Suivre
Xinyu Jia
Xinyu Jia
Hebei University of Technology
Adresse e-mail validée de uth.gr
Titre
Citée par
Citée par
Année
A computational framework of kinematic accuracy reliability analysis for industrial robots
J Wu, D Zhang, J Liu, X Jia, X Han
Applied Mathematical Modelling 82, 189-216, 2020
662020
A new uncertainty propagation method for problems with parameterized probability-boxes
HB Liu, C Jiang, XY Jia, XY Long, Z Zhang, FJ Guan
Reliability Engineering & System Safety 172, 64-73, 2018
502018
Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features
X Jia, O Sedehi, C Papadimitriou, LS Katafygiotis, B Moaveni
Mechanical Systems and Signal Processing 170, 108784, 2022
302022
Nonlinear model updating through a hierarchical Bayesian modeling framework
X Jia, O Sedehi, C Papadimitriou, LS Katafygiotis, B Moaveni
Computer Methods in Applied Mechanics and Engineering 392, 114646, 2022
222022
Uncertainty propagation analysis by an extended sparse grid technique
X Jia, C Jiang, CM Fu, BY Ni, CS Wang, MH Ping
Frontiers of Mechanical Engineering 14 (1), 33-46, 2019
202019
Statistics-based Bayesian modeling framework for uncertainty quantification and propagation
M Ping, X Jia, C Papadimitriou, X Han, C Jiang
Mechanical Systems and Signal Processing 174, 109102, 2022
92022
A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification
M Ping, X Jia, C Papadimitriou, X Han, C Jiang, W Yan
Mechanical Systems and Signal Processing 187, 109933, 2023
72023
Hierarchical Bayesian learning framework for multi-level modeling using multi-level data
X Jia, C Papadimitriou
Mechanical Systems and Signal Processing 179, 109179, 2022
72022
An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme
X Jia, WJ Yan, C Papadimitriou, KV Yuen
Mechanical Systems and Signal Processing 189, 110060, 2023
62023
Data features-based likelihood-informed Bayesian finite element model updating
X Jia, C Papadimitriou
UNCECOMP 2019 3rd international Conference on Uncertainty Quantification in …, 2019
52019
Identification of concrete surface damage based on probabilistic deep learning of images
Y Zhang, YQ Ni, X Jia, YW Wang
Automation in Construction 156, 105141, 2023
32023
Two-Stage Hierarchical Bayesian Framework for Finite Element Model Updating
X Jia, O Sedehi, C Papadimitriou, L Katafygiotis, B Moaveni
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
12020
A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes
M Ping, X Jia, C Papadimitriou, X Han, C Jiang, WJ Yan
Mechanical Systems and Signal Processing 208, 110968, 2024
2024
Model Updating and Robust Predictions in Structural Dynamics through Hierarchical Bayesian Modelling Framework
X Jia, O Sedehi, C Papadimitriou, LS Katafygiotis
The 13th International Conference on Structural Safety and Reliability …, 2022
2022
Hierarchical Bayesian Learning for Structural Damage Identification
X Jia, C Papadimitriou
8th International Symposium on Reliability Engineering and Risk Management …, 2022
2022
Bayesian tools for uncertainty quantification and propagation in structural dynamics simulations
X Jia
PhD Thesis, University of Thessaly, 2021
2021
Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories
X Jia, O Sedehi, LS Katafygiotis, B Moaveni, C Papadimitriou
Model Validation and Uncertainty Quantification, Volume 3, 91-95, 2021
2021
Computationally Efficient Hierarchical Bayesian Modeling Framework For Learning Embedded Model Uncertainties
X Jia, O Sedehi, C Papadimitriou, LS Katafygiotis
XI International Conference on Structural Dynamics, Athens, Greece, 3886-3893, 2020
2020
Research on the method of uncertainty quantification and propagation analysis based on probability
X Jia
MSc thesis, Hunan University, 2018
2018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–19