Publications

Journal Publications

  1. S. Sankararaman, M. Daigle, K. Goebel. Uncertainty Quantification in Remaining Useful Life Prediction using First-Order Reliability Methods. Accepted for Publication in the journal IEEE Transactions on Reliability, 2014 (in press).

  2. T. Peng, A. Saxena, K. Goebel, Y. Xiang, S. Sankararaman, Y. Liu. A Novel Bayesian Imaging Method for Probabilistic Delamination Detection of Composite Materials. Smart Materials and Structures. Volume 22, Issue 12, Page 125019 (9 pages), November 2013.

  3. S. Sankararaman, K. McLemore, S. Mahadevan, S.C. Bradford, L.D. Peterson. Test Resource Allocation in Hierarchical Systems using Bayesian Networks. AIAA Journal. Volume 51, Issue, 3, Pages 537 - 550, March 2013.

  4. S. Sankararaman, S. Mahadevan. Distribution type uncertainty due to sparse and imprecise data. Mechanical Systems and Signal Processing. Volume 37, Issues 1 - 2, Pages 182 - 198, May - June 2013.

  5. S. Sankararaman, S. Mahadevan. Separating the Contributions of Variability and Parameter Uncertainty in Probability Distributions. Reliability Engineering and System Safety. Volume 112, April 2013, Pages 187–199.

  6. S. Sankararaman, S. Mahadevan. Model parameter estimation with imprecise and unpaired data. Inverse Problems in Science and Engineering. In the special issue containing selected papers from the 3rd Inverse Problems, Design and Optimization (IPDO) Symposium, 25-27 August 2010, João Pessoa, Brazil, Volume 20, Issue 7, 2012, Pages 1017 - 1041.

  7. S. Sankararaman, S. Mahadevan. Bayesian methodology for diagnosis uncertainty quantification and health monitoring. Structural Control and Health Monitoring. volume 20, Issue 1, Pages 88 - 106, January 2013.

  8. S. Sankararaman, S. Mahadevan. Likelihood-based approach to multi-disciplinary analysis under uncertainty. Journal of Mechanical Design. Volume 134, Issue 3, 031008 (12 pages), March 2012.

  9. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Uncertainty quantification in fatigue crack growth prognosis. International Journal of Prognostics and Health Management, Vol. 2 (1) 001, pages: 15, 2011.

  10. S. Sankararaman, S. Mahadevan. Uncertainty quantification in structural damage diagnosis. Structural Control and Health Monitoring. Volume 18, Issue 8, pages 807–824, December 2011.

  11. S. Sankararaman, S. Mahadevan, Model validation under epistemic uncertainty, Reliability Engineering & System Safety, Volume 96, Issue 9, Quantification of Margins and Uncertainties, September 2011, Pages 1232-1241.

  12. Y. Ling, C. Shantz, S. Mahadevan, S. Sankararaman. Stochastic prediction of fatigue loading using real-time monitoring data, International Journal of Fatigue, Volume 33, Issue 7, July 2011, Pages 868-879.

  13. S. Sankararaman, S. Mahadevan. Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data, Reliability Engineering & System Safety, Volume 96, Issue 7, July 2011, Pages 814-824.

  14. S. Sankararaman, Y. Ling, S. Mahadevan. Uncertainty quantification and model validation of fatigue crack growth prediction, Engineering Fracture Mechanics, Volume 78, Issue 7, May 2011, Pages 1487-1504.

  15. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Inference of equivalent initial flaw size under multiple sources of uncertainty, International Journal of Fatigue, Volume 33, Issue 2, February 2011, Pages 75-89.

  16. S. Sankararaman, Y. Ling, S. Mahadevan. Statistical inference of equivalent initial flaw size with complicated structural geometry and multi-axial variable amplitude loading, International Journal of Fatigue, Volume 32, Issue 10, October 2010, Pages 1689-1700.


