Seismic design of steel frames using multi-objective optimization

A. Kaveh, I. Shojaei, Y. Gholipour and H. Rahami

Abstract

In this study a multi-objective optimization problem is solved. The objectives used here include simultaneous minimum construction cost in term of sections weight, minimum structural damage using a damage index, and minimum non-structural damage in term of inter-story drift under the applied ground motions. A high-speed and low-error neural network is trained and employed in the process of optimization to estimate the results of non-linear time history analysis. This approach can be utilized for all steel or concrete frame structures. In this study, the optimal design of a planar eccentric braced steel frame is performed with great detail, using the presented multi-objective algorithm with a discrete population and then a moment resisting frame is solved as a supplementary example.

Key Words

seismic design; multi-objective optimization; eccentric braced frame (EBF); moment resisting frame; neural networks; damage index; construction cost

Address

A. Kaveh: Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran I. Shojaei: School of Civil Engineering, College of Engineering, University of Tehran, Iran; Engineering Optimization Research Group, College of Engineering, University of Tehran, Iran Y. Gholipour: Engineering Optimization Research Group, College of Engineering, University of Tehran, Iran H. Rahami: Engineering Optimization Research Group, College of Engineering, University of Tehran, Iran; School of Engineering Science, College of Engineering, University of Tehran, Iran

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