  2. EESD.jpg
    A physics-informed Bayesian framework for characterizing ground motion process in the presence of missing data
    Earthquake Engineering & Structural Dynamics, 2023
  3. UNCECOMP2023.png
    Spectral Density Estimation Of Stochastic Processes Under Missing Data And Uncertainty Quantification With Bayesian Deep Learning
    In 5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023

2022

  1. ISRERM.png
    Uncertainty Quantification Over Spectral Estimation of Stochastic Processes Subject to Gapped Missing Data Using Variational Bayesian Inference
    In Proceedings of the 8th Intl. Symp. on Reliability Engineering and Risk Management, 2022
  2. ESREL2022.jpg
    Uncertainty quantification over spectral density estimation for strong motion process with missing data
    In Proceedings of the 32nd European Safety and Reliability Conference, 2022

2021

  1. 17wcee2021.png
    Concurrent Seismic Events Identification Using Deep Learning
    Yu Chen, M.H Yen, R. Zaccarelli, D. Bindi, Benjamin Edwards, and Edoardo Patelli
    In Proceedings of the 17th World Conference on Earthquake Engineering, 2021

2020

  1. EwC.jpg
    New collocation method for stochastic response surface reliability analyses
    Peng Zeng, Tianbin Li, Yu Chen, Rafael Jimenez, Xianda Feng, and Salvador Senent
    Engineering with Computers, 2020
  2. RMRE.jpg
    Dynamic and probabilistic multi-class prediction of tunnel squeezing intensity
    Yu Chen, Tianbin Li, Peng Zeng, Junjie Ma, Edoardo Patelli, and Ben Edwards
    Rock Mechanics and Rock Engineering, 2020
  3. esrel2020.png
    Decision Making for Optimal Primary-Support Selection to Minimise TunnelSqueezing Risk
    Yu ChenEdoardo Patelli, Peng Zeng, Benjamin Edwards, Tianbin Li, and Michael Beer
    In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 2020

2018

  1. EwC.jpg
    Extension of quasi-Newton approximation-based SORM for series system reliability analysis of geotechnical problems
    Peng Zeng, Tianbin Li, Rafael Jimenez, Xianda Feng, and Yu Chen
    Engineering with Computers, 2018