Optimum design of steel lattice transmission line towers using simulated annealing and PLS-TOWER

2017-01-15
Tort, Cenk
Sahin, Serkan
Hasançebi, Oğuzhan
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 a typical SA formulation in three weight minimization problems of real-world steel lattice towers for high voltage overhead transmission lines between 110 and 400 kV. The optimized designs and the CPU time required by the two SA variants are reported for each test problem and then compared with the currently available structural configurations resulting from a conventional design process in order to quantify material saving achieved through optimization.
COMPUTERS & STRUCTURES

Suggestions

Optimizing Single-Span Steel Truss Bridges with Simulated Annealing
Hasançebi, Oğuzhan (2010-11-01)
This study presents applications of a simulated annealing integrated solution algorithm to the optimum design of single-span steel truss bridges subjected to gravity loadings. In the optimum design process of a bridge the members are sized simultaneously as the coordinates of the upper chord nodes are determined such that the least design weight is attained for the structure. The design constraints and limitations are imposed in accordance with serviceability and strength provisions of ASD-AISC (Allowable S...
Optimum design of high-rise steel buildings using an evolution strategy integrated parallel algorithm
Hasançebi, Oğuzhan; Kurç, Özgür (null; 2009-12-01)
The present study addresses a parallel solution algorithm for optimum design of large steel space frame structures, in particular high-rise steel buildings. The algorithm implements a novel discrete evolution strategy optimization method to effectively size these systems for minimum weight according to the provisions of ASD-AISC specification and various practical aspects of design process. The multitasking environment in the algorithm rests on a master-slave model based parallelization of the optimization ...
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...
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 ...
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....
Citation Formats
C. Tort, S. Sahin, and O. Hasançebi, “Optimum design of steel lattice transmission line towers using simulated annealing and PLS-TOWER,” COMPUTERS & STRUCTURES, pp. 75–94, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48326.