Overview
Crash simulations in Ansys LS-DYNA are crucial for analyzing complex scenarios that involve multiple physical models. Fine mesh models are typically used to achieve high accuracy, but they significantly increase computational demands. A key challenge is the lengthy simulation time required for each design point, especially when exploring large design spaces with multiple parameters. As a result, striking a balance between accuracy and efficiency is critical in crash simulation workflows.
To address this, we leverage the new capabilities of the Twin Builder Static ROM, now supporting transient outputs through the Parametric Field History ROM. Simulation results are exported from LS-DYNA to LS-OPT Pro, where an automated workflow generates the training data in a format compatible with the Twin Builder ROM Builder.
In crash simulations, capturing data across a vast design space often requires generating multiple reduced-order models (ROMs). With tools like PyAnsys, PyAEDT, and PyTwin, ROM generation and evaluation can be automated, improving both efficiency and accuracy. ROMs offer strong predictive capabilities while drastically reducing simulation time.
Further acceleration is possible through hybrid modeling strategies, which involve building reduced-order models (ROMs) using low-fidelity simulations and refining predictions with select high-fidelity runs using fusion modeling techniques. This method ensures computational efficiency without sacrificing accuracy.
This approach enables customers to reduce development and optimization time for restraint systems, ensure robustness across a vast parameter space, and support test engineers by replacing costly physical tests with ROM-driven simulations.
What Attendees Will Learn
- Use reduced-order modeling for real-time prediction of crash simulations
- How to create an efficient workflow with LS-Dyna, LS-Opt Pro, and Twin Builder
- How to combine low-fidelity and high-fidelity models through hybrid analytics for faster and accurate predictions
Who Should Attend
- Crash simulation engineers, AI/ML enthusiasts
Speakers
- Manisha Kadira - Application Engineer , Ansys
Date / Time:July 22, 2025 11 AM IST
Venue:Virtual
- Cost:
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