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Utilization of Harmony Search Algorithm in Optimal Structural Design of Cold-Formed Steel Structures

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Book cover Harmony Search Algorithm (ICHSA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 514))

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Abstract

The most important concern for structural design engineers is, nowadays, how to design and build a structure which is really sustainable. The course to design and construct of buildings has to be urgently changed if the overall carbon dioxide emission would like to be reduced. Otherwise, the increase in global warming arising out of building construction will continue in a great majority. The application of cold-formed steel skeleton frames increasingly in building trade makes possible sustainable structures. In this study a harmony search algorithm (HSA) and an improved version, called as adaptive harmony search (AHSA) algorithm to obtain optimum design of cold-formed steel frames. These algorithms choose the cold-formed thin-walled C-sections treated as design variables from a list in AISI-LRFD (American Iron and Steel Institution, Load and Resistance Factor Design). This selection minimize the weight of the cold-formed steel frame while the design constraints specified by the code are satisfied.

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Author information

Authors and Affiliations

  1. Civil Engineering Department, Karamanoglu Mehmetbey University, Karaman, Turkey

    Serdar Carbas

  2. Civil Engineering Department, Akdeniz University, Antalya, Turkey

    Ibrahim Aydogdu

Authors
  1. Serdar Carbas
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  2. Ibrahim Aydogdu
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Corresponding author

Correspondence to Serdar Carbas .

Editor information

Editors and Affiliations

  1. TECNALIA, University of the Basque Country ‎(UPV/EHU), Basque Center for Applied Mathematics (BCAM‎), Bilbao, Spain

    Javier Del Ser

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Carbas, S., Aydogdu, I. (2017). Utilization of Harmony Search Algorithm in Optimal Structural Design of Cold-Formed Steel Structures. In: Del Ser, J. (eds) Harmony Search Algorithm. ICHSA 2017. Advances in Intelligent Systems and Computing, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-10-3728-3_24

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  • DOI: https://doi.org/10.1007/978-981-10-3728-3_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3727-6

  • Online ISBN: 978-981-10-3728-3

  • eBook Packages: EngineeringEngineering (R0)

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