Simulation Master

Yade is an extensible open source framework for discrete numerical models, focused on the Discrete Element Method. Its computation parts are written in C++ using a flexible object model that allows independent implementation of new algorithms and interfaces, while Python is used for rapid and concise scene construction, simulation control, postprocessing, and debugging. Yade is designed for researchers and engineers who need to create, run, inspect, modify, and extend particle-based simulations through scripts, interactive commands, graphical tools, and reusable simulation components. Simulations can be built from specialized generators or constructed directly with Python scripts, giving users flexibility for developing custom models, importing geometries, reusing code, and controlling the full simulation loop. It represents each simulation as a scene containing bodies, interactions, and resultant forces, with bodies defined by geometry, material properties, state variables, etc.

Simulation modeling or Predictive modeling is a potent tool for developing experimental computer models that are exact copies of an existing system. These models include an AutoCAD layout, and are enhanced visually through animation to verify that the model is running just like the real system. In addition, the model runs real-world patient or product schedules and the behavior of the computer model can be benchmarked against the real system if it exists. Once a simulation model has been created, we can efficiently and accurately run detailed experiments on the computer model, and tune it for outstanding performance without ever disturbing the real system. Simulation is also commonly used to design new systems from scratch. Starting with a mere concept, our simulation models are regularly used to craft the "perfect facility, hospital, or clinic" for your organization. Simulation is also utilized as an improvement tool to existing systems that under-perform.