Vaibhav Yadav, Ph.D. Research Areas:
Biography:
Dr. Vaibhav Yadav is a scientist at Idaho National Laboratory where he performs and leads several research efforts in the areas of risk, reliability, safety, security, and regulations in nuclear power plants. He performs research in wide ranging areas of Probabilistic Risk Assessment (PRA), dynamic PRA; data-based risk-informed decision-making, risk-based methodologies for cyber and physical security, economics, and digital twins. He has extensive experience in working with US commercial utilities to develop and implement risk-informed computational methodologies for optimizing physical security. He is currently serving as a member of the Physical and Cyber Security Subcommittee of the ANS/ASME Joint Committee on Nuclear Risk Management.
Education: Ph.D., Mechanical Engineering, The University of Iowa
Publications: Gribok, A., Agarwal V., and Yadav V. "Performance of Empirical Bayes Estimation Techniques Used in Probabilistic Risk Assessment." Reliability Engineering & System Safety (2020): 106805.
Farber, J.A., Cole, D.G., Al Rashdan, A.Y. and Yadav, V. “Using Kernel Density Estimation to Detect Loss-of-Coolant Accidents in a Pressurized Water Reactor”. Nuclear Technology, 2018, pp.1-10.
Xuchun, R., Yadav, V. and Rahman, S. “Reliability-based design optimization by adaptive-sparse polynomial dimensional decomposition”. Structural and Multidisciplinary Optimization, Vol. 53, No. 3, 2016, pp.425-452.
Yadav, V. and Rahman, S. “A hybrid polynomial dimensional decomposition for uncertainty quantifications in high-dimensional complex systems”. Probabilistic Engineering Mechanics, Vol. 38, 2014, pp. 22-34.
Yadav, V. and Rahman, S. “Adaptive-sparse polynomial dimensional decomposition for high-dimensional stochastic computing”. Computer Methods in Applied Mechanics and Engineering, Vol. 274, 2014, pp. 56-83.
Yadav, V. and Rahman, S. “Uncertainty Quantification of High-Dimensional Complex Systems by Multiplicative Polynomial Dimensional Decompositions”. International Journal for Numerical Methods in Engineering, Vol. 94, No. 3, 2013, pp. 221-247.
Rahman, S. and Yadav, V. “Orthogonal Polynomial Expansions for Solving Random Eigenvalue Problems”. International Journal for Uncertainty Quantification, Vol. 1, No. 2, 2011, pp. 163-187.
Presentations: McCrory F., Osborn D., Yadav V., Christian R., Prescott S. “The Risk-Informed Activities in the Physical Security Pathway, Invited Presentation”, 15th Probabilistic Safety Assessment and Management Conference, Venice, Italy, 21-26 June 2020. Yadav V., “Risk-informed methodologies for physical security optimization”. Invited Panel Presentation, NEI National Security and Emergency Preparedness Summit, Nuclear Energy Institute, August 19 – 22, 2019, Scottsdale, AZ.
Yadav, V., Shawn St. Germain, Jason K. Hansen, Robby Christian. “Risk-Informed Methodologies for Operational Cost Reduction in Nuclear Power Plants”. 11th ANS International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies, Orlando, FL, February 2019.
Yadav, V., Youngblood R. W., Le Blanc K. L, Perschon J., and Pitcher R. “Fault-Tree Based Prevention Analysis of Cyber-Attack Scenarios for PRA Applications”. 65th Annual Reliability and Maintainability Symposium (RAMS 2019), Orlando, FL, January 2019.
Yadav, V., Agarwal V., Gribok, A. V., and Smith, Curtis L. “Modelling Component Failure Rates Utilizing Sensor-Based Degradation Data”. 14th Probabilistic Safety Assessment and Management Conference (PSAM 2018). Los Angeles, CA, September 2018.
Gribok, A. V., Agarwal V., and Yadav, V. “Specification of Prior in Empirical Bayes Estimation through Bayesian Deconvolution for Probabilistic Risk Assessment”. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2017), Pittsburg, PA, September 2017.
Yadav, V., Agarwal V., Gribok, A. V., and Smith, Curtis L. “Dynamic PRA with component aging and degradation modeled utilizing plant risk monitoring data”. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2017), Pittsburg, PA, September 2017.
Yadav, V., Agarwal V., Gribok A. V., and Smith, Curtis L. “Assessment of Dynamic PRA Techniques With Industry-Average Component Performance Data”. 10th ANS International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies, San Francisco, CA, June 2017.
Yadav, V., Agarwal V., Gribok A. V., and Smith, Curtis L. “Integration of prognostic techniques and probabilistic safety assessment for online risk monitoring”. 10th ANS International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies, San Francisco, CA, June 2017.
Kamaraj A.V., Yadav, V, Venkataraman, S. “Development of a Stress Limit Surface for Turbine Blades under Multimode Forced Vibration for Use in Engine Testing”. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Grapevine, TX, January 2017.
Yadav, V. and Venkataraman, S. “Mode-tracking in surrogate-based inverse identification of rotor blade geometry using Campbell diagram”. 54th AIAA Aerospace Sciences Meeting, AIAA Science and Technology Forum and Exposition 2016, San Diego, CA, January 2016.
Kamaraj, A.V., Yadav, V. and Venkataraman, S. “Uncertainty Analysis of Blade Tip Timing Methods and Reduced Order Modeling of Integrally Bladed Rotors”. 54th AIAA Aerospace Sciences Meeting, AIAA Science and Technology Forum and Exposition 2016, San Diego, CA, January 2016.
Yadav, V. and Venkataraman, S. “Mode-Based Inverse Identification of Turbine-blade Geometry Using Surrogate-Based Optimization”. 13th U.S. National Congress on Computational Mechanics, San Diego, CA, July 2015.
Yadav, V. and Rahman, S. “Uncertainty Quantification of High-dimensional Complex Systems by Hybrid Polynomial Dimensional Decomposition Method”. 13th U.S. National Congress on Computational Mechanics, San Diego, CA, July 2015.
Rahman S., Yadav, V. “High-Dimensional Stochastic Computing by Adaptive-Sparse Polynomial Dimensional Decomposition”. 3rd Workshop on Sparse Grids and Applications, University of Stuttgart. Stuttgart, Germany, September 2014.
Yadav, V. and Rahman, S. “Adaptive Polynomial Dimensional Decomposition for Uncertainty Quantification in High Dimensions”. Proceedings of 11th International Conference on Structural Safety & Reliability. New York, NY, June 16-20, 2013.
Yadav, V. and Rahman, S. “Stochastic Computing by a Multiplicative Polynomial Dimensional Decomposition”. Proceedings of 14th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, Indianapolis, IN, September 2012.
Yadav, V. and Rahman, S. “Uncertainty Quantification of High-Dimensional Complex Systems”. Proceedings of 11th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability. Notre Dame, IN, June 2012.
Yadav, V. and Rahman, S. “An Adaptive Polynomial Dimensional Decomposition using Sparse Grids”. Proceedings of 11th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability. Notre Dame, IN, June 2012.
Yadav, V. and Rahman, S. “A Comparison of Two Stochastic Expansion methods for Solving Random Eigenvalue Problems”. Proceedings of 11th U.S. National Congress on Computational Mechanics, Minneapolis, MN, July 2011.
Yadav, V. and Rahman, S. “Multiplicative Polynomial Dimensional Decomposition for Stochastic Computing”. Proceedings of 2011 Engineering Mechanics Conference, Boston, MA, June 2-4, 2011.
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