Assemble
Connect discipline models through typed variables, units, transforms, shared geometry, and explicit coupling relationships.
Capabilities
Integrated multidisciplinary design, analysis, and optimization
Trade the whole system, not one discipline at a time.
Coordinate geometry, aerodynamics, structures, thermal behavior, propulsion, controls, cost, and manufacturability.Scope
Coupled analysis with explicit ownership
Governing principle
An optimum is meaningful only inside its assumptions and constraints.
System performance lives between disciplines.
The best aerodynamic shape may be structurally impractical. The lightest structure may be thermally unacceptable. AeroGalactica represents discipline couplings, shared variables, constraints, derivatives, and quantities of interest as a reviewable model graph so the optimization can search the real system trade rather than a collection of isolated local answers.
System logic
An integrated multidisciplinary campaign
Differentiate
Record analytic, adjoint, automatic, or finite-difference derivative products with their method and validity region.
Search
Let optimizers propose candidates under approved budgets, constraints, concurrency, and solver capabilities.
Compare
Build an evidence-backed Pareto set that exposes tradeoffs, failures, uncertainty, and sensitivity.
Couplings are inspectable.
Teams can see what each discipline consumes, produces, assumes, and changes instead of hiding the system inside orchestration code.
Derivatives are evidence products.
Every gradient is tied to a primal state, method, tolerances, linearization point, and known nondifferentiable regions.
Pareto review remains human-legible.
The result is not only a winning candidate. It is a defensible map of the compromises that led to a decision.
Integrated Multidisciplinary Design, Analysis, and Optimization frameworks turn engineering from sequential negotiation into a connected search over the actual system.
Continue through the system