**Plastic material models** are still scarcely employed in structural analysis. Many engineers try to avoid the use of nonlinearity as much as they can! **Nonlinear** material models, **contact** problems, **damage**, acquired the fame to be features difficult to control, to lead to unreliable results, to be very complex to set up, and, thing that no engineer likes very much, to make your simulation **NOT converge**.

However, nonlinear material models are very **powerful**! They can lead to much more efficient and convenient designs. In my opinion, there are at least **5 very good** **reasons** **TO USE** **nonlinear material models** in engineering calculations. Here they are!

# 1. The nature is NOT linear!

**Linear elasticity** is the first approximation used in Finite Element Analysis (FEA) to describe the behavior of any structure. This is an excellent idea, since most of known materials have linear elastic behavior, at least for very small deformations. So, you can apply the **Hooke’s law**, and most probably you can always find a solution for the problem you are simulating!

However, after this first elastic trend, if you continue to deform your material, it is very likely that it will develop some kind of **plastic**/**inelastic**** strain**. At this point, things change a lot:

- First of all, if you unload your structure, it will not have the same shape as before, since the plastic deformation is
**not reversible.** - Second, your problem becomes
**nonlinear**, and this has many consequences! One of the most important, is that the**superimposition principle**is not valid anymore. Therefore, if you have two loads (A & B) to apply to your structure, applying first A and then B could NOT be the same as applying first B and then A!

## Plasticity theory

To simulate plasticity and thus get **reliable calculation results**, engineers and mathematicians developed several theories. One of the most used in Finite Element Analysis is the so-called **flow plasticity theory**.

This theory assumes that a **flow rule** can be used to determine the amount of plastic strain in the material. Furthermore, in this theory we must define a so-called **yield surface**.

The yield surface divides the purely **elastic domain** from the **elasto-plastic domain**. Roughly speaking, this surface determines the yield strength of a material, for example steel.

## Hardening and softening models

If there is **hardening** in your material model, once the material develops plastic strain, the yield surface will **increase its size**. In this way, if you **unload** and **reload**, you will see that the linear behavior of the material lasts longer. Exactly what happens with **cold-formed steel**.

Otherwise, if the material shows **softening**, for example before **failure** or due to **temperature increase**, the **yield surface **will** shrink**. In this way, the material strength results reduced.

So, everything sounds very complicated. Let’s speak now about some advantages.

# 2. Better estimation of stresses

When **plastic strain** starts to develop, the **stress-strain** curve usually become less steep. We can catch the correct behavior of the material only with a model that is able to represent this **variation of stiffness**.

As shown in the picture above, advanced material models with properly identified material parameters can describe exactly this nonlinear behavior.

Otherwise, if we approximate the material behavior to linear elastic, this has **two important implications**:

- In a point where the material yields, or develop plastic strain, we will have
**much higher stresses**than in the reality. This will lead to higher internal forces (e.g.**the bending moment**) in the structure and possible**oversizing**during design. - If a point of the structure resists less than assumed, where does the force go? The force will most probably redistribute in some other parts of the structure. There, stresses will be
**higher**than**expected**! So, by assuming elastic material behavior, we could**accidentally****undersize**relevant parts of the structure.

**3. Highly precise displacements**

During a design, the engineer would like to correctly estimate how much the imposed loads are going to deflect the structure. This is important for several reasons:

- in
**civil engineering**, the standards impose strict limitations on the structure deflection, in order to ensure**serviceability**; - in
**mechanical engineering**, the correct behavior of the mechanical parts depends on the mutual movement between the components. Excessive movements can lead to**malfunctioning**.

Neglecting inelastic deformation usually make the structure stiffer than it is. As it is possible to see in the video above, the natural consequence is that, by modelling the structure as linear elastic, we can **underestimate the real displacements of the structure**.

# 4. More convenient designs

As stated above, plastic material models usually lead to higher precision of FE simulations. The natural consequence is that we are closer to the real structural behavior. We can therefore better **predict **the effects of different load combinations and we need less assumptions and approximations during design.

The results are higher quality designs, more durable structures requiring less **renovation** and **maintenance** and devices that **last longer**.

We can save **resources**, **energy**, **labor** and **time** and obtain better **sustainable** progress with great advantages for all of us.

# 5. Plastic material models can predict structural failure

The last and maybe most important point of today’s post is related to **safety**.

The **higher result precision** that we obtain with plastic material models already enhance safety, but there is more.

As mentioned in the first paragraph, when we calculate using** linear elastic** behavior, our simulation is most probably always returning a solution. This is due to the fact that, the more the structure deforms, the more it resists.

This is not the case, when we use **plastic** material models, and it is a **good thing**! Most often, the reason why a nonlinear FE simulation fail to reach convergence is that **static equilibrium** cannot be found. This can be due to the development of **plastic hinges**, that compromise the structural stability.

Therefore, advanced plastic simulation provide to us an additional way to ensure that the **structure** is **safe** and **durable**.

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