Computational design is how ambitious geometry becomes buildable, how complex facades become fabrication-ready, and how design teams move from drawing one option to evaluating thousands. This category covers the discipline end to end: the algorithmic thinking and toolchain that powers it (Grasshopper, Dynamo, Rhino.Inside.Revit, Python and C# scripting), and the high-stakes applications where it earns its keep. We cover facade rationalisation that turns doubly-curved skins into manufacturable panel systems with controlled cost. We cover Design for Manufacture and Assembly that makes the unbuildable buildable, with kit-of-parts logic, repetition maximisation, and contractor-specific automation. We cover multi-objective parametric optimisation that balances structural efficiency, cost, constructability, and architectural intent on a Pareto front rather than collapsing the problem into a single answer. And we cover the new front line: computational approaches to embodied carbon and material optimisation, where the sustainability case is increasingly the commercial case. Whether you are an architect exploring complex form, an engineer rationalising a freeform structure, or a contractor automating fabrication output, the patterns here apply across building, infrastructure, and product scales.
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