Conference Publications

  1. S. Sankararaman, K. Goebel. Uncertainty in Prognostics: Computational Methods and Practical Challenges. In the Proceedings of the 2014 IEEE Aerospace Conference, Big Sky, MT, Mar 1 - 8, 2014.

  2. S. Sankararaman, K. Goebel. An Uncertainty Quantification Framework for Prognostics and Condition-Based Monitoring. In the Proceedings of the 16th AIAA Non-Deterministic Approaches Conference co-located with the 2014 AIAA SciTech Conference, National Harbor, MD, Jan 13 – 17, 2014. Paper No. AIAA-2014-0480.

  3. S. Sankararaman, K. Goebel. A novel computational methodology for uncertainty quantification in prognostics using the most probable point concept. In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  4. S. Sankararaman, K. Goebel. Why is the remaining useful life prediction uncertain? In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  5. M. Daigle, S. Sankararaman. Advanced methods for determining prediction uncertainty in model-based prognostics with application to planetary rovers. In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  6. T. Peng, A. Saxena, K. Goebel, S. Sankararaman, Y. Xiang, Y. Liu. Probabilistic delamination diagnosis of composite materials using a novel Bayesian imaging Method. In the Proceedings of 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA, USA, Oct 14 - 17, 2013.

  7. S. Sankararaman, K. Goebel. Remaining useful life estimation in prognostics: An uncertainty propagation problem. In the Proceedings of the 2013 AIAA Infotech@Aerospace Conference, co-located with the AIAA Aerospace Sciences – Flight Sciences and Information Systems Event, Boston, MA, USA, Aug 19 - 22, 2013.

  8. S. Sankararaman, S. Mahadevan. Quantifying the reliability of computational models. In the Proceedings of the 11th International Conference on Structural Safety and Reliability. June 16 – 20, New York, NY, 2013.

  9. S. Sankararaman, K. Goebel. Uncertainty quantification in remaining useful life of aerospace components using state space models and inverse FORM. In the Proceedings of the 15th Non-Deterministic Approaches Conference co-located with the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Boston, MA, April 8 – 11, 2013. Paper No. AIAA-2013-1537.

  10. S. Sankararaman, S. Mahadevan. Assessing the reliability of computational models under uncertainty. In the Proceedings of the 15th Non-Deterministic Approaches Conference co-located with the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Boston, MA, April 8 – 11, 2013. Paper no. AIAA-2013-1873.

  11. S. Sankararaman, M. Daigle, K. Goebel. Analytical algorithms to quantify the uncertainty in remaining useful life prediction. In the Proceedings of the 2013 IEEE Aerospace Conference. Big Sky, MT. Mar 3 – 8, 2013.

  12. J. Mullins, C. Li, S. Sankararaman, S. Mahadevan, A. Urbina. Probabilistic integration of validation and calibration results for prediction level uncertainty quantification: Application to structural dynamics. In the Proceedings of the 15th Non-Deterministic Approaches Conference co-located with the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Boston, MA, April 8 – 11, 2013. Paper no. AIAA-2013-1872.

  13. S. Sankararaman, S. Mahadevan. Likelihood-Based Approach for Uncertainty Propagation in Multi-Disciplinary Analysis. In the Proceedings of the 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana, September 17 – 19, 2012.

  14. S. Sankararaman, S. Mahadevan. Comprehensive framework for integration of calibration, verification and validation. In the Proceedings of the 14th Non-Deterministic Approaches Conference co-located with the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, HI, April 23 – 26, 2012. Paper no. AIAA-2012-1367.

  15. S. Sankararaman, K. McLemore, S. Mahadevan. Bayesian Methods for uncertainty quantification in multi-level systems. In the Proceedings of the IMAC-XXX Conference. Jacksonville, FL. Jan 30 – Feb 2, 2012.

  16. S. Sankararaman, S. Mahadevan. Uncertainty assessment in structural health monitoring. In the Proceedings of the Eighth International Workshop on Structural Health Monitoring. Stanford University, Palo Alto, CA, September 13–15, 2011.

  17. S. Sankararaman, S. Mahadevan. Likelihood-based representation of imprecision due to sparse point data and/or interval data. In the Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. Zurich, Switzerland, Aug 1 – 4, 2011.

  18. S. Sankararaman, K. McLemore, C. Liang, S. Mahadevan, S. Bradford, L. Peterson. Test resource allocation for uncertainty quantification of multi-level and coupled Systems. In the Proceedings of the 13th Non-Deterministic Approaches Conference co-located with the 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Denver, CO, April 4 – 7, 2011. Paper no. AIAA-2011-1904.

  19. S. Sankararaman, S. Mahadevan. Uncertainty quantification and model validation under epistemic uncertainty due to sparse and/or imprecise data. In the Proceedings of the 13th Non-Deterministic Approaches Conference co-located with the 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Denver, CO, April 4 – 7, 2011. Paper no. AIAA-2011-1708. Selected as one of the six finalists for the student paper competition.

  20. S. Sankararaman, Y. Ling, S. Mahadevan. Confidence assessment in model-based structural health monitoring. In the Proceedings of the IEEE Aerospace Conference. Big Sky, MT. Mar 5 – 12, 2011.

  21. S. Sankararaman, S. Mahadevan. Uncertainty assessment in structural damage diagnosis. In the Proceedings of the IMAC-XXIX Conference. Jacksonville, FL. Jan 31 – Feb 3, 2011.

  22. Y. Ling, C. Shantz, S. Sankararaman, S. Mahadevan. Stochastic characterization and update of fatigue loading for mechanical damage prognosis. In the Proceedings of the Annual Conference of the Prognostics and Health Management Society. Portland, OR, Oct 10 – 16, 2010.

  23. S. Sankararaman, Y. Ling, S. Mahadevan. Confidence assessment in fatigue damage prognosis. In the Proceedings of the Annual Conference of the Prognostics and Health Management Society. Portland, OR, Oct 10 – 16, 2010.

  24. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Parameter estimation and inversion of fracture mechanics-based crack growth models under uncertainty. In the Proceedings of the Inverse Problems, Design and Optimization Symposium. Joao Pessoa, PB, Brazil. Aug 25 – 27, 2010.

  25. S. Sankararaman, S. Mahadevan. Model parameter estimation with imprecise input/output data. In the Proceedings of the Inverse Problems, Design and Optimization Symposium. Joao Pessoa, PB, Brazil. Aug 25 – 27, 2010.

  26. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Uncertainty and error quantification in crack growth analysis. Annual Conference of the Engineering Mechanics Institute, Los Angeles, CA, Aug 8 – 11, 2010. Won the Best Student Paper Award in Probabilistic Methods.

  27. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Fatigue crack growth analysis under uncertainty. In the Proceedings of the 12th Non-Deterministic Approaches Conference co-located with the 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Orlando, FL. Apr. 12 – 15, 2010. Paper no. AIAA-2010-2517.

  28. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Model calibration for fatigue crack growth analysis. In the Proceedings of the IMAC-XXVIII Conference. Jacksonville, FL. Feb. 1 – Feb. 4, 2010.

  29. S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Uncertainty quantification in fatigue damage prognosis. In the Proceedings of the 1st Annual Conference of the Prognostics and Health Management Society. San Diego, CA. Sept. 28 – Oct 1, 2009.

  30. S. Sankararaman, G. Bartram, S. Mahadevan. Bond graph method for hierarchical, multi-domain systems diagnosis. In the Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford University, Stanford, CA. Sept. 9 – Sept. 11, 2009.

  31. S. Sankararaman, S. Mahadevan. Uncertainty quantification in structural health monitoring. In the Proceedings of the 11th Non-Deterministic Approaches Conference co-located with the 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Palm Springs, CA. May 4 – May 7, 2009. Paper no. AIAA-2009-2377.