Follow
You Ling
Title
Cited by
Cited by
Year
Uncertainty quantification and model validation of fatigue crack growth prediction
S Sankararaman, Y Ling, S Mahadevan
Engineering Fracture Mechanics 78 (7), 1487-1504, 2011
2182011
Dynamic Bayesian network for aircraft wing health monitoring digital twin
C Li, S Mahadevan, Y Ling, S Choze, L Wang
Aiaa Journal 55 (3), 930-941, 2017
1912017
Quantitative model validation techniques: New insights
Y Ling, S Mahadevan
Reliability Engineering & System Safety 111, 217-231, 2013
1392013
Integration of structural health monitoring and fatigue damage prognosis
Y Ling, S Mahadevan
Mechanical Systems and Signal Processing 28, 89-104, 2012
1202012
Selection of model discrepancy priors in Bayesian calibration
Y Ling, J Mullins, S Mahadevan
Journal of Computational Physics 276, 665-680, 2014
842014
Separation of aleatory and epistemic uncertainty in probabilistic model validation
J Mullins, Y Ling, S Mahadevan, L Sun, A Strachan
Reliability Engineering & System Safety 147, 49-59, 2016
682016
Uncertainty quantification in fatigue crack growth prognosis
S Sankararaman, Y Ling, C Shantz, S Mahadevan
International Journal of Prognostics and Health Management 2 (1), 2011
602011
Uncertainty quantification in fatigue damage prognosis
S Sankararaman, Y Ling, C Shantz, S Mahadevan
Annual Conference of the Prognostics and Health Management Society, 2009
592009
Stochastic prediction of fatigue loading using real-time monitoring data
Y Ling, C Shantz, S Mahadevan, S Sankararaman
International Journal of Fatigue 33 (7), 868-879, 2011
562011
Inference of equivalent initial flaw size under multiple sources of uncertainty
S Sankararaman, Y Ling, C Shantz, S Mahadevan
International Journal of Fatigue 33 (2), 75-89, 2011
472011
Statistical inference of equivalent initial flaw size with complicated structural geometry and multi-axial variable amplitude loading
S Sankararaman, Y Ling, S Mahadevan
International Journal of Fatigue 32 (10), 1689-1700, 2010
422010
A dynamic Bayesian network approach for digital twin
C Li, S Mahadevan, Y Ling, L Wang, S Choze
19th AIAA Non-Deterministic Approaches Conference, 1566, 2017
292017
Expected-Improvement-Based Methods for Adaptive Sampling in Multi-Objective Optimization Problems
J Kristensen, Y Ling, I Asher, L Wang
ASME 2016 International Design Engineering Technical Conferences and …, 2016
232016
A gaussian process modeling approach for fast robust design with uncertain inputs
KM Ryan, J Kristensen, Y Ling, S Ghosh, I Asher, L Wang
Turbo Expo: Power for Land, Sea, and Air 51135, V07AT32A012, 2018
152018
An intelligent sampling framework for multi-objective optimization in high dimensional design space
Y Ling, S Ghosh, I Asher, J Kristensen, K Ryan, L Wang
2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018
152018
Bayesian multi-source modeling with legacy data
S Ghosh, I Asher, J Kristensen, Y Ling, K Ryan, L Wang
2018 AIAA Non-Deterministic Approaches Conference, 1663, 2018
132018
Uncertainty quantification in time-dependent reliability analysis
Y Ling
Vanderbilt University, 2013
132013
Two-stage planar approximation of non-planar crack growth
VK Hombal, Y Ling, KA Wolfe, S Mahadevan
Engineering Fracture Mechanics 96, 147-164, 2012
112012
Calibration of multi-physics computational models using Bayesian networks
Y Ling, J Mullins, S Mahadevan
arXiv preprint arXiv:1206.5015, 2012
102012
Methods and systems for implementing a data reconciliation framework
IM Asher, AR Cerrone, Y Ling, A Srivastava, AK Subramaniyan, F Viana, ...
US Patent 10,394,770, 2019
92019
The system can't perform the operation now. Try again later.
Articles 1–20