5 papers
From Perception to Autonomous Computational Modeling: A Multi-Agent Approach
Daniel N. Wilke
We present a solver-agnostic framework in which coordinated large language model (LLM) agents autonomously execute the complete computational mechanics workflow, from perceptual da…
Towards a data-scale independent regulariser for robust sparse identification of non-linear dynamics
Jay Raut, Daniel N. Wilke, Stephan Schmidt
Data normalisation, a common and often necessary preprocessing step in engineering and scientific applications, can severely distort the discovery of governing equations by magnitu…
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Marc Fransen, Andreas Fürst, Deepak Tunuguntla +21
Micro-scale mechanisms, such as inter-particle and particle-fluid interactions, govern the behaviour of granular systems. While particle-scale simulations provide detailed insights…
Design for Sensing and Digitalisation (DSD): A Modern Approach to Engineering Design
Daniel N. Wilke
This paper introduces Design for Sensing and Digitalisation (DSD), a new engineering design paradigm that integrates sensor technology for digitisation and digitalisation from the…
Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions
Stephan Schmidt, Daniel N. Wilke, Konstantinos C. Gryllias
In vibration-based condition monitoring, optimal filter design improves fault detection by enhancing weak fault signatures within vibration signals. This process involves optimisin…