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Manuel A. Vega
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Cited by
Year
A variational Bayesian neural network for structural health monitoring and cost-informed decision-making in miter gates
MA Vega, MD Todd
Structural Health Monitoring, 2020
562020
A novel framework for integration of abstracted inspection data and structural health monitoring for damage prognosis of miter gates
MA Vega, Z Hu, TB Fillmore, MD Smith, MD Todd
Reliability Engineering & System Safety 211, 107561, 2021
202021
A probabilistic optimal sensor design approach for structural health monitoring using risk-weighted f-divergence
Y Yang, M Chadha, Z Hu, MA Vega, MD Parno, MD Todd
Mechanical Systems and Signal Processing 161, 107920, 2021
182021
Optimal maintenance decisions for deteriorating quoin blocks in miter gates subject to uncertainty in the condition rating protocol
MA Vega, Z Hu, MD Todd
Reliability Engineering & System Safety 204, 107147, 2020
182020
Model correction and updating of a stochastic degradation model for failure prognostics of miter gates
C Jiang, MA Vega, MD Todd, Z Hu
Reliability Engineering & System Safety 218, 108203, 2022
172022
Bayesian model updating with finite element vs surrogate models: Application to a miter gate structural system
MK Ramancha, MA Vega, JP Conte, MD Todd, Z Hu
Engineering Structures 272, 114901, 2022
112022
Surrogate modeling of nonlinear dynamic systems: a comparative study
Y Zhao, C Jiang, MA Vega, MD Todd, Z Hu
Journal of Computing and Information Science in Engineering 23 (1), 011001, 2023
102023
The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions
M Chadha, MK Ramancha, MA Vega, JP Conte, MD Todd
Reliability Engineering & System Safety 229, 108845, 2023
92023
A neural network surrogate model for structural health monitoring of miter gates in navigation locks
M Vega, R Madarshahian, MD Todd
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
92020
Diagnostics and prognostics of multi-mode failure scenarios in miter gates using multiple data sources and a dynamic Bayesian network
Z Wu, TB Fillmore, MA Vega, Z Hu, MD Todd
Structural and Multidisciplinary Optimization 65 (9), 270, 2022
82022
Efficient Bayesian inference of miter gates using high-fidelity models
MA Vega, MK Ramancha, JP Conte, MD Todd
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
72020
Diagnosis, prognosis, and maintenance decision making for civil infrastructure: Bayesian data analytics and machine learning
MA Vega, Z Hu, Y Yang, M Chadha, MD Todd
Structural health monitoring based on data science techniques, 45-73, 2022
62022
A surrogate model to accelerate non-intrusive global–local simulations of cracked steel structures
TB Fillmore, Z Wu, MA Vega, Z Hu, MD Todd
Structural and Multidisciplinary Optimization 65 (7), 208, 2022
52022
Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates
C Jiang, MA Vega, MK Ramancha, MD Todd, JP Conte, M Parno, Z Hu
Mechanical Systems and Signal Processing 170, 108852, 2022
52022
Optimal Maintenance Decision for Deteriorating Components in Miter Gates Using Markov Chain Prediction Model
MA Vega, R Madarshahian, TB Fillmore, MD Todd
Structural Health Monitoring 2019: Enabling Intelligent Life-cycle Health …, 2019
5*2019
A Comparative Study of Surrogate Modeling of Nonlinear Dynamic Systems
Y Zhao, C Jiang, MA Vega, MD Todd, Z Hu
International Design Engineering Technical Conferences and Computers and …, 2022
22022
Implementation of real-time hybrid shake table testing using the UCSD large high-performance outdoor shake table
MA Vega, AH Schellenberg, H Caudana, G Mosqueda
International Journal of Lifecycle Performance Engineering 4 (Special Issue …, 2020
22020
Diagnosis, prognosis, and maintenance decision making for civil infrastructure
MA Vega
University of California, San Diego, 2020
22020
A Simplified Finite Element Joint Model Updated with Experimental Modal Features
JK Black, SJ Callis, A Feizy, CL Johnson, NAJ Lieven, MA Vega
Society for Experimental Mechanics Annual Conference and Exposition, 107-123, 2023
2023
Nonlinear Material Characterization in Dynamic Testing: Part III? Uncertainty Quantification.
G Lopp, CNMN Johnson, D Fowler, R Kuether, S Ceballes, K Brindley, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
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