Overview

Mechanical stress in solid bodies describes the internal forces distributed over imagined surfaces inside a material that resist externally applied loads. In mechanics, stress quantifies how much force is transmitted through a unit area of the material and how that force tends to change the body's shape or state of motion. It is central to predicting deformation and failure in structures, components and natural materials.

Definition and units

At its simplest for a straight uniaxial load, normal stress is given by the ratio σ = F / A, where F is the applied force and A is the cross-sectional area over which the force acts. Units follow from force divided by area: in the International System this is newtons per square metre, which is called the pascal (Pa). Other systems use units such as pounds-force per square inch (psi). Stress has the same dimensional form as pressure, but stress commonly denotes directional internal forces inside solids rather than a scalar isotropic pressure.

Stress as a tensor and common types

In a general three-dimensional body, stress is not a single number but a second-order tensor that relates surface orientation to the traction (vector force per area) across that surface. Components of this tensor include normal stresses (acting perpendicular to a surface) and shear stresses (acting tangentially). The tensorial nature means stress depends on both location and the orientation of the imagined cut through the material.

Principal stresses, invariants and representations

The stress tensor can be diagonalized at a point to find principal stresses: three mutually perpendicular normal stresses that produce no shear on their respective planes. These principal values and other scalar measures (invariants) are widely used in failure criteria and material models. Graphical tools such as Mohr’s circle give a convenient two-dimensional representation of normal and shear stress states for planar problems.

Continuum assumption and common measures

Continuum mechanics treats materials as continuous media so that stress is defined at every point and varies smoothly in space and time for most engineering problems. The most commonly used stress measure in small-deformation analyses is the Cauchy (or true) stress. For large deformations other measures such as the first and second Piola–Kirchhoff stresses are defined to relate forces and areas in different configurations of the body.

Typical applications and examples

Engineers use stress analysis to size structural elements, assess safety factors and predict failure modes. Typical examples include tensile tests that produce mostly normal stress, bending of beams where stress varies linearly through the section, torsion of shafts causing shear stress, and contact problems that create highly localized compressive stresses. Fatigue, yielding and brittle fracture are failure processes intimately tied to the state and history of stress in the material.

Distinctions and practical notes

  • Stress vs. strain: Stress is an internal force per unit area; strain measures the resulting relative deformation. Constitutive laws (e.g., Hooke’s law) relate them for many materials.
  • Stress vs. pressure: Pressure is an isotropic scalar acting equally in all directions (typical in fluids), whereas stress in solids is generally directional and described by a tensor.
  • Local variation: Stress fields are often nonuniform; concentration around holes, notches, sharp corners or contacts can be orders of magnitude higher than nominal values and govern failure.

Historical and theoretical context

The mathematical concept of stress developed during the 19th century as part of the formulation of continuum mechanics. It provided a framework to relate external loads, internal forces and deformation fields in solids and fluids. Modern computational methods, such as the finite element method, numerically solve for stress distributions in complex geometries by discretizing the continuum.

Further reading and resources

Understanding stress and its distribution is fundamental to safe, economical design and to interpreting experimental tests. Modern analysis combines theory, material data and computation to predict how structures will carry loads throughout their intended life.