Project 1.1: STC Simulation Engine

In off-world construction, there is no room for 'trial and error' in the physical world. A single logic flaw in a construction sequence or an overlooked resource bottleneck results in mission failure and multi-billion dollar losses.

The Simulation Engine matters because it provides Risk Reduction. It allows the STC to fail thousands of times in a virtual environment so it can succeed once in the real one. It transforms the system from a linear pipeline into a closed-loop, iterative learning machine.

The Simulation Engine is the Prognostic Core. It acts as the final validation gate before the Knowledge Graph commits a design to the "Verified" state.

• Consumes: Environment, agent, module, and mission data.
• Produces: Performance metrics, failure probability distributions, and synthetic datasets.
• Interfaces: Feeds outcomes back into the Knowledge Graph to refine future design weights.

The engine utilizes a Monte Carlo-based forecasting architecture:

• Physics-Based Constraints: Simulating real-world variables like gravity-induced stress, solar flux, and radiation.
• Stochastic Failure Injection: Randomly introducing "Black Swan" events (e.g., hardware glitches, extreme solar flares) to test system resilience.
• Time-Step Simulation: Running the mission over years at real-time speed to observe long-term resource depletion over decades.

The Discrete Time-Step Runner is currently operational. It can simulate 72 hours of mission time in approximately 1.2 seconds, checking for resource violations at every 60-minute interval.

Current Credibility: The engine successfully identified planetary night power gaps, specifically the "Lunar Night Power Gap" in the phase 2 test case—a failure that was missed by the initial linear optimizer but caught by the simulation.

• Probability: Introduction of a monte carlo simulation along side module failure logic from deterministic to stochastic
• Improved Physics Engine: Implementing a number of physics logic including improved solar energy calculation, radiation, and module maintenance.