Classical vs. Operational Modal Analysis
Classical modal analysis is the process of extracting dynamic characteristics of a vibrating system from measured force inputs and vibratory responses, whereas operational modal analysis extracts the dynamic characteristics of a vibrating system in its operating environment solely from vibratory responses. Both of these methods offer distinct advantages and disadvantages in designing and developing today's automotive structures (e.g., automobiles, trucks, ATV, etc.) and their systems and components (e.g., body, engine, exhaust, etc.)
Why Classical Modal Analysis?
Classical modal analysis is a more mature technique, in comparison to operational modal analysis, and is extremely useful in the design of automotive structures. The understanding and visualization of scaled mode shapes is invaluable in the design process to identify areas of weakness and provide direction on structural improvements. Enhanced computing power and advances in finite element analysis (FEA) techniques have increased the fidelity of today's automotive analytical model and in several cases have reduced the need for classical modal analysis, especially with legacy structures. However, classical testing will continue to be required to give engineers the confidence they need to continue to bring new product into development in today's competitive automotive market. Common applications for classical modal analysis include:
- Modal alignment
- Analytical model correlation
- Design studies
- Force response simulation
- Cascade target setting
Modal alignment is performed early in the design process to mitigate risk of structural resonance issues in the automotive structure. The desired resonant behavior of structures, systems, and components is mapped out prior to design and development and is predominately used as a constraint in the design process. Adherence to this requirement is performed analytically and experimentally with early development prototypes.
Four Primary Assumptions of Classical Modal Analysis
Whether it is quick troubleshooting or full model correlation, successful classical modal analysis relies heavily on adhering to the four primary assumptions: observability, linearity, time invariance and reciprocity.