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20 May 2026

Why structural design is an optimization problem

Updated 9 August 2026 to remove wording that read as a capability claim ahead of its validation gate. The argument is unchanged.

Ask any structural engineer where their time goes and you'll rarely hear "drawing." The real cost is iteration: propose a set of sections, run the analysis, check the capacities, find the overstressed members, adjust, and repeat. Each loop is hours.

A vast discrete search space

A lateral system is assembled from a catalogue of standard sections. The number of valid combinations is enormous, and most of them either fail the standards or waste steel. Finding the efficient, acceptable corner of that space by hand is slow precisely because the space is so large.

Framing it as optimization

Once you see sizing as a search over a discrete space — with code checks as constraints and material efficiency as the objective — the path forward is clear. This is an optimization problem, and optimization is something we know how to automate.

In the next post we introduce Structural Design, the first thing we are building on this idea. It is a private preview in development — see the engineering-output disclaimer for what that does and does not mean.