High-quality FRF measurements are the foundation of reliable test-based models — yet acquiring them is time-consuming, costly, and vulnerable to errors that only surface late in the workflow. Even experienced engineers can lose valuable insight through sub-optimal design of experiment, inconsistent measurements, or limited use of the data afterwards. DIRAC reduces these risks by helping you acquire trustworthy FRF data and extract more value from every measurement and model. 

Typical challenges in FRF-based testing include: 

• High effort and cost to set up and execute reliable measurement campaigns 
• Strong dependence on user experience, increasing the risk of errors 
• No feedback during measurement — problems surface only in post-processing 
• Standard measurement approaches capture only translational degrees of freedom, leaving rotational contributions unmeasured and interface descriptions incomplete 
• Difficulty translating raw FRF data into validated, reusable component models 
• Gaps between measured results and the models simulation teams can actually use 

DIRAC was designed to close these gaps — from design of experiment through to a quality-assured test-based model — in a single, integrated workflow. 

DIRAC helps engineers design high-quality experiments before any data is measured. A modern 3D environment brings geometry, sensors, excitations, and Virtual Points together in one place, reducing setup errors and improving traceability.

Key capabilities include:

• Interactive 3D environment for experiment design
• Direct visualization of CAE models for informed sensor placement
• Definition of sensors, impacts, shakers, and Virtual Points on the geometry
• Instant validation of degrees of freedom and measurement completeness
• Clear, traceable experiment setup as a foundation for accurate FRFs

DIRAC applies advanced analysis directly to validated FRF measurements, turning test data into reliable engineering insight. Within a single workflow, engineers can create meaningful interfaces, extract dynamic behavior, and assess how accurately models represent the measured structure. This ensures that measurement results are immediately usable for simulation, validation, and further engineering work.

Available analyses include:

• Virtual Point (VP) transformation – Create physically meaningful interfaces from measured FRFs
• Modal analysis – Identify and interpret structural dynamics
• Model validation – Compare test data with CAE models
• Reciprocal NTF measurements – Verify transfer behavior and reciprocity
• Mount identification and fitting – Identify boundary conditions and mount properties