OPTIMIZATION OF STEEL MOMENT FRAME USING HARMONY SEARCH ALGORITHM

Abstract

Design optimization of structures has become an important method to study and develop these days. Due to the fact that the world's population is increasing, and the worlds' resources are decreasing. An optimum design algorithm is a useful tool that can help to minimize the weight of a structure. Over the last four decades, several number of algorithms have been developed to solve engineering optimization problems, for example, metaheuristic algorithms. An example of metaheuristic algorithms is the Harmony Search algorithm (HS). HS algorithms make use of the analogy between the performance process of natural music and searching for solutions to optimization problems. In this research, the HS was applied on the College of Engineering Building at Temple University Main Campus in Philadelphia, PA. The HS algorithm searches for minimum cross-sectional areas that leads to find optimal steel sizes considering design constrains such as: stress, deflection, and lateral displacement limitations. The HS algorithm obtained lighter weight of steel frames by selecting a suitable steel section from the American Institute of Steel Construction (AISC) and by following the specification of Allowable Stress Design method (ASD). The results show that HS yielded lighter steel moment frames with approximately 20% weight reduction. Keywords: Harmony Search Algorithm, Steel Moment Frame, Optimization.