Title |
Optimized Design of Tall Steel Building Frameworks Using Sequential Quadratic Programming Method |
Authors |
Shin Su-Mi ; Park Sung-Soo |
Keywords |
SQP ; tall framework ; optimum weight ; lateral drift constraint ; strength constraint |
Abstract |
The objective of this paper is to present formulation solving structural optimization problems for all planar frameworks using SQP(Sequential Quadratic Programming) Method. Key aspects in the code development involved the treatment of lower and upper bounds on the variables and on the solution of the QP subproblems. The importance of cost scaling in conjunction with SQP methods is explained here for the first time. The SQP method has attractions: the starting point can be handled in addition to the inequalities, and the method can be proved to converge under certain assumptions. This paper presents SQP problems for optimal design of steel structural frameworks. The lateral drift is an important factor for the serviceability and may have a harmful influence on the safety in highrise buildings. Engineers would put limitations on the drift according to structural design codes or their experience. Because of the characteristics of the problem, they control it not quantitatively, by a trial-error approach. SQP is developed for discrete optimization of tall steel framework subject to lateral drift constraint. The objective function considered is total weight of the structure. Special features of proposed method include discrete design variables, the standard steel sections provided by AISC manual, and an open format for prescribing constraint. |