Shankar Sankararaman, Ph.D.
Affiliations: | 2012 | Vanderbilt University, Nashville, TN |
Area:
Civil Engineering, Statistics, Mechanical EngineeringGoogle:
"Shankar Sankararaman"Parents
Sign in to add mentor| Sankaran Mahadevan | grad student | 2012 | Vanderbilt | |
| (Uncertainty quantification and integration in engineering systems.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Chiachío J, Chiachío M, Sankararaman S, et al. (2019) A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media. Transport in Porous Media. 126: 177-197 |
| Bektas O, Jones JA, Sankararaman S, et al. (2019) A neural network framework for similarity-based prognostics. Methodsx. 6: 383-390 |
| Keprate A, Ratnayake RMC, Sankararaman S. (2019) Experimental Validation of the Adaptive Gaussian Process Regression Model Used for Prediction of Stress Intensity Factor as an Alternative to Finite Element Method Journal of Offshore Mechanics and Arctic Engineering-Transactions of the Asme. 141: 21606 |
| Bektas O, Jones JA, Sankararaman S, et al. (2018) Reconstructing secondary test database from PHM08 challenge data set. Data in Brief. 21: 2464-2469 |
| Zhang X, Mahadevan S, Sankararaman S, et al. (2018) Resilience-based network design under uncertainty Reliability Engineering & System Safety. 169: 364-379 |
| Baptista M, Sankararaman S, Medeiros IPd, et al. (2018) Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling Computers & Industrial Engineering. 115: 41-53 |
| Bektas O, Jones JA, Sankararaman S, et al. (2018) A neural network filtering approach for similarity-based remaining useful life estimation The International Journal of Advanced Manufacturing Technology. 101: 87-103 |
| Keprate A, Ratnayake RMC, Sankararaman S. (2017) Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping Journal of Offshore Mechanics and Arctic Engineering-Transactions of the Asme. 139: 61401 |
| Chiachio M, Chiachio J, Sankararaman S, et al. (2017) A new algorithm for prognostics using Subset Simulation Reliability Engineering & System Safety. 168: 189-199 |
| Keprate A, Ratnayake RMC, Sankararaman S. (2017) Minimizing hydrocarbon release from offshore piping by performing probabilistic fatigue life assessment Process Safety and Environmental Protection. 106: 34-51 |