Altair Radioss
Why Radioss?
Community Powered, Industry-Driven Development
Combining proven crash and impact simulation expertise with rapid, community-driven development, Radioss delivers regularly updated and enhanced features that accelerate innovation and keep users ahead of the competition.
Integrated Solver Compatibility
With unique third-party solver compatibility, Radioss eliminates adoption barriers by allowing users to directly run external input decks. This seamless experience minimizes workflow disruptions and accelerates productivity, providing immediate access to a modern, fully integrated simulation environment.
Scalable Performance, AI-Driven Innovation
Radioss delivers scalability across diverse computing architectures, efficiently generating robust datasets from advanced multiphysics simulations for crash and impact-safe designs. This data feeds seamlessly into AI workflows, enabling rapid training of AI models, predictive insights, and simulation-driven innovation.
Key Features
Open Explicit Dynamics with Community Support
Accelerate innovation in crash and impact simulation with an open platform designed to meet evolving industry demands. Community-driven development ensures continuous updates and relevant new features.
Expanding Solution-Specific Capabilities
Leverage state-of-the-art materials and damage models to design safer, more robust products with confidence.
Running LS-DYNA Input
Run LS-DYNA input decks directly within the Radioss GUI for a fully integrated experience. Robust file conversion tools support Abaqus users.
Validated Safety Tools for Human Modeling
Work with partner tools for extensive safety evaluation using crash dummies and human body models (HBM).
Efficient Scaling for Complex Models
Maximize compute efficiency with infinite scalability across diverse architectures. Handle large-scale simulations with ease.
Smarter Predictions with AI Integration
Enhance predictive accuracy by training AI models with Radioss-generated results. Seamlessly integrate with AI-powered workflows for future-ready simulation insights.