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July 28, 2026

No longer a shot in the dark: Predicting metal failure under stress

The design and safety of defense systems could benefit from this model

Metal Failure
Predicting where tiny holes form in metal and how damage can spread until it breaks completely is important for the safety and design of defense systems. Credit to: Adobe Stock

An improved model from Los Alamos scientists predicts how metals can develop microscopic holes quickly and eventually fail when hit with fast, intense forces ­— such as impact, explosions or shockwaves. The work, published in the International Journal of Solids and Structures, has potential for real-world military applications.

Read the paper

Why this matters: Predicting damage in metals accurately is crucial for the safety and design of weapons and other defense systems.

How it works: The Los Alamos team reformulated the original TEnsile PLAsticity (Tepla) damage model, which identifies the point where tiny holes first form and how they grow and connect, leading to increasing damage until the stretched metal breaks completely. The Lab’s standard tool for simulating the failure of metals under dynamic loading suffered undesirable mesh sensitivity and lacked the capability to simultaneously predict macroscopic and microscopic measurements. 

modified Tepla model
Free surface velocity (a) and the distribution of tiny internal voids (porosity) through the thickness of a copper sample (b) from a plate impact test. The figure compares simulation results using different mesh sizes. The modified Tepla model closely matches the experimental measurements for both velocity and porosity, and it shows much less sensitivity to the choice of mesh size, making the predictions more reliable. Credit: Thao Nguyen et al., International Journal of Solids and Structures, CC BY-NC 4.0

What they did: 

  • The team separated two kinds of viscosity in the original Tepla model: one that affects the material’s overall (big‑scale) flow behavior and another that controls how tiny voids grow inside the material. Treating these separately makes the model more accurate and improves its ability to predict what really happens.
  • Los Alamos scientists tested and confirmed the revised model using data from impact and explosion experiments.

Funding: The U.S. Department of Energy National Nuclear Security Administration’s Advanced Simulation and Computing program 

LA-UR-26-25205

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