Model-Based Engineering (MBE) Tools & Methods
Integrate computational models with physical testing to accelerate the development and deployment of mission-critical defense platforms.
Earlier, Faster, More Predictable Testing
Model‑Based Engineering—using computational models as primary engineering tools and artifacts throughout development—promises to transform and accelerate how mission‑critical defense platforms are designed, validated, and deployed. Drawing on decades of pioneering work spanning civil engineering, automotive, and aerospace, MTS has amassed an arsenal of proven model‑based tools that are engineered to enable faster, more predictable, higher fidelity test and simulation—earlier in development.
MTS Model-Based Engineering (MBE) Toolset
- Hybrid Simulation: computational (modeled) test articles and environments integrate with physical tests of real components to conduct real-time or iterative evaluations of complete vehicles, structures, substructures, subsystems, and components earlier in development.
- Model-Assisted Compensation (MAC): reduced order specimen models and computational (modeled) test rigs run in sync with a physical test system to minimize control errors so that complex, dynamic tests of large substructures can run faster.
- Virtual Testing: computational (modeled) test rigs and test articles simulate physical testing, yielding a wealth of predictive data for streamlining preparation, setup, and start-up of highly complex vehicle and structural tests.
- Advanced Neural Networks (ANN): accurate, fast‑learning stand‑in models derived from test data drive real‑time digital twins, refine MAC performance, and enhance hybrid simulations. The result: faster testing, improved accuracy, and greater overall stability.
