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What’s new in Simcenter Reduced Order Modeling?

Reduced order modeling (ROM) is a powerful and highly effective technique that simplifies complex high-fidelity simulation models while still maintaining their accuracy with pinpoint precision. High-fidelity CAE simulation is a complex and specialized domain but with Simcenter Reduced Order Modeling, you can tackle it with ease.

Simcenter Reduced Order Modeling is a game-changing tool that can help you achieve optimal results while simplifying your computational processes. The engineers at Plastic Omnium were previously relying on a spreadsheet for their calculations, which was time-consuming and limited their ability to model complex systems. However, since adopting Simcenter Amesim and Simcenter Reduced Order Modeling, Plastic Omnium has experienced a significant acceleration in their simulation models. With a detailed model now running much faster than real-time, Plastic Omnium has cut down their development time by an impressive 25 percent. 

As technology continues to evolve, the digital twin is vital to maintain a competitive edge. That’s why Simcenter Amesim and Simcenter Reduced Order Modeling are so important to us.

Jurgen Dedeurwaerder System Engineer 
Plastic Omnium 

What’s new Simcenter Reduced Order Modeling 2404? 

The latest Simcenter Reduced Order Modeling release incorporates a number of new features that lets you go faster with your connected digital thread, enabling you to unlock new insights and deliver smarter products to your customers.

Go Faster 
Time domain vector fitting replaces the previous auto regressive model resulting in better accuracy and generalization performance towards unseen test conditions. The enhancement allows for more efficient fitting thus reducing the time to generate a reduced order model (ROM) which contributes to faster integration in downstream 1D modeling tools.

Time_domain_vector_fitting_illustration

Further improvements to Static and Dynamic projects include the ability to transform raw data variables into new informative features, maximizing the ability to attain a better model fit enabling more accurate ROMs.  

Transform raw data variables to create new informative features

This release also sees improvements in Krylov reduction performance for both iterative and direct solvers. Turnaround time for 3D to 1D Krylov based ROMs is now over six times faster and applicable to large systems with many inputs or systems with low reduction error tolerances.

Improvements in Krylov reduction performance breakdown

If you want to take your analysis and control design to the next level, Simcenter Reduced Order Modeling is the solution you’ve been looking for. 

Download software releases now 

For existing users – please visit these support center links now: 

Link download https://support.sw.siemens.com/en-US/product/208924752 

Further reading

ARTICLE

Plastic Omnium’s fuel cell future shines brightly with Siemens

Hydrogen fuel cell innovator slashes development time 25% with Simcenter Amesim and Simcenter Reduced Order Modeling

By Nigel Ravenhill

Gabriel Amine-Eddine

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This article first appeared on the Siemens Digital Industries Software blog at https://blogs.sw.siemens.com/simcenter/whats-new-in-simcenter-reduced-order-modeling/