2017 | OriginalPaper | Buchkapitel
19. Optimal Design of Large-Scale Frame Structures
Abstract
Discrete or continuous size optimization of large-scale, high-rise, or complex structures leads to problems with large number of design variables and large search space and requires the control of a great number of design constraints. Separate design decisions for each variable would be allowed. Thus, the optimizer invoked to process such a sizing problem is given the possibility to really optimize the objective function by detecting the optimum solution within a vast amount of possible design options. The huge number of available design options typically confuses an optimizer and radically decreases the potential of effective search for a high-quality solution. This chapter is based on the recent development on design of large-scale frame structures (Kaveh and Bolandgerami [1]).
