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Jalal Akbari

Jalal Akbari

Academic rank: Assistant Professor
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Education: PhD.
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Research

Title
Seismic Optimum Design of Steel Structures Using Gradient- Based and Genetic Algorithm Methods
Type
JournalPaper
Keywords
Seismic optimum design  Steel frames  Response spectrum analysis  Sequential quadratic programming (SQP)  Genetic algorithm (GA)
Year
2016
Journal International Journal Of Civil Engineering
DOI
Researchers Jalal Akbari

Abstract

Abstract Optimum design of structures under time-variable loadings is a difficult task. Time-dependent behavior of constraints and cost of gradients calculations could be mentioned when applying time history loadings in the optimization problems. To overcome these difficulties, the response spectra as a seismic demand are used instead of using time history acceleration in the structural modeling. In this paper, the P-Delta effects are considered in the finite-element modeling of the frames. Furthermore, many practical constraints are included in the optimization formulation according to the Iranian national building code (Standard N. 2800). The developed MATLAB-based computer program is utilized for optimization of the low, intermediate- and relatively high-rise braced and un-braced steel frames. The obtained results of sequential quadratic programing (SQP) method are compared with the results of genetic algorithm (GA) technique for guarantying the global optimal designs. Because of the inexpensive costs of SQP method in comparison with genetic algorithm technique, SQP method could be confidently applied for obtaining the global optimum designs of the steel frames.