2016
DOI: 10.1007/s13296-016-6024-y
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Optimal design of an arch bridge with high performance steel for bridges using genetic algorithm

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Cited by 10 publications
(5 citation statements)
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“…The typical procedure is based on: a starting population of individuals (usually a "preset" configuration defined by experience is used as a starting point); each point is characterized by a set of variables, composing the pool of genes of each individual; objective functions are evaluated for each individual to obtain the fitness; a new generation is defined and includes the best individuals from the previous population and new individuals generated with reproduction, crossover and mutation techniques; objective function are evaluated for each new individual; new generations are defined up to convergence. For the case at hand, following [2] and [3], the workflow consisted in: 1) creation of FEM model based on the starting geometry; 2) random increment of area for each structural element to create a new individual; 3) structural analysis of this new individual from point 2; 4) determination of fitness functions for each individual; 5) use of the genetic algorithm to define the new individuals based on the elitism, mutuation and crossover between different genes; 6) structural analysis of this new individuals from point 5; 7) iteration from point 4 to 6 until the optimal solution is reached. The software chosen for the parametric structural analysis is Grasshopper associated with SAP2000.…”
Section: The Swing Bridges Over the Suez Canalmentioning
confidence: 99%
“…The typical procedure is based on: a starting population of individuals (usually a "preset" configuration defined by experience is used as a starting point); each point is characterized by a set of variables, composing the pool of genes of each individual; objective functions are evaluated for each individual to obtain the fitness; a new generation is defined and includes the best individuals from the previous population and new individuals generated with reproduction, crossover and mutation techniques; objective function are evaluated for each new individual; new generations are defined up to convergence. For the case at hand, following [2] and [3], the workflow consisted in: 1) creation of FEM model based on the starting geometry; 2) random increment of area for each structural element to create a new individual; 3) structural analysis of this new individual from point 2; 4) determination of fitness functions for each individual; 5) use of the genetic algorithm to define the new individuals based on the elitism, mutuation and crossover between different genes; 6) structural analysis of this new individuals from point 5; 7) iteration from point 4 to 6 until the optimal solution is reached. The software chosen for the parametric structural analysis is Grasshopper associated with SAP2000.…”
Section: The Swing Bridges Over the Suez Canalmentioning
confidence: 99%
“…where 0 is allowable normal compressive stress, which will not cause the ultimate limit state to be exceeded. Normal stresses are defined in lower fibres , in accordance with (11)…”
Section: Formulation Of the Optimal Control Problemmentioning
confidence: 99%
“…Examples of the determination of the optimum shape of brick masonry arches under dynamic loads by cellular automata were presented by Kumarci et al [10]. Issues related to the optimal design of a steel arch bridge using a genetic algorithm were presented in [11], where the effectiveness of the optimal design of an arch bridge made of high performance steel was analysed in comparison with a conventional design. The problem concerning the shape optimization of concrete open spandrel arch bridges by the simultaneous perturbation stochastic approximation algorithm was discussed in [12].…”
Section: Introductionmentioning
confidence: 99%
“…Besides numerical techniques or conventional mathematical methods, determining the optimum parameters of a TMD is an optimization problem that can be solved by the application of optimization algorithms as well. The genetic algorithm proposed by Halland in 1992 has been increasingly applied in engineering fields of study [14], particularly in civil engineering problems [15][16][17][18][19]. This algorithm has also been widely used in finding the optimum parameters of TMDs [20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%