Optimum design of steel structures via artificial bee colony (abc) algorithm and SAP2000

Download

index.pdf

Date

2014

Author

Eser, Cengiz

Metadata

Show full item record

Item Usage Stats

481
views

332
downloads

Over the past few years, metaheuristic optimization techniques have received considerable attention from engineering researchers. Under metaheuristics, swarm intelligence based algorithms have been used in the solution of various structural optimization problems where the main goal is to minimize the weight of structures while satisfying all design constraints imposed by design codes. In this study, artificial bee colony algorithm (ABC) is utilized to optimize four truss structures from real life and literature. ABC algorithm is one of those popular techniques which has proved to be effective when solving combinatorial and nonlinear optimization problems such as scheduling, routing, financial product design and other problem areas. In this thesis, the results of the ABC algorithm are compared with the results of other optimization algorithms from the literature to investigate the use and efficiency of this technique for solving steel truss design problems. Artificial bee colony algorithm is computerized in VB.NET platform to develop software called ABC-SOP2014. ABC-SOP2014 is capable to interact with well-known structural analysis and design software SAP2000 through the Open Application Programming Interface (OAPI) for size optimum design of steel structures. In this study the program is used only for discrete size optimization of steel truss structures with penalty function implementation aiming minimum weight according to design limitations imposed by AISC-ASD (Allowable Stress Design Code of American Institute of Steel Construction) or limitations specified for the problem without any code requirement. The results reveal that the ABC algorithm can be used effectively as an optimization technique for truss structures, resulting significant savings.

Subject Keywords

Structural optimization., Steel, Structural., Building, İron and steel., Mathematical optimization., Computer algorithms., Heuristic algorithms, Structural engineering.

URI

http://etd.lib.metu.edu.tr/upload/12617083/index.pdf
https://hdl.handle.net/11511/23438

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Optimum design of steel structures via differential evolution algorithm and application programming interface of SAP2000 Dedekargınoğlu, Özgür; Hasançebi, Oğuzhan; Department of Civil Engineering (2012) The objective of this study is to investigate the use and efficiency of Differential Evolution (DE) method on structural optimization. The solution algorithm developed with DE is computerized into software called SOP2011 using VB.NET. SOP2011 is automated to achieve size optimum design of steel structures consisting of 1-D elements such as trusses and frames subjected to design provisions according to ASD-AISC (2010) and LRFD-AISC (2010). SOP2011 works simultaneously with the structural analysis and design ...
Optimum design of composite structures with curved fiber courses Parnas, L; Oral, Süha; Ceyhan, U (2003-05-01) In this study, a new methodology for the optimum design of laminated composites with curved fiber courses is presented. The objective of the optimization problem is to minimize the weight of the composite laminate under stress constraints. The Tsai-Hill criterion is employed on the first ply failure basis. Layer thicknesses and fiber angles are represented by bicubic Bezier surfaces and cubic Bezier curves, respectively. Design variables are coordinates of control points of the corresponding Bezier splines....
Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures Hasançebi, Oğuzhan; Dogan, E.; Erdal, F.; Saka, M. P. (2009-03-01) In recent years a number of metaheuristic search techniques have been widely used in developing structural optimization algorithms. Amongst these techniques are genetic algorithms, simulated annealing, evolution strategies, particle swarm optimizer, tabu search, ant colony optimization and harmony search. The primary goal of this paper is to objectively evaluate the performance of abovementioned seven techniques in optimum design of pin jointed structures. First, a verification of the algorithms used to imp...
Optimum design of steel frames using stochastic search techniques based on natural phenomena: A review Saka, M. P. (2007-09-21) Recent developments in optimization techniques that deal with finding the solution of combinatorial optimization problems has provided steel designers with new capabilities. These new optimization techniques use nature as a source of inspiration to develop new procedures for solving complex engineering problems. Among these, evolutionary algorithms mimic evolutionary biology and make use of the principle of the survival of the fittest to establish a numerical search algorithm. In the immune system algorithm...
Optimum design of steel lattice transmission line towers using simulated annealing and PLS-TOWER Tort, Cenk; Sahin, Serkan; Hasançebi, Oğuzhan (2017-01-15) This paper presents a new optimization tool for automated design of steel lattice transmission line towers in real-world engineering practice. This tool has been developed by integrating the simulated annealing (SA) optimization algorithm into the commercial PLS-TOWER software to optimize steel lattice towers for minimum weight according to ASCE 10-97 design specification using both size and layout design variables. In this context, a novel two-phase SA algorithm is specifically developed and compared with ...

Citation Formats

C. Eser, “Optimum design of steel structures via artificial bee colony (abc) algorithm and SAP2000,” M.S. - Master of Science, Middle East Technical University, 2014.