Simultaneous size and geometry optimization of steel trusses under dynamic excitations

Azad, Saeid Kazemzadeh; Bybordiani, Milad; Azad, Sina Kazemzadeh; Jawad, Farqad K. J.

doi:10.1007/s00158-018-2039-7

Cited by 24 publications

(9 citation statements)

References 37 publications

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“…Metaheuristic algorithms are becoming an important part of modern optimization and they provide good solutions to different optimization problems [14][15][16]. In the field of earthquake selection and scaling, metaheuristics can be used to match the mean spectrum and design spectrum.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Ground Motion Record Selection using Multi-objective Optimization Algorithms: A Comparative Study

Kaveh

Moghanni

Javadi

2019

Period. Polytech. Civil Eng.

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Performing time history dynamic analysis using site-specific ground motion records according to the increasing interest in the performance-based earthquake engineering has encouraged studies related to site-specific Ground Motion Record (GMR) selection methods. This study addresses a ground motion record selection approach based on three different multi-objective optimization algorithms including Multi-Objective Particle Swarm Optimization (MOPSO), Non-dominated Sorting Genetic Algorithm II (NSGA-II)and Pareto Envelope-based Selection Algorithm II (PESA-II). The method proposed in this paper selects records efficiently by matching dispersion and mean spectrum of the selected record set and target spectrums in a predefined period. Comparison between the results shows that NSGA II performs better than the other algorithms in the case of GMR selection. Keywordsground motion record selection, multi-objective particle swarm optimization, non-dominated sorting genetic algorithm II, pareto envelope-based selection algorithm II

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Section: Multi-objective Optimizationmentioning

confidence: 99%

Ground Motion Record Selection using Multi-objective Optimization Algorithms: A Comparative Study

Kaveh

Moghanni

Javadi

2019

Period. Polytech. Civil Eng.

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“…Such analysis tools are usually based on an optimization problem in which one wishes to determine a given function's variables, minimizing or maximizing. In structural designs, most of the time, what is sought is to optimize the cost or the total weight of the structure [10].…”

Section: Introductionmentioning

confidence: 99%

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Moraes

Junior²,

Almeida

et al. 2022

Rev. IBRACON Estrut. Mater.

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Among the main contributors to CO2 emissions on the ozone layer, the construction industry contributes with a significant portion. This emission is generated largely by applying concrete construction systems and their variations. Therefore, it is important to use tools that allow the development of projects which mitigate the effects of harmful gas emissions into the atmosphere. Thus, this study applied an optimization algorithm called Firefly Algorithm (FA) to design precast and prestressed rectangular beams focusing on reducing CO2 emissions in the structural design phase. The Objective Function (OF) was defined as the total weight of CO2 emitted in each construction phase (production, transportation, and placement) and the structural design constraints are based on the design criteria established in ABNT NBR 6118. The problem optimization’s variables are geometric properties and mechanical beam's conditions, where the beam height, beam width, the proportion of height generates prestressing eccentricity, and the proportion of prestressing load were considered as design variables. Ten beams were analyzed, with different loadings, where each of these beams was submitted to the optimization process thirty times. For the proposed conditions, the ten beams had an average CO2 emission of 3282.59 kg, maximum and minimum carbon emission of 3630.52 kg and 2910.67 kg, respectively. The study resulted in a feasibility rate higher than 90%, showing that the optimization tool was efficient in the structural design phase focusing on sustainability. Concerning carbon emission, it is possible to verify a relationship between the increase of emission and the load since element with greater inertia tend to emit a greater amount of CO2. It was also possible to determine a regression between carbon emission and beam load.

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“…Layout optimization has been investigated by different researchers using different methods. For example Wu and Chow [1] used GA for discrete variables for sections and continuous variables for nodal coordinates, Hasançebi and Erbatur [2] proposed an improved GA by combining the GA with annealing perturbation and adaptive design space reduction strategies, Kaveh and Khayatazad [3] developed the ray optimization, Kaveh and Laknejadi [4] presented a hybrid evolutionary graph based multi-objective algorithm, Kaveh and Zolghadr [5] suggested the democratic PSO, Kaveh et al [6] presented hybrid PSO and SSO algorithm, Kaveh and Ilchi Ghazaan [7] utilized improved ray optimization, Kaveh and Mahjoubi [8] proposed an improved spiral optimization algorithm for layout optimization of truss structures with frequency constraints, Kazemzadeh Azad et al [9] utilized big bang-big crunch for layout optimization of truss under dynamic excitation, and Kaveh et al [10] suggested a modified dolphin monitoring operator for layout optimization of planar braced frames.…”

Section: Introductionmentioning