Infrastructure for Simulation-Driven Design Validation

How explicitly business rules and processes are documented

• Simulation scenario definitions (load cases, boundary conditions, material assignments) must be formally specified in versioned configuration files, not embedded in analyst-specific model files
• Mesh quality criteria and convergence thresholds must be documented as acceptance standards before AI-accelerated solvers can be validated against traditional methods

Whether operational knowledge is systematically recorded

• Simulation result outputs (stress fields, displacement maps, flow profiles) must be captured in a structured schema that preserves solver version, mesh parameters, and input configuration

How data is organized into queryable, relational formats

• Result data structures must support comparison queries across design iterations so engineers can retrieve delta analysis without manual file management

Whether systems expose data through programmatic interfaces

• Simulation environment must be accessible to design engineers, not only simulation specialists, through defined role-based access tied to validated use cases

How frequently and reliably information is kept current

• Simulation model library (material cards, load case templates) must have a defined update cadence triggered by new material certifications or validated test data

Whether systems share data bidirectionally

• CAD-to-simulation geometry handoff must follow a defined translation protocol that preserves design intent features and flags simplification decisions made during meshing