Stress tensor and pressure relationship

In summary, the stress tensor is a mathematical representation of internal forces within a material, encompassing normal and shear stresses acting on different planes. The relationship between the stress tensor and pressure is particularly significant in fluid mechanics; pressure is a scalar quantity that corresponds to the normal stress acting uniformly in all directions at a point in a fluid. In isotropic materials, the stress tensor can be simplified, showing that pressure acts as a negative mean of the normal stresses. Understanding this relationship is crucial for analyzing material behavior under various loading conditions.
  • #1
Seyn
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I'm studying with Currie's Fundamental Mechanics of Fluids, Fourth edition.
I'm confusing with the above statement; the force acting in the x2 direction is P2=s12n1 which is n1 direction.
Is there anybody help me to understand this subject?
 
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  • #2
Seyn said:
the force acting in the x2 direction is P2=s12n1 which is n1 direction.
No, ##P_2=\sigma_{12}n_1## is the second component of a vector. That vector is the result of multiplying your original normal vector by a matrix, so can be in an arbitrary direction. Its second component is the component in the direction of your second basis vector.

Note that I think the author has tried to simplify the notation slightly, and I think he's done it in an unhelpful way. The point is that there's a normal vector ##\vec n## which he has chosen to be parallel to the first basis vector, so in component form it is ##(n_1,0,0)^T##. So I'd say that "the unit normal vector ... is ##n_1##" is possibly confusing the issue - ##n_1## is a component of a vector (in this case, the only non-zero component, but still only a component), not a vector itself.
 
  • #3
Ibix said:
No, ##P_2=\sigma_{12}n_1## is the second component of a vector. That vector is the result of multiplying your original normal vector by a matrix, so can be in an arbitrary direction. Its second component is the component in the direction of your second basis vector.

Note that I think the author has tried to simplify the notation slightly, and I think he's done it in an unhelpful way. The point is that there's a normal vector ##\vec n## which he has chosen to be parallel to the first basis vector, so in component form it is ##(n_1,0,0)^T##. So I'd say that "the unit normal vector ... is ##n_1##" is possibly confusing the issue - ##n_1## is a component of a vector, not a vector itself.
Do you mean the point is,
##\vec{P}=(P_1,P_2,P_3)## and,
##P_j=\sigma_{ij}n_i##
so
##\vec{P}=\sigma_{ij}n_i \hat{e_j}##??
 
  • #5
Ibix said:
Yes.
Thank you for your kind explanation!
 
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  • #7
You are confused because the result the author gives is wrong. A unit vector in the 1 direction is (1,0,0). The components of the stress vector on the surface of constant x (i.e., 1) are ##P_1=\sigma_{ 11}##, ##P_2=\sigma_{ 12}##, and ##P_3=\sigma_{ 13}##. So the stress vector is ##(P_1,P_2,P_3)=(\sigma_{11},\sigma_{12},\sigma_{13})##
 
  • #8
Chestermiller said:
You are confused because the result the author gives is wrong. A unit vector in the 1 direction is (1,0,0). The components of the stress vector on the surface of constant x (i.e., 1) are ##P_1=\sigma_{ 11}##, ##P_2=\sigma_{ 12}##, and ##P_3=\sigma_{ 13}##. So the stress vector is ##(P_1,P_2,P_3)=(\sigma_{11},\sigma_{12},\sigma_{13})##
Thanks for the reply. Do you mean the term ##n_i##s are the component of arbitrary surface vector##\vec{n}##, and the author chose an unit vector in the 1 direction as the surface vector for the first example which is ##(1,0,0)##? As a result, because ##n_1=1##, ##n_2=0##, ##n_3=0##, the surface force vector is ##P_j=\sigma_{ij} n_i=(1 \cdot \sigma_{11}+0 \cdot \sigma_{21}+0 \cdot \sigma_{31},1 \cdot \sigma_{12}+0 \cdot \sigma_{22}+0 \cdot \sigma_{23},1 \cdot \sigma_{13}+0 \cdot \sigma_{23}+0 \cdot \sigma_{33})=(\sigma_{11},\sigma_{12},\sigma_{13})##??
 
  • #9
Seyn said:
Thanks for the reply. Do you mean the term ##n_i##s are the component of arbitrary surface vector##\vec{n}##, and the author chose an unit vector in the 1 direction as the surface vector for the first example which is ##(1,0,0)##? As a result, because ##n_1=1##, ##n_2=0##, ##n_3=0##, the surface force vector is ##P_j=\sigma_{ij} n_i=(1 \cdot \sigma_{11}+0 \cdot \sigma_{21}+0 \cdot \sigma_{31},1 \cdot \sigma_{12}+0 \cdot \sigma_{22}+0 \cdot \sigma_{23},1 \cdot \sigma_{13}+0 \cdot \sigma_{23}+0 \cdot \sigma_{33})=(\sigma_{11},\sigma_{12},\sigma_{13})##??
yes
 

FAQ: Stress tensor and pressure relationship

What is a stress tensor?

A stress tensor is a mathematical representation that describes the internal forces acting within a material. It quantifies how these forces are distributed over an area and is represented as a second-order tensor, which can encapsulate normal and shear stresses acting on different planes within the material.

How does pressure relate to the stress tensor?

Pressure is a specific case of the stress tensor where the stress is uniform in all directions. In a fluid at rest, the stress tensor is isotropic, meaning that the normal stress components are equal, and the shear stress components are zero. This uniform stress is often referred to as hydrostatic pressure.

What are the components of a stress tensor?

A stress tensor in three dimensions has nine components: three normal stresses (σ_xx, σ_yy, σ_zz) acting on the respective axes and six shear stresses (σ_xy, σ_xz, σ_yx, σ_yz, σ_zx, σ_zy) acting on the planes defined by those axes. The normal stresses correspond to forces acting perpendicular to the surfaces, while the shear stresses correspond to forces acting parallel to the surfaces.

How does the stress tensor change under deformation?

Under deformation, the components of the stress tensor can change depending on the material's properties and the type of deformation (e.g., tensile, compressive, or shear). The relationship between stress and strain is typically described by constitutive models, such as Hooke's law for elastic materials, which relates stress to strain through material-specific parameters like Young's modulus and Poisson's ratio.

Can the stress tensor be used to predict failure in materials?

Yes, the stress tensor can be used to predict failure in materials by applying failure criteria, such as the von Mises or Tresca criteria. These criteria relate the stress state represented by the stress tensor to the material's yield strength, allowing engineers to assess whether a material will yield or fracture under applied loads.

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