most citedStructural Model Updating Using Adaptive Multi-Response Gaussian Process Meta-modeling

56 citations · 74 across the 5 of their papers we have counts for

collaborators

5 papers

physics.gen-ph2024

Novel inverse multi-objective optimization-empowered design of microperforated panels for enhanced low-frequency noise mitigation

Duo Zhang, Yang Zhang, Sichen Yuan +2

Microperforated panels (MPPs) display excellent capacity in noise control applications owing to their high strength, simple design, and efficacy in low-frequency sound absorption.…

stat.AP2020★ 18 cited

Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains

Kai Zhou, Jiong Tang

Finite element model updating is challenging because 1) the problem is oftentimes underdetermined while the measurements are limited and/or incomplete; 2) many combinations of para…

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…