Multidisciplinary simulation with AI: structure, environment, flows, optimization. The emphasis is on limits — what a network simulates well, what a classical FEM does better, when a multi-agent system is the right call. Learning to validate results is half the module.
Topics covered: Simulation types and cost, smart workflows, optimization algorithms, AI result validation, alternative simulations, finite element models, ML / EVO / EMO / AI, multiagent systems.
Deliverable F5: PREDICTIVE PERFORMANCE BUILDING MODEL — Integrated computational building system that combines simulation, AI-based prediction and real-time performance analysis to anticipate structural, environmental and operational behaviour, enabling the design of buildings whose geometry and systems are continuously evaluated.
