Theory of Structural Code Optimization

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Abstract
A structural design code works as a mapping of structural data (gross dimensions and layout) into member proportions. A cost of code is defined by assigning a total expected cost functional to the mappings considering all the structures to be designed using the code. Code optimization is formulated as a minimization of this scalar point function (i.e., total expected cost) and is shown to be reducible to a problem in nonlinear programming.

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