Object-Oriented Optimization Approach Using Genetic Algorithms for Lattice Towers

Sivakumar, P.; Rajaraman, A.; Knight, G. M. Samuel; Ramachandramurthy, D. S.

doi:10.1061/(asce)0887-3801(2004)18:2(162)

Cited by 21 publications

(7 citation statements)

References 11 publications

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“…For just the size problem the resulting weight of 2491kg is comparable to the 2540kg of Sivakumar et al (2004) and the 2474kg of Meesomklin (2001). For the simultaneous optimization approach, the GA's result of 1230kg compares well to those of 1282kg and 1235kg obtained by Tang et al (2005) and Rahami et al (2008) These comparisons indicate that the algorithm selected for this study provides reasonable results.…”

Section: -Bar Trusssupporting

confidence: 62%

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

Muller

Klashorst

2017

Lat. Am. j. solids struct.

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Section: -Bar Trusssupporting

confidence: 62%

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

Muller

Klashorst

2017

Lat. Am. j. solids struct.

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“…In this case the reference solution is represented by a pattern of relative displacement characterised by a constant valueδ j , i.e., the same relative displacements for all storeys. This optimisation problem is addressed by means of heuristic optimisation techniques [40][41][42][43], which are based on the common analysis&redesign procedure [44]. Amongst the members of such a class of algorithms, the genetic algorithm (GA) has been chosen for the aim of this work.…”

Section: Optimum Load Pattern For Seismic Actionmentioning

confidence: 99%

An Optimal Seismic Force Pattern for Uniform Drift Distribution

Montuori¹,

Nastri²,

Tagliafierro³

2019

Buildings

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The force distribution proposed by codes, which in many cases is framed in the equivalent static force procedure, likely leads to design structures with non-uniform drift distribution in terms of inter-storey drift and ductility demands. This can lead to an unbalanced drift demand at certain storeys. This phenomenon may also amass cyclic damage to the dissipative elements at this very storey, therefore increasing the probability of premature failure for low-cycle fatigue. This work proposes a new force design distribution that accounts for higher mode effects and limits the displacement concentration at any storey thus improving the dissipative capacity of the whole structures. The main advantage of the proposed method stands in its formulation, which allows to spare any previous set up with structural analyses. The proposed force distribution has been applied to multi-degree-of-freedom systems to check its effectiveness, and the results have been compared with other proposals. In addition, in order to obtain a further validation of the proposed force distribution, the results obtained by using a genetic algorithm have been evaluated and compared. Additionally, the results provided in this work validate the proposed procedure to develop a more efficient lateral load pattern.

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“…P Sivakumaer et al, performed study on design improvements on lattice towers using GA. Each bay was considered as an object & treated as a member. Being treated as a member reduced the search space needed and enhanced the convergence of the solution [4]. M.P Saka designed a GA for the optimization of steel framed pitched roofs with haunches for the rafters and eves.…”

Section: A Genetic Algorithm In Structural Optimizationmentioning

confidence: 99%

Genetic Algorithm based Design of a Reinforced Concrete Continuous Beam

Alex¹,

Kottalil²

2015

IJERT

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This paper demonstrates an application of the genetic algorithm to the design of reinforced concrete continuous beam. Genetic algorithm is used to find out the depth and width of the beam, the number and diameter of bars and the diameter and spacing of stirrups. A program is created based on genetic algorithm to carry out the design in MATLAB. The loading conditions considered are uniformly distributed load in the full span of the beam. Design constraints for the optimization are considered according to the Indian Standard specifications. The program requires the user to input design parameters like the grade of concrete and steel, the design live loads, uniformly distributed load and the cover required. The algorithm computes the area of concrete and steel at the sections, by minimising the overall cost of materials involved, namely concrete and steel. A trial design of beam is carried out using the program and the results obtained are compared with those obtained by manual calculations for their feasibility. Genetic algorithm based design method gave results satisfying the design code guidelines, but sometimes infeasible results are also obtained due to the random nature of genetic algorithm.

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Object-Oriented Optimization Approach Using Genetic Algorithms for Lattice Towers

Cited by 21 publications

References 11 publications

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

A Quantitative Comparison Between Size, Shape, Topology and Simultaneous Optimization for Truss Structures

An Optimal Seismic Force Pattern for Uniform Drift Distribution

Genetic Algorithm based Design of a Reinforced Concrete Continuous Beam

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