Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Design Optimization of Reinforced Concrete Beams

Design Optimization of Reinforced Concrete Beams This work presents a typical optimization technique i.e. Particle Swarm Optimization (PSO) to achieve optimal design of Reinforced Concrete (RC) beams. Optimal cross-sectional sizing of an RC beam results in cost saving, but it (optimal sizing) cannot be standardized for the various factors that influence a given design. An algorithm has been developed to search for a minimum cost solution that satisfies Indian codal requirements for RC beams. The objective function consists of the cost of concrete and rebars as prevalent at the place of construction. Successful implementation of the algorithm clearly establishes PSO’s ability of performance in the case of RC beams. A number of examples have been presented to show the effectiveness of this formulation for achieving optimal design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of The Institution of Engineers (India): Series A Springer Journals

Design Optimization of Reinforced Concrete Beams

Download PDF
7 pages

Loading next page...
 
/lp/springer-journals/design-optimization-of-reinforced-concrete-beams-p1NHt9fH4T
Publisher
Springer Journals
Copyright
Copyright © 2017 by The Institution of Engineers (India)
Subject
Engineering; Civil Engineering
ISSN
2250-2149
eISSN
2250-2157
DOI
10.1007/s40030-017-0232-0
Publisher site
See Article on Publisher Site

Abstract

This work presents a typical optimization technique i.e. Particle Swarm Optimization (PSO) to achieve optimal design of Reinforced Concrete (RC) beams. Optimal cross-sectional sizing of an RC beam results in cost saving, but it (optimal sizing) cannot be standardized for the various factors that influence a given design. An algorithm has been developed to search for a minimum cost solution that satisfies Indian codal requirements for RC beams. The objective function consists of the cost of concrete and rebars as prevalent at the place of construction. Successful implementation of the algorithm clearly establishes PSO’s ability of performance in the case of RC beams. A number of examples have been presented to show the effectiveness of this formulation for achieving optimal design.

Journal

Journal of The Institution of Engineers (India): Series A – Springer Journals

Published: Oct 26, 2017

References

  • Geometric design optimization for dynamic response problem of continuous reinforced concrete beams
    Sharafi, P; Hadi, MNS; Teh, LH
  • A simple genetic algorithm for the design of reinforced concrete beams
    Coello, CA; Christiansen, AD; Santos, F
  • Optimum design of reinforced continuous beams by genetic algorithms
    Govindaraj, V; Ramasamy, JV
  • Optimum cost of prestressed and reinforced concrete beams using genetic algorithms
    Alqedra, M; Arafa, M; Ismail, M
  • Genetically optimized artificial neural networks based optimum design of singly and doubly reinforced concrete beams
    Saini, B; Sehgal, VK; Gambhir, ML
  • Sensitivity of the optimum design of reinforced concrete flat slab buildings to the unit cost components and characteristics material strengths
    Sahab, MG
  • Flexural design of reinforced concrete frames using a genetic algorithms
    Camp, CV; Pezeshk, S; Hansson, H
  • Design an integrated genetic algorithm complemented with direct search for optimum design of RC frames
    Kwak, H; Kim, J
  • Flexural design of reinforced concrete frames by genetic algorithm
    Lee, C; Ahn, J
  • Optimum detailed design of reinforced concrete frames using genetic algorithms
    Govindaraj, V; Ramasamy, JV
  • Genetic algorithm—based methodology for design optimization of reinforced concrete frames
    Rajeev, S; Krishnamoorthy, CS
  • Layout optimization of truss structures by hybridizing cellular automata and particle swarm optimization
    Gholizadeh, S
  • Optimal design of truss structures using particle swarm optimization
    Luh, GC; Lin, CY
  • Optimum design of unbraced steel frames to LRFD–AISC using particle swarm optimization
    Dogan, E; Saka, MP
  • Minimum cost design of slabs using particle swarm optimization with time varying acceleration coefficients
    Nedushan, BA; Varaee, H
  • Economic design of retaining wall using particle swarm optimization with passive congregation
    Khajehzadeh, M; Taha, MR; El-Shafie, A; Eslami, M
  • Design optimization of RC frames under earthquake loads
    Gharehbaghi, S; Fadaee, MJ
  • The particle swarm optimization algorithm: convergence analysis and parameter selection
    Trelea, IC
  • Particle swarm optimization: basic concepts, variants and applications in power systems
    Valle, YD; Venayagamoorthy, GK; Mohagheghi, S; Hernandez, JC; Harley, RG
  • A combination of particle swarm optimization and multi-criterion decision-making for optimum design of reinforced concrete frames
    Esfandiary, MJ; Sheikholarefin, S; Bondarabadi, HAR
  • Limit State Design of Reinforced Concrete
    Vergese, PC