The paper describes a two-level method for structural optimization for a mi
nimum weight under the local strength and displacement constraints. The met
hod divides the optimization task into separate optimizations of the indivi
dual substructures (in the extreme, the individual components) coordinated
by the assembled structure optimization. The substructure optimizations use
local cross-sections as design variables and satisfy the highly nonlinear
local constraints of strength and buckling. The design variables in the ass
embled structure optimization govern the structure overall shape and handle
the displacement constraints. The assembled structure objective function i
s the objective in each of the above optimizations. The substructure optimi
zations are linked to the assembled structure optimization by the sensitivi
ty derivatives. The method was derived from a previously reported two-level
optimization method for engineering systems, e.g. aerospace vehicles, that
comprise interacting modules to be optimized independently, coordination p
rovided by a system-level optimization. This scheme was adapted to structur
al optimization by treating each substructure as a module in a system, and
using the standard finite element analysis as the system analysis. A numeri
cal example, a hub structure framework, is provided to show the new method
agreement with a standard, no-decomposition optimization. The new method ad
vantage lies primarily in the autonomy of the individual substructure optim
ization that enables concurrency of execution to compress the overall task
elapsed time. The advantage increases with the magnitude of that task.