3D Simulation of Bounce and Fatigue in Structural Glass

Published on May 31, 2026 | Translated from Spanish

Fatigue simulation in glass materials requires a multidisciplinary approach that combines impact dynamics with fracture mechanics. By modeling the bounce of an object on a glass surface, we not only observe the post-collision trajectory but must also quantify the energy absorbed by the material. This technical article breaks down the essential parameters for digitally recreating this phenomenon, from Young's modulus to the fracture threshold, using finite element software such as Ansys or game engines like Unreal Engine with advanced physics.

3D simulation of bounce and fatigue in structural glass with impact and fracture analysis

Physical parameters and finite element modeling 🧊

For an accurate simulation, the coefficient of restitution of tempered glass should range between 0.85 and 0.95 for elastic impacts. However, when exceeding the fracture stress limit (around 100 MPa for soda-lime glass), the model must activate a transition to brittle fracture. In the finite element mesh, a node density of at least 10 elements per millimeter in the impact zone is recommended to capture the propagation of radial cracks. The Young's modulus of glass (70 GPa) and Poisson's ratio (0.22) define the initial stiffness, while the surface fracture energy (approximately 10 J/m2) determines the threshold where bounce turns into penetration.

Visualization of progressive degradation 🔍

Beyond the single impact, the true value of this simulation lies in cyclic fatigue. By applying 10,000 low-energy impacts, we can observe how microcracks coalesce, reducing the effective coefficient of restitution by 15% before catastrophic failure. The 3D rendering of this process must include real-time residual stress maps, showing how shock waves reflect off the panel edges. This approach allows engineers to predict the lifespan of glass facades exposed to hail or urban vibrations, optimizing the thickness of laminated glass without resorting to physical prototypes.

Considering that traditional fatigue models often ignore stress redistribution after micro-impacts, how can the 3D bounce simulation be calibrated to predict the lifespan of laminated structural glass without resorting to extensive destructive physical tests?

(PS: Material fatigue is like yours after 10 hours of simulation.)