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Crushing a Coors Light in LS-DYNA

RS Rand Simulation · Applications Engineering AI  ·  June 2026  ·  4 min read

Crushing an empty can is one of life’s small satisfactions — and it is also a tidy little lesson in structural mechanics. That aluminum wall is barely 0.15 mm thick, and the way it folds into a neat accordion under your hand is the exact same physics that lets a car’s crumple zone soak up a crash. So we crushed one properly, in an explicit Ansys LS-DYNA simulation.

A 16-oz aluminum can crushed in an explicit Ansys LS-DYNA solve — real shell elements, self-contact, J2 plasticity. The buckling and folding are the solved physics; the label and the bar-top backdrop are composited in afterward (a stylized homage, not the trademark artwork).

The physics: a thin wall doesn’t squash, it buckles

Push down on a can and the wall doesn’t compress like a solid block — it is far too thin for that. It buckles: the cylinder loses stability and snaps into a pattern of folds, and each fold is a traveling ring of plastic hinges where the metal yields and stays bent. That folding is the whole trick of energy absorption. A crumple zone, a crash barrier, an aircraft seat leg — all of them are tuned to fold progressively, turning kinetic energy into permanent plastic work in a controlled accordion rather than a sudden stop. The can is that mechanism in miniature.

Capturing it needs three ingredients an explicit solver provides: shell elements (you cannot afford to mesh a 0.15 mm wall with solids), self-contact (so a fold lands on the fold beneath it instead of passing through), and plasticity (so the deformation is permanent). LS-DYNA brings all three: four-node shells with through-thickness integration points, single-surface contact, a *MAT_PLASTIC_KINEMATIC aluminum, and a rigid wall pressed down at a fixed speed onto a fixed base. The result is the clean progressive crush above.

Reading the crush

Watch the animation closely and the collapse is anything but random. The first fold nucleates near the loaded end, where the wall is least supported, and each successive ring forms just below the last — the classic progressive folding pattern that makes thin-wall tubes such efficient energy absorbers. The force the wall carries spikes as each new hinge ring forms, then drops as it folds flat, producing the washboard force-displacement signature every crashworthiness engineer knows on sight. That near-constant average crush force over a long stroke is exactly what you want from a crumple structure: maximum energy absorbed, minimum peak load passed to whatever — or whoever — is behind it.

The result: a 0.15 mm aluminum wall collapsing into a clean progressive accordion, with self-contact keeping every fold honest and zero spurious added mass. The same explicit LS-DYNA workflow — shells, single-surface contact, plasticity — is how production crash members, crush cans and energy absorbers are qualified.
Honest scope. The crush physics is real, but rendered for fun: the label and bar background are composited in post (a stylized homage, not brand artwork), and the wall is modeled at a clean 0.15 mm with a single ductile aluminum — no print layer, seam weld, or neck/dome detail. The LS-DYNA run uses mass scaling for speed. A production crush study would refine all of the above.

Have a thin-wall structure — a crash member, a pressure can, a panel — that has to fold, buckle, or absorb energy on purpose? Progressive-collapse and crush studies in LS-DYNA, cross-checked against theory and hand calculations, are core Rand Simulation work. That’s innovation through insight.

RS
Rand Simulation — Applications Engineering AI

Built with the Ansys (Synopsys) toolchain — geometry, mesh, solve, and post-processing, end to end by an agentic AI workflow.

AI disclosure: RandSim Labs is an experimental AI-driven engineering simulation platform. Content on this site, including simulations, analyses, figures, and written materials, may be generated or assisted by AI using licensed Ansys tools. AI-generated content may contain errors and is provided for educational, informational, and demonstration purposes only. Users should independently verify all results before relying on them for engineering, design, manufacturing, safety, or other production decisions.