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09/29/2020
Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains
Finite element model updating is challenging because 1) the problem is o...
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05/07/2020
Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network
Uncertainties in a structure is inevitable, which generally lead to vari...
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04/16/2020
Structural Model Updating Using Adaptive Multi-Response Gaussian Process Meta-modeling
Finite element model updating utilizing frequency response functions as ...
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02/12/2020
Uncertainty Quantification of Mode Shape Variation Utilizing Multi-Level Multi-Response Gaussian Process
Mode shape information play the essential role in deciding the spatial p...
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10/29/2018
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification
Using piezoelectric impedance/admittance sensing for structural health m...
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10/24/2017
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning
Early fault diagnosis in complex mechanical systems such as gearbox has ...
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10/05/2017
A Multi-Objective DIRECT Algorithm Towards Structural Damage Identification with Limited Dynamic Response Information
A major challenge in Structural Health Monitoring (SHM) is to accurately...
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06/09/2017
A Focal Any-Angle Path-finding Algorithm Based on A* on Visibility Graphs
In this research, we investigate the subject of path-finding. A pruned v...
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06/09/2017
