CorroZoom webinar 20.3.2025

The next CorroZoom webinar will be on 20 March and will be given by Dr. Narasi Sridhar.

Register here (free for all): https://osu.zoom.us/webinar/register/WN_31o5zlL6RwWw9pQnjaAnEA

Bayesian Network Modeling of Corrosion – Theory and Applications
Narasi Sridhar, MC Consult LLC

Abstract
Bayesian network modeling (BN) is a class of artificial intelligence and machine learning techniques that relies on building probabilistic cause-effect relationships between various factors affecting an event e.g., corrosion of a system. The uncertainties with respect to data are included in the Bayesian probabilities. The uncertainties in models (cause-effect relationships) are included in conditional probabilities. BN’s are useful for modeling corrosion of engineering systems because there are many uncertainties (and missing information) in these systems and the system performance is dependent on a combination of design and operational factors, including human factors. This talk is aimed at both researchers and practitioners. The talk is divided into three parts: Part 1 will discuss the basics of BN and the various types of BN’s (dynamic BN, hybrid BN, Learning BN, etc.). Part 2 will discuss the application of BN for three industrial problems to illustrate the general approach: seawater corrosion of corrosion resistant alloys, stress corrosion cracking of onshore pipelines, and gaseous hydrogen embrittlement of pipeline components. Part 3 will discuss how BN can be used in research to identify causal connections. The talk will conclude with future directions of BN models.

Biography
Dr. Sridhar, FAMPP, FASM is the CEO of MC Consult LLC, a materials and corrosion consulting company. He is an Adjunct Professor in the Materials Science & Engineering Department at The Ohio State University. He acts as an advisor in projects involving materials integrity issues and brings together diverse entities in addressing complex problems. He was a former Vice President of DNV. His main technical interests involve life prediction and risk assessment of structures and systems. He has conducted research on localized corrosion and environmentally assisted cracking of materials in chemical process, oil and gas, and nuclear waste applications. He is active in the development of Bayesian network models for the risk assessment of corrodible systems. He has also been involved in research related to the electrochemical conversion of CO2 into useful products. He worked at DNV from 2007 to 2020 in the Research & Innovation and Oil and Gas units. From 1989 to 2007, he worked at the Center for Nuclear Waste Regulatory Analyses and the Division of Mechanical and Materials Engineering in Southwest Research Institute, San Antonio, Texas in various technical and managerial capacities. From 1981 through 1989, he worked at Haynes International, Kokomo, Indiana as a Group Leader of the corrosion group and was involved in corrosion resistant alloy development. He obtained a B.Tech in Metallurgy at Indian Institute of Technology Madras, M.S. in Materials Engineering at Virginia Tech., and a Ph.D. from University of Notre Dame in 1980 in Metallurgical Engineering. He has published over 200 papers and books/book chapters and has several patents. He has received numerous national and international awards. He currently serves as an Associate Editor for Corrosion journal.