Simulation can help engineers predict how materials and components will behave before building prototypes, but the model is only as reliable as the material data behind it. Andrea Incardona, application engineer and product specialist at Instron, argues that high strain rate testing can provide a more representative picture when loading is fast, such as in impacts and crash events.
Many materials have strain-rate-dependent properties: their mechanical response changes as loading speed increases. A material characterized under quasi-static conditions may therefore behave differently in a rapid event. Incardona cites a 2025 study in the SAE International Journal of Materials and Manufacturing, titled 'Influence of Strain Rate Effect on Mechanical and Crashworthiness Properties of CFRP Composite Structures'. It found that incorporating strain-rate-dependent material properties into crash simulations reduced discrepancies between simulated and experimental results. The discrepancy in peak acceleration fell by 6.5 per cent, while mean acceleration and displacement discrepancies fell by 5.9 and 6.3 per cent respectively. The article says the findings show why the relevance of material data matters as much as its quantity: if a material responds differently as loading becomes faster, capturing that behavior can give engineers a more representative simulation basis.
Testing across loading rates
High strain rate characterization can add insight across a range of conditions. Depending on the specimen, material, geometry and test method, materials can be characterized from quasi-static conditions to strain rates approaching 1,000/s. Tests may last only 3 to 10 milliseconds, requiring data acquisition that can capture the material response over a very short period. A comparison of the same material at different loading rates would show why this matters. If strength, stiffness, deformation mechanisms or failure behavior changes as strain rate rises, relying solely on conventional data could leave a model unable to represent the conditions in a rapid event.
Material selection and design
Conventional properties such as strength and stiffness are important, but they do not necessarily show how a material will respond when loading becomes rapid. Two materials that appear comparable under conventional testing may behave differently under high strain rate conditions. Characterizing their dynamic behavior allows engineers to consider how each material deforms, absorbs energy and ultimately fails under conditions relevant to the application. That becomes particularly important when performance must be balanced against weight. In automotive crash structures or aerospace components, understanding dynamic material behavior can inform both material selection and component design, helping engineers assess the balance of weight, strength and energy absorption.
From data to product development
Dynamic characterization can form part of a development process in which material behavior is measured, incorporated into simulation, used to compare design options and then validated through physical testing. This makes material testing more than a final check on an existing design. Engineers can use dynamic data earlier to assess whether a material is suitable, refine a component design and understand how changes may affect performance.
Accurate data capture remains critical. Instron says its high strain rate testing systems support data acquisition at up to 200 kHz, while digital image correlation can provide additional information about strain development across the specimen. Analysis tools can then support data processing and theoretical modeling.
The company argues that the result is a more connected approach to product development, in which physical testing provides evidence to improve simulation, inform material selection and refine designs. Material data is only as useful as its relevance to the conditions a component will face. By revealing how materials respond to rapid loading, high strain rate testing gives engineers a more complete picture of performance, the company says, helping them make better decisions from simulation through to product development.