A játékról

Space Crash Simulator is a real-time planetary collision sandbox powered by GPU-accelerated SPH (Smoothed Particle Hydrodynamics). Every planet, star, and fragment is built from interacting particles that deform, melt, and break apart under extreme forces.

The simulator is designed as an open-ended tool rather than a traditional game. There are no missions or objectives. You set the initial conditions, run the simulation, and observe the results.

You can control key physical parameters such as:

• particle count

• particle mass

• viscosity

• impact velocity

• spin and angular momentum

Planets can be customized with built-in textures or user-imported images. A high-mass “black hole particle” is also available for experiments involving tidal disruption and extreme gravity.

Simulation Modes

Two-Body Collisions
Direct or glancing impacts between two celestial bodies.

Three-Body Interactions
Unpredictable gravitational dynamics where small differences in initial conditions produce very different outcomes.

Protoplanetary Disc + Star
Experiments involving accretion, disc formation, and early system evolution.

Galaxy Mode
Simplified large-scale interactions between galactic cores. This mode focuses on gravitational dynamics and does not apply full SPH fluid simulation due to scale.

Physics Approach

Space Crash Simulator uses Smoothed Particle Hydrodynamics to model high-energy impacts and material flow. This method is commonly used in scientific simulation of fluids, pressure, and deformation. As a result, bodies behave like cohesive matter under stress rather than rigid objects. Fragmentation, shock fronts, stretching, and accretion emerge naturally from the underlying equations.

Intended Use

The simulator is suited for players interested in:

• astrophysics

• orbital mechanics

• impact dynamics

• scientific visualization

• open-ended sandbox experimentation

It is not a mission-based game and does not include a storyline, progression system, or competitive mechanics. The focus is entirely on constructing scenarios, adjusting parameters, and observing the physical behaviour that follows.