Harmony Search Algorithm Approach for Optimum Design of Post-Tensioned Axially Symmetric Cylindrical Reinforced Concrete Walls

2014 ◽  
Vol 164 (1) ◽  
pp. 342-358 ◽  
Author(s):  
Gebrail Bekdaş
Keyword(s):  
Reinforced Concrete ◽  
Optimum Design ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Axially Symmetric ◽  
Concrete Walls ◽  
Reinforced Concrete Walls ◽  
Post Tensioned

Optimum Design of Post-Tensioned Axially-Symmetric Cylindrical Reinforced Concrete Walls

2020 ◽  
pp. 195-209
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Superposition Method ◽  
Axially Symmetric ◽  
Structural Concrete ◽  
Design Constraints ◽  
Concrete Walls ◽  
Reinforced Concrete Walls ◽  
Optimization Methodology ◽  
Post Tensioned

In this chapter, an optimization methodology for design of post-tensioned axially symmetric cylindrical reinforced concrete (RC) walls is presented. The objective of optimization is the minimization of total material cost of the wall including concrete, reinforced bars, post-tensioned cables, and form work required for wall and application of the post-tensioning. The optimized values are wall thickness, compressive strength of the concrete, locations and intensities of the post-tensioned loads, the diameter of the reinforcement bars (rebars), and distance between rebars. The optimization process employs the superposition method (SPM) for the analyses of the wall, and the design constraints are defined according to ACI-318: Building code requirements for structural concrete.

Optimum Design of Reinforced Concrete Retaining Walls

2018 ◽  
pp. 360-378
Author(s):  
Rasim Temür ◽  
Gebrail Bekdaş
Keyword(s):  
Reinforced Concrete ◽  
Optimum Design ◽  
Search Algorithm ◽  
Harmony Search ◽  
Minimum Cost ◽  
Retaining Walls ◽  
Slab Thickness ◽  
Construction Costs ◽  
Design Variables ◽  
Cantilever Retaining Walls

Methodologies based on metaheuristic algorithms such as particle swarm optimization, harmony search algorithm, and teaching-learning-based optimization are proposed for optimum design of reinforced concrete cantilever retaining walls. The objective function of optimization is to find a design providing minimum cost, including material and construction costs. For this purpose, the best combination of 11 design variables (heel and toe projections, stem thickness at the top and bottom of a wall, slab thickness and rebar diameters, and spacing between the bars) that satisfy 29 design constraints including stability (overturning, sliding, and bearing) and reinforced concrete design of the wall are searched during the optimization process. The rules of ACI 318 14 (building code requirements for structural concrete) are used for the reinforced concrete design. In order to determine the strengths and weaknesses of algorithms, several different cases are investigated. As conclusions, some suggestions have been obtained that will lead to future work in this field.

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