Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design

arXiv (Cornell University)

Abstract

Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent, e.g., in areas such as data-driven modeling, control and automation, as well as surrogate modeling for accelerated simulation. Beyond engineering, generative and large-language models are increasingly helping with tasks that, previously, were solely associated with creative human processes. Thus, it seems timely to seek artificial-intelligence-support for engineering design tasks to automate, help with, or accelerate purpose-built designs of engineering systems, e.g., in mechanics and dynamics, where design so far requires a lot of specialized knowledge. However, research-wise, compared to established, predominantly first-principles-based methods, the datasets used for training, validation, and test become an almost inherent part of the overall methodology. Thus, data publishing becomes just as important in (data-driven) engineering science as appropriate descriptions of conventional methodology in publications in the past. This article analyzes the value and challenges of data publishing in mechanics and dynamics, in particular regarding engineering design tasks, showing that the latter raise also challenges and considerations not typical in fields where data-driven methods have been booming originally. Possible ways to deal with these challenges are discussed and a set of examples from across different design problems shows how data publishing can be put into practice. The analysis, discussions, and examples are based on the research experience made in a priority program of the German research foundation focusing on research on artificially intelligent design assistants in mechanics and dynamics.

Authors 15

1. Henrik Ebel
   Affiliation as printed

   Department of Mechanical Engineering , LUT University , Finland

2. Jan van Delden

   University of Göttingen

   Affiliation as printed

   Institute of Computer Science , University of Göttingen , Germany

3. Timo Lüddecke

   University of Göttingen

   Affiliation as printed

   Institute of Computer Science , University of Göttingen , Germany

4. Aditya Borse Aachen Institute of General Mechanics

   RWTH Aachen University

   Affiliation as printed

   Institute of General Mechanics (IAM) , RWTH Aachen , Germany

5. Rutwik Gulakala Aachen Institute of General Mechanics

   RWTH Aachen University

   Affiliation as printed

   Institute of General Mechanics (IAM) , RWTH Aachen , Germany

6. Marcus Stoffel Aachen Institute of General Mechanics

   RWTH Aachen University

   Affiliation as printed

   Institute of General Mechanics (IAM) , RWTH Aachen , Germany

7. Manish Yadav

   Technische Universität Berlin

   Affiliation as printed

   Cyber-Physical Systems in Mechanical Engineering , Technische Universität Berlin , Germany

8. M. Stender

   Technische Universität Berlin

   Affiliation as printed

   Cyber-Physical Systems in Mechanical Engineering , Technische Universität Berlin , Germany

9. Leon Schindler
   Affiliation as printed

   Institute for Computational Physics in Engineering , RPTU Kaiserslautern-Landau , Germany

10. Kristin M. de Payrebrune
    Affiliation as printed

    Institute for Computational Physics in Engineering , RPTU Kaiserslautern-Landau , Germany

11. Maximilian Raff

    University of Stuttgart

    Affiliation as printed

    Institute for Nonlinear Mechanics , University of Stuttgart , Germany

12. C. David Remy
13. Benedict Röder

    University of Stuttgart

    Affiliation as printed

    Institute of Engineering and Computational Mechanics , University of Stuttgart , Germany

14. Tobias Rentschler
    Affiliation as printed

    Institute of Fluid Mechanics and Hydraulic Machinery , University of Stuttgart , Germany

15. Alexander Tismer
    Affiliation as printed

    Institute of Fluid Mechanics and Hydraulic Machinery , University of Stuttgart , Germany