56 citations · 56 across the 3 of their papers we have counts for
3 papers
stat.ML2020
Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network
Kai Zhou, Jiong Tang
Uncertainties in a structure is inevitable, which generally lead to variation in dynamic response predictions. For a complex structure, brute force Monte Carlo simulation for respo…
cs.CE2020★ 56 cited
Structural Model Updating Using Adaptive Multi-Response Gaussian Process Meta-modeling
Kai Zhou, Jiong Tang
Finite element model updating utilizing frequency response functions as inputs is an important procedure in structural analysis, design and control. This paper presents a highly ef…
physics.data-an2020
Uncertainty Quantification of Mode Shape Variation Utilizing Multi-Level Multi-Response Gaussian Process
Kai Zhou, Jiong Tang
Mode shape information play the essential role in deciding the spatial pattern of vibratory response of a structure. The uncertainty quantification of mode shape, i.e., predicting…