In mid-May 2023, ESRD’s Co-Founder and Chairman Dr. Barna Szabó delivered a keynote presentation at the ASME VVUQ 2023 Symposium in Baltimore, Maryland, USA. Dr. Szabó’s presentation, entitled “Simulation Governance: An Idea Whose Time Has Come”, will focus on the goals and means of Simulation Governance with reference to mechanical/aerospace engineering practice.
The abstract of the keynote presentation was as follows:
Mathematical models have become indispensable sources of information on which technical and business decisions are based. It is therefore vitally important for decision-makers to know whether or not they should rely on the predictions of a particular mathematical model.
The presentation will focus on the reliability of information generated by mathematical models. Reliability is ensured through proper application of the procedures of verification, validation and uncertainty quantification. Examples will be presented.
It will be shown that mathematical models are products of open-ended evolutionary processes. One of the key objectives of simulation governance is to establish and maintain a hospitable environment for the evolutionary development of mathematical models. A very substantial unrealized potential exists in numerical simulation technology. It is the responsibility of management to establish conditions that will make realization of that potential possible.
Dr. Barna Szabó
We are pleased to announce that the 45-minute recording of Dr. Szabó’s keynote presentation is now available for playback:
Would You Like a Simulation Governance Briefing?
Would you like to connect with Dr. Szabó on this topic? Feel free to complete the following form and we will be happy to schedule a Simulation Governance briefing with you:
Certification by Analysis (CbA) uses validated computer simulations to demonstrate compliance with regulations, replacing some traditional physical tests. CbA allows for exploring a wide range of design scenarios, accelerates innovation, lowers expenses, and upholds rigorous safety standards. The key to CbA is reliability. This means that the data generated by numerical simulation should be as trustworthy as if they were generated by carefully conducted physical experiments. To achieve that goal, it is necessary to control two fundamentally different types of error; the model form error and the numerical approximation error, and use the models within their domains of calibration.
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