A reduced-order model (ROM) is an accurate surrogate of a high fidelity model. Based on intelligent sampling and robust data fitting, the resulting ROM enables accurate near-real time simulations.
Based on high-resolution Thermal Desktop models, Veritrek captures the relationship between input factors (e.g. Thermal Desktop symbols) and output responses (e.g. node temperatures). Our process is simple:
- First, a clear understanding of your ROM requirements is quickly developed.
- Next, highly trained engineers at LoadPath (our parent company) convert your Thermal Desktop model into a ROM.
- A thorough evaluation of the ROM is provided which includes detailed test metrics that quantify its accuracy.
- Finally, your ROM is delivered along with our Exploration Tool.
This process depends on the complexity of your model and ROM, but typically takes only a few days.
Sampling is based on optimized Latin Hypercube methods that efficiently fill a design space. This approach is a widely-used approach for interrogating computer models. The result is a set of sampling points that provide the basis for generating training data.
Data fitting is based on Gaussian Process (GP) methods. Robust in nature, GP data fitting can accommodate a wide-range of data without prior knowledge of its shape. In addition, it fits training data exactly which is advantageous for computer experiments.