Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Dynamic Reduction-based Virtual Models for Digital Twins-A Comparative Study

Version 1 : Received: 13 June 2022 / Approved: 15 June 2022 / Online: 15 June 2022 (10:19:29 CEST)

A peer-reviewed article of this Preprint also exists.

Maulik, S.; Riordan, D.; Walsh, J. Dynamic Reduction-Based Virtual Models for Digital Twins—A Comparative Study. Appl. Sci. 2022, 12, 7154. Maulik, S.; Riordan, D.; Walsh, J. Dynamic Reduction-Based Virtual Models for Digital Twins—A Comparative Study. Appl. Sci. 2022, 12, 7154.

Abstract

Digital twins are the foundation of autonomous off-road vehicles. Dynamic reduction methods are one of several ways to develop digital twins for off-road vehicles. The article commences with a comprehensive overview of the most widely used dynamic reduction methods and then introduces performance metrics for assessing their efficacies in the context of digital twins. The paper additionally includes a detailed mathematical derivation of the state-space representation for reduced-order finite element models. The state-space representation of the reduced finite element models facilitates their export to problem-solving environments for dynamic analysis. The state-space models are eventually solved utilizing the built-in libraries of numerical solvers in textual and graphical programming platforms. In addition, the article identifies the set of solvers that best suit the simulation of virtual models for off-road vehicles. This article also includes an evaluation of the simulation results of digital models with modes ranging from 0 to 30 Hz. In addition, the article demonstrates the lower bound of the frequency range necessary and sufficient to be retained in off-road vehicle virtual models. Finally, the paper presents the simulation outcomes for digital models of commercial off-road vehicles with custom-built control, electrical, and control systems.

Keywords

digital twin; Industry 4.0; MATLAB; ANSYS; simulation; crane; modal analysis; dynamic substructuring; dynamic reduction; component modal synthesis

Subject

Computer Science and Mathematics, Applied Mathematics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.