You Ling
TitleCited byYear
Uncertainty quantification and model validation of fatigue crack growth prediction
S Sankararaman, Y Ling, S Mahadevan
Engineering Fracture Mechanics 78 (7), 1487-1504, 2011
1522011
Quantitative model validation techniques: New insights
Y Ling, S Mahadevan
Reliability Engineering & System Safety 111, 217-231, 2013
892013
Integration of structural health monitoring and fatigue damage prognosis
Y Ling, S Mahadevan
Mechanical Systems and Signal Processing 28, 89-104, 2012
832012
Uncertainty quantification in fatigue crack growth prognosis
YL Shankar Sankararaman, C Shantz, S Mahadevan
452011
Uncertainty quantification in fatigue damage prognosis
S Sankararaman, Y Ling, C Shantz, S Mahadevan
Annual Conference of the Prognostics and Health Management Society, 2009
442009
Selection of model discrepancy priors in Bayesian calibration
Y Ling, J Mullins, S Mahadevan
Journal of Computational Physics 276, 665-680, 2014
422014
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
422011
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
392011
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
352016
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
312010
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
262017
Uncertainty quantification in time-dependent reliability analysis
Y Ling
Vanderbilt University, 2013
112013
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
92017
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
82016
Confidence assessment in fatigue damage prognosis
S Sankararaman, Y Ling, S Mahadevan
Annual conference of the prognostics and health management society, 10-16, 2010
62010
Challenging issues in Bayesian calibration of multi-physics models
Y Ling, S Mahadevan
54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2013
52013
Two-stage planar approximation of non-planar crack growth
VK Hombal, Y Ling, KA Wolfe, S Mahadevan
Engineering Fracture Mechanics 96, 147-164, 2012
52012
Calibration of multi-physics computational models using Bayesian networks
Y Ling, J Mullins, S Mahadevan
arXiv preprint arXiv:1206.5015, 2012
52012
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
42019
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
42018
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Articles 1–20