Different Stress Measures | Computational Mechanics Visualization | Skill-Lync Resources

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Lesson 5 of 11 20 min

Different Stress Measures

In large deformation analysis, there are multiple ways to define stress. Different FEA software packages output different measures by default. Understanding these measures is essential for correct result interpretation.

The Three Main Stress Measures

1. Cauchy Stress $\boldsymbol{\sigma}$ (True Stress)

Force per unit current area. This is the "true" stress that acts on material in its deformed state.

$$\mathbf{t} = \boldsymbol{\sigma} \cdot \mathbf{n}$$

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where $\mathbf{n}$ is the current normal vector.

Used by: LS-DYNA (default), ANSYS, most commercial codes for results visualization.

2. First Piola-Kirchhoff Stress $\mathbf{P}$

Force per unit reference area. This is the nominal or engineering stress.

$$\mathbf{P} = J \boldsymbol{\sigma} \cdot \mathbf{F}^{-T}$$

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Used by: Some formulations, connects to traction on reference surfaces.

3. Second Piola-Kirchhoff Stress $\mathbf{S}$

Completely in reference configuration. Work-conjugate to Green-Lagrange strain.

$$\mathbf{S} = \mathbf{F}^{-1} \cdot \mathbf{P} = J \mathbf{F}^{-1} \cdot \boldsymbol{\sigma} \cdot \mathbf{F}^{-T}$$

Used by: Material models in Abaqus (UMAT), theoretical derivations.
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Physical Interpretation

Consider a rubber specimen being stretched:

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QuantityCauchy σ1st P-K P2nd P-K S
Area usedCurrent (smaller)Reference (original)Reference
Force directionCurrentCurrentReference (pulled back)
Symmetric?YesNoYes
Use caseResults visualizationMixed formulationsConstitutive laws
Toggle between stress measures to see how traction vectors differ.

Conversion Formulas

If you have one stress measure, you can compute the others:

From Cauchy to 1st P-K:

$$\mathbf{P} = J \boldsymbol{\sigma} \cdot \mathbf{F}^{-T}$$

From Cauchy to 2nd P-K:

$$\mathbf{S} = J \mathbf{F}^{-1} \cdot \boldsymbol{\sigma} \cdot \mathbf{F}^{-T}$$

From 2nd P-K to Cauchy:

$$\boldsymbol{\sigma} = \frac{1}{J} \mathbf{F} \cdot \mathbf{S} \cdot \mathbf{F}^T$$

Python Code

import numpy as np

def convert_cauchy_to_pk1(sigma, F):
    """P = J * sigma * F^{-T}"""
    J = np.linalg.det(F)
    F_inv_T = np.linalg.inv(F).T
    P = J * sigma @ F_inv_T
    return P

def convert_cauchy_to_pk2(sigma, F):
    """S = J * F^{-1} * sigma * F^{-T}"""
    J = np.linalg.det(F)
    F_inv = np.linalg.inv(F)
    S = J * F_inv @ sigma @ F_inv.T
    return S

# Example
F = np.array([[1.5, 0.2], [0.1, 0.8]])  # Deformation gradient
sigma = np.array([[100, 20], [20, 50]])  # Cauchy stress (MPa)

P = convert_cauchy_to_pk1(sigma, F)
S = convert_cauchy_to_pk2(sigma, F)

print(f"Cauchy σ:\n{sigma}")
print(f"\n1st P-K P:\n{P}")
print(f"\n2nd P-K S:\n{S}")

When to Use Each Measure

SituationBest ChoiceWhy
Visualizing resultsCauchy σPhysical stress in current state
Material modeling2nd P-K SSymmetric, objective
Boundary tractions1st P-K PRelates to reference areas
Small strainsAll equivalentDifferences are negligible

Automotive Application: Engine Mount Rubber

An engine mount under preload experiences large deformation. The FEA software reports stress, but which measure?

  • LS-DYNA d3plot: Cauchy stress by default
  • Abaqus UMAT: Typically works with 2nd P-K internally
  • Engineering reports: Often convert to "engineering stress" (1st P-K divided by reference area)

Understanding these differences prevents factor-of-2 errors in fatigue life predictions!

Key Takeaways

  • Cauchy σ: True stress, current configuration, symmetric
  • 1st P-K P: Nominal stress, force/reference area, NOT symmetric
  • 2nd P-K S: Reference configuration, symmetric, for material laws
  • For small strains, all three are essentially equal
  • Know your FEA software's default output!

What's Next

In the next lesson, we'll review FEM & Shape Functions — how continuous fields are approximated with nodal values and interpolation.

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