Research track 02
Computational tools are most valuable when they strengthen—not obscure—structural reasoning. This work connects classical engineering methods with transparent parametric and automated workflows.
Selected studies
A bridge-study workflow linking geometric control in Rhino and Grasshopper with structural analysis in SOFiSTiK. The model is organized around legible parameters so alternatives can be tested without losing the connection between geometry and mechanics.
A classical building-design exercise focused on load paths, system selection, and the disciplined translation from architectural geometry to an analysable structural model.
Automating repetitive model operations and structured data exchange with Python. The goal is a faster engineering loop while preserving explicit assumptions and reviewable intermediate results.
Parametric workflow
Set geometry, boundary conditions, and intent.
→Build a consistent analytical model.
→Compare behaviour across alternatives.
→Feed engineering judgement back into the model.
Principles
Inputs, boundary conditions, and simplifications should remain visible enough to be challenged.
Parameters should support meaningful engineering questions—not variation for its own sake.
Automation should make comparison and verification easier for the engineer responsible for the decision.
