What’s New in Simcenter Reduced Order Modeling?

Simcenter Reduced Order Modeling tool can help users achieve optimal results while simplifying computational processes, Siemens says.

Simcenter Reduced Order Modeling tool can help users achieve optimal results while simplifying computational processes, Siemens says.

Siemens invites users to enhance analysis and control design capabilities with the Simcenter Reduced Order Modeling. Image courtesy of Siemens.


High-fidelity computer-aided engineering (CAE) simulation is a complex and specialized domain but with Siemens Simcenter Reduced Order Modeling, Siemens says users can tackle it with ease.

Simcenter Reduced Order Modeling is a tool that can help users achieve optimal results while simplifying computational processes. 

Simcenter Reduced Order Modeling 2404?

The latest Simcenter Reduced Order Modeling release incorporates features that let users go faster with the connected digital thread, enabling them to deliver smarter products to your customers.

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, reducing the time to generate a reduced order model (ROM), which contributes to faster integration in downstream 1D modeling tools.

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.  

This release also sees improvements in Krylov reduction performance for 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.

Download Software Releases

For a link download, click on the following: https://support.sw.siemens.com/en-US/product/208924752 

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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