Size and Shape Optimization of Truss Structures with Natural Frequency Constraints Using Modified Simulated Annealing Algorithm

Millan-Paramo, Carlos; Filho, João Elias Abdalla

doi:10.1007/s13369-019-04138-5

Cited by 23 publications

(11 citation statements)

References 32 publications

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“…Millan-Paramo and Abdalla Filho [32,33] Modified simulated annealing algorithm (MSAA) and improved modified simulated annealing algorithm (IMSAA) Kaveh and Mahjoubi [34] Hypotrochoid spiral optimization algorithm (HSPO)…”

Section: Author Metaheuristicmentioning

confidence: 99%

Truss Optimization with Natural Frequency Constraints Using Modified Social Engineering Optimizer

Millan-Paramo¹,

Millán-Romero²,

Wilches³

2020

International Journal of Engineering Research and Technology

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Section: Author Metaheuristicmentioning

confidence: 99%

Truss Optimization with Natural Frequency Constraints Using Modified Social Engineering Optimizer

Millan-Paramo¹,

Millán-Romero²,

Wilches³

2020

International Journal of Engineering Research and Technology

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“…Millan-Paramo and Abdalla Filho (2020) proposed a metaheuristic optimization method named the modified simulated annealing algorithm. Six benchmark truss optimization problems with frequency constraints are explored for the validity of the present algorithm.…”

Section: Introductionmentioning

confidence: 99%

Optimization of reinforced concrete columns with variable circular cross-section hollowed using the criterion of instability and mechanical strength

Mattias

Araujo

2023

MMMS

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PurposeThis study aims to optimize the structural design of reinforced concrete columns with variable hollow circular sections.Design/methodology/approachThe columns were optimized according to the criteria of instability (buckling) and mechanical strength (compression and/or tensile strength). To perform the optimizations, routines are developed in Python using the penalty and sequential linearization programming (SLP) function methods to optimize the elements satisfying the buckling and stress criteria.FindingsAt the end of the optimization process, the optimal section is obtained for the example of a circular column with a variable section, this section has an average radius of 5% smaller than that initially defined.Originality/valueThe theoretical basis for column optimization and the structuring of an algorithm in Python language for the computational resolution of these problems are presented in a didactic way, as well as the comparative efficiency of the methods.

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“…Truss structures are one of the most important structures in civil engineering and have been widely used in different applications such as bridges, transmission towers, outriggers, roofs, etc. Over the decades, designing truss structures to satisfy both safety and economic requirements has received much attention and several studies have addressed this issue [1][2][3][4][5][6][7][8][9][10]. These studies have imposed limitations on nodal displacements and axial stress of the members as a safety criterion as well as limitation on truss weight as an economic criterion.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based multi-objective optimal design of spatial trusses using NSGA-II

Semiromi

Keyhani

2022

NMCE

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This paper addresses a reliability-based multi-objective design method for spatial truss structures. The uncertainties of the applied load and the resistance of the truss members have been taken into account by generating a set of 50 random numbers. The failure probability of each truss member has been evaluated and consequently, the failure probability of the entire truss system has been calculated considering a series system. A multi-objective optimization problem has been defined with objective functions of truss weight and failure probability of the entire truss structure. The cross-sectional area of the truss members has been considered as the design variable. Also ,The limitations of nodal displacements and allowable stress of the members have been defined as constraints. A 25-bar benchmark spatial truss has been considered as the case study structure and has been optimally designed using the non-dominated sorting genetic algorithm II (NSGA-II). The results show thr effectiveness and simplicity of the proposed method which can provide a wide range of optimal solutions through Pareto fronts. These optimal solutions can provide both safety and reliability for the truss structure. Also, the results indicate that the failure probability of the truss structure reduces by increasing the uncertainty level of load and resistance. D

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Size and Shape Optimization of Truss Structures with Natural Frequency Constraints Using Modified Simulated Annealing Algorithm

Cited by 23 publications

References 32 publications

Truss Optimization with Natural Frequency Constraints Using Modified Social Engineering Optimizer

Truss Optimization with Natural Frequency Constraints Using Modified Social Engineering Optimizer

Optimization of reinforced concrete columns with variable circular cross-section hollowed using the criterion of instability and mechanical strength

Reliability-based multi-objective optimal design of spatial trusses using NSGA-II

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