Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Optimum design of steel sway frames to BS5950 using harmony search algorithm
Date
2009-01-01
Author
Saka, M. P.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
228
views
0
downloads
Cite This
Harmony search method based optimum design algorithm is presented for the steel sway frames. The harmony search method is a numerical optimization technique developed recently that imitates the musical performance process which takes place when a musician searches for a better state of harmony. Jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The optimum design algorithm developed imposes the behavioral and performance constraints in accordance with BS5950. The member grouping is allowed so that the same section can be adopted for each group. The combined strength constraints considered for a beam-column take into account the lateral torsional buckling of the member. The algorithm presented selects the appropriate sections for beams and columns of the steel frame from the list of 64 Universal Beam sections and 32 Universal Column sections of the British Code. This selection is carried out so that the design limitations are satisfied and the weight of steel frame is the minimum. The number of design examples considered to demonstrate the efficiency of the algorithm is presented.
Subject Keywords
Optimum Structural Design
,
Combinatorial Optimization
,
Stochastic Search Technique
,
Harmony Search Algorithm
,
Minimum Weight
,
Steel Frame
URI
https://hdl.handle.net/11511/63618
Journal
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
DOI
https://doi.org/10.1016/j.jcsr.2008.02.005
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Optimum topological design of geometrically nonlinear single layer lamella domes using harmony search method
Çarbaş, Serdar; Saka, Mehmet Polat; Department of Engineering Sciences (2008)
Harmony search method based optimum topology design algorithm is presented for single layer lamella domes. The harmony search method is a numerical optimization technique developed recently that imitates the musical performance process which takes place when a musician searches for a better state of harmony. Jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The optimum design algorithm developed imposes the behavioral ...
Optimum design of unbraced steel frames to LRFD-AISC using particle swarm optimization
Dogan, E.; Saka, M. P. (2012-04-01)
Particle Swarm method based optimum design algorithm for unbraced steel frames is presented. The Particle Swarm method is a numerical optimization technique that simulates the social behavior of birds, fishes and bugs. In nature fish school, birds flock and bugs swarm not only for reproduction but for other reasons such as finding food and escaping predators. Similar to birds seek to find food, the optimum design process seeks to find the optimum solution. In the particle swarm optimization each particle in...
Evaluation of Recent Improvements in Harmony Search based Structural Optimization Algorithms
Saka, M. P.; AYDOĞDU, İBRAHİM; Hasacebi, O. (2010-09-17)
Music-inspired harmony search algorithm is a recently developed metaheuristic technique. It has been extensively used in the development of structural optimization algorithms. Several enhancements are suggested to standard harmony search method. In this paper, firstly these improvements are summarized and later they are used to determine the optimum design of three dimensional steel frames. The design constraints are implemented according to LRFD-AISC (Load and Resistance Factor Design-American Institute of...
Harmony search algorithms in structural engineering
Saka, M.P.; Aydogdu, I.; Hasançebi, Oğuzhan; Geem, Z.W. (2011-08-08)
Harmony search method is widely applied in structural design optimization since its emergence. These applications have shown that harmony search algorithm is robust, effective and reliable optimization method. Within recent years several enhancements are suggested to improve the performance of the algorithm. Among these Mandavi has presented two versions of harmony search methods. He named these as improved harmony search method and global best harmony search method. Saka and Hasancebi (2009) have suggested...
Optimum Design of Concrete Cantilever Retaining Walls using the Harmony Search Algorithm
Akin, A.; Saka, M. P. (2010-09-17)
Optimum cost design of reinforced concrete cantilever retaining walls with harmony search algorithm is presented in this paper. The reinforced concrete cantilever retaining wall is the most common type among the retaining wall structures. In the formulation of the optimum design problem the height and thickness of stem, length of toe projection and the thickness of stem at base level, the length and thickness of base, the depth and thickness of key and the distance from toe to the key are treated as design ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. P. Saka, “Optimum design of steel sway frames to BS5950 using harmony search algorithm,”
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
, pp. 36–43, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63618.