3D Printing Additive Manufacturing AI Akselos Altair ANSA ANSYS AnyLogic Aras Artificial Intelligence ASSESS Autodesk AweSim BETA CAE BETA CAE Systems Blogger Bruce Jenkins business of siimulation CAASE 2018 Cadence CAE Cenos CFD CIMdata Cloud-based CAE Cloud-based HPC cloud computing CM Labs Coldstream Comet Solutions computational fluid dynamics COMSOL Coreform Coreform Cubit Covid19 Simulation CREO Dassault Systemes Data Center Data Center Digital Twin democratization Democratized Simulation Democratizing HPC Democratizing Simulation Diabatix Digital Engineering Digital Engineering Magazine digital thread Digital Twin Digital Twins EASA Engineering.com ESRD ESTECO excel fea Front End Analytics Future Facilities Generative Design Hexagon Hexagon MSC Hexagon MSC Software High Performance Cloud Computing HPC Intelligent Templates Kenneth Wong Kinetic Vision Learn From Your Peers Low Code Development Machine Learning Malcolm Panthaki Maya HTT ML Modelica Modelon MSC Software Multi Physics Simulation MultiPhysics Simulation NAFEMS NAFEMS America Neural Concept Novus Nexus nTopology ohio supercomputer center OnScale Ora Research PASS Software Phoenix Integration Pointwise PTC PTC Creo Rev-Sim Rev-Sim.org Revolution in Simulation Seb Dewhurst Siemens Siemens Simcenter Siemens Xcelerator Sim Apps SimApps Simcenter SimScale Simulation Simulation-led Design Simulation Applications Simulation Apps Simulation Automation Simulation Governance SIMULIA SimuTech Group SolidWorks SOLIDWORKS Simulation SPDM SPDRM System Simulation Template-Based Simulation The UberCloud Uber Cloud UberCloud VCollab Xcelerator
  1. Home
    2. ››
  2. Resources
    3. ››
  3. Employing Machine Learning for Front Crash Responses Prediction

Employing Machine Learning for Front Crash Responses Prediction

Front crash is one of the most common finite element analyses during vehicle development. The Machine Learning functionality implemented in KOMVOS can be trained to predict the behavior of theoretical designs in a front crash, without running the full FE analysis. This enables the performance of multiple “what-if” studies without requiring the otherwise additional design and solver run time.
View Article