Webinar Series: Revolutionizing Simulation

Simulation Governance is Critical for Reliable Condition-Based (Predictive) Maintenance

Overview

This webinar will present a case study in which the goal was the development of a mathematical model for supporting condition-based maintenance (CBM) decisions. The model was designed for estimating the remaining fatigue service life of high-value mechanical components, given their service history and that specific flaws (such as corrosion defects) have been discovered in them, thus enabling CBM  to move damaged component removals from unscheduled to scheduled maintenance action.

The case study serves as an illustration of the universal process of model development in a setting of applied mechanics.  The formulation, calibration, validation, updating and documentation steps subject to the protocols of verification, validation and uncertainty quantification (VVUQ) will be covered. The ranking of alternative models with respect to their predictive performance will be addressed and the requirements for data management, and the process by which revisions are made and validated when new data become available, will be outlined.

What you will learn:

  • Mathematical models have both intuitive, creative components and objective, science-based components. These two components must be in equilibrium.
  • What is the difference between finite element modeling and numerical simulation?
  • What is the domain of calibration and how to specify it?
  • How the outcome of validation experiments should be evaluated and reported?
  • Why is the development of mathematical models open-ended? – Why no one can claim to have the last word?
  • Why simulation governance is essential for the success of numerical simulation projects?

Presenter: Dr. Barna Szabó

Dr. Barna Szabó is Co-Founder and Chairman of Engineering Software Research and Development, Inc. a company whose mission is to create and market software tools for the advancement of the quality, reliability and timeliness of information that serves engineering decision-making processes.

Dr. Szabó was a full-time member of the faculty of the School of Applied Science and Engineering at Washington University in St. Louis from 1968 until his retirement as the Albert P. and Blanche Y. Greensfelder Professor of Mechanics.  His areas of expertise include mathematical modeling techniques, error estimation and quality control procedures in finite element analysis, methods for controlling modeling errors in engineering computations and assurance of the reliability of engineering decisions based on computed information.

Dr. Szabó is the principal author of two textbooks on finite element analysis (John Wiley & Sons, 1991 and 2011) and has published over two hundred technical papers, mostly on the finite element method. Dr. Szabó is an external member of the Hungarian Academy of Sciences, Fellow of the St. Louis Academy of Sciences, holds an honorary doctorate and is a founding member and fellow of the US Association for Computational Mechanics. He is a registered Professional Engineer in the State of Missouri.

Presenter: Dr. Ricardo Actis

Dr. Ricardo Actis is the President and CEO of Engineering Software Research and Development, Inc. Prior to his appointment as President and CEO in 2016, Dr. Actis was responsible  for the implementation of advanced FEA procedures in the commercial finite element analysis software product StressCheck®, including material and geometric nonlinearities, thin solids formulation, plates and shells, multi-body contact, composite material analysis techniques, and extraction of fracture mechanics parameters for metallic and composite structures. Dr. Actis  also holds an academic appointment as Adjunct Professor in the Department of Mechanical Engineering and Material Sciences of the School of Engineering at Washington University in St. Louis where he has been teaching strength of materials, aircraft structures, and numerical simulation.