Physics Engines and Simulation in Game Development

Physics engines are the systems inside a game that decide whether a crate slides, a bridge collapses, or a car rolls convincingly after hitting a wall. They govern how simulated objects move, collide, and respond to forces — and the choices made in selecting or configuring one will echo through every corner of a game's feel, performance budget, and development timeline.

Definition and scope

A physics engine is a dedicated software system that applies the rules of classical mechanics — Newton's laws, rigid body dynamics, collision detection, and constraint solving — to objects inside a simulated world. In game development, physics engines operate in real time, which is a significant constraint: unlike offline physics simulation used in film visual effects, game physics must resolve every frame within a strict time budget, typically 16 to 33 milliseconds for a 30–60 frames-per-second target.

The scope of what a physics engine handles divides into two broad categories. Rigid body physics treats objects as undeformable solids — boxes, spheres, capsules, and convex hulls whose shape never changes regardless of the forces applied. Soft body physics and fluid simulation model deformation, tearing, and fluid flow, but carry substantially higher computational costs and are used selectively, often faked with visual tricks when full simulation isn't feasible.

For a grounding in how physics fits alongside rendering, scripting, and audio inside a broader game runtime, the Game Engines Overview page covers the full engine architecture picture.

How it works

At the core of every real-time physics engine is a loop that runs once per simulation step — typically at a fixed timestep independent of the rendering framerate, often 50 or 60 Hz. Each step follows a structured sequence:

  1. Broad-phase collision detection — A fast, approximate pass (using spatial partitioning structures like bounding volume hierarchies or axis-aligned bounding box trees) eliminates object pairs that obviously can't be touching.
  2. Narrow-phase collision detection — Precise geometry tests on surviving pairs to find exact contact points and penetration depths.
  3. Constraint solving — An iterative solver (Sequential Impulse is the most widely used method, popularized by Bullet and adopted in many successors) resolves contacts, joints, and physical constraints to prevent interpenetration and enforce connections.
  4. Integration — Updated velocities and positions are written back to each body using a numerical integration scheme, most commonly semi-implicit Euler, which is fast and stable enough for interactive simulation.

Two named engines dominate the open-source and middleware landscape: Bullet Physics, maintained as an open-source project and used in titles across multiple platforms, and PhysX, developed by NVIDIA and licensed for commercial use — PhysX is the default physics backend in Unity and has been used in Unreal Engine projects. Box2D, created by Erin Catto, handles 2D rigid body simulation and is embedded in dozens of frameworks targeting mobile and indie development (Box2D documentation).

Physics simulation connects directly to gameplay feel, which is why Game Mechanics and Systems Design intersects so closely with physics configuration — the "weight" of a character jump is largely a tuning problem.

Common scenarios

Physics engines appear in recognizably different roles depending on genre and design intent:

Decision boundaries

The most consequential decision in physics implementation is the choice between discrete and continuous collision detection (CCD). Discrete detection checks object positions at each frame endpoint — fast, but liable to "tunneling," where a fast-moving thin object passes through geometry between frames. CCD adds swept-shape tests to catch those cases, at a meaningful performance cost. The rule most physics documentation follows: reserve CCD for small, fast-moving objects (bullets, arrows) and use discrete detection everywhere else.

Equally important is the choice between deterministic and non-deterministic simulation. Most physics engines, including PhysX in its default configuration, produce results that vary subtly across hardware due to floating-point ordering. Multiplayer games requiring lockstep synchronization — fighting games being the clearest example — often forgo GPU-accelerated or multi-threaded physics entirely and use fixed-point arithmetic engines specifically to guarantee determinism across machines.

The Multiplayer and Online Game Development page covers why that determinism requirement changes nearly every technical decision downstream.

For teams evaluating whether to build on Unity's PhysX integration or Unreal Engine's Chaos Physics system (Unreal's in-house engine introduced with Unreal Engine 5 to replace PhysX for destruction and cloth), the Unity vs Unreal Engine comparison walks through the tradeoffs in practical terms. Studios operating within the broader US game development industry landscape will find both engines have substantial support ecosystems around each physics backend.

The question of how much simulation is "enough" is ultimately a design question masquerading as a technical one — and the answer almost always depends on what the player is actually supposed to feel.

References