In many engineering applications, materials experience permanent plastic deformation before failure. Accurately simulating such behavior in FEA (finite element analysis) requires the use of nonlinear material models, especially for plastics and some metals that do not conform well to simple linear assumptions. However, modeling these materials is complex due to their nonlinear, time-dependent, and often poorly defined mechanical behavior.
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Nonlinear behavior in FEA is typically modeled using an elastic-plastic decomposition of the stress-strain curve:
where:
This model assumes:
This approach is generally accurate for metals, which show clear yield points and linear elasticity. For non-metals, especially plastics, these assumptions often introduce significant artifacts that reduce simulation accuracy.
Plastics behave very differently than metals:
As illustrated in research by Courtney, the plastic stress-strain behavior of plastics can be divided into three regions:
These behaviors make it difficult to:
Furthermore, plastics exhibit viscoelasticity — strain recovery occurs over time, not instantly. Many FEA programs only support linear viscoelastic models, which become invalid once the material exceeds the nonlinear elastic limit.
The traditional metal-based elastic-plastic model assumes a clear division between linear elasticity and post-yield plasticity. For plastics, this model oversimplifies:
Thus, two fundamental compromises arise:
These compromises lead to inaccurate results, particularly when using FEA for stress predictions, failure assessments, or simulations involving unloading, cyclic loading, or creep.
To bridge the gap between theory and practice, two main modeling strategies are used to implement plasticity in FEA:
This method approximates the entire elastic region (up to an arbitrary point) with a secant modulus, effectively averaging the nonlinear elasticity into a single slope. An assumed "yield point" defines when plasticity begins, and beyond this, the model treats strain as plastic.
Advantages:
Disadvantages:
This approach is a compromise, often used when high-fidelity data or advanced material models are unavailable.
In this method, the initial elastic modulus (i.e., the tangent modulus at zero strain) is used to describe the elastic portion of the stress-strain curve. The yield point is chosen — often at or near the nonlinear elastic limit — and plasticity is computed from that point onward.
A chord or tangent line is drawn to the yield point, and the rest of the curve is decomposed into plastic strain using the conventional elastic-plastic model.
Advantages:
Disadvantages:
This method is often favored for polymers when more precision is required in the elastic response without completely adopting advanced viscoelastic or damage models.
Nonlinear material modeling is essential for accurate FEA of plastics and nonlinear metals, especially where permanent deformation or post-yield behavior is important. However, the traditional elastic-plastic framework developed for metals often falls short for plastics due to:
Two main modeling strategies — secant and tangent modulus-based approaches — are commonly used to approximate this complex behavior in FEA tools. While they can provide reasonable accuracy for loading simulations, they are less reliable for unloading, cyclic loading, or failure prediction.
To advance simulation accuracy, analysts must understand the material-specific stress-strain behavior, be cautious in defining yield points, and choose modeling approaches that balance complexity, data availability, and simulation goals.
To explore the topics discussed on this page further, see Hubert Lobo (Founder, DatapointLabs) and Brian Croop (CEO, DatapointLabs), Determination and Use of Material Properties for Finite Element Analysis (NAFEMS, 2016), Ch.5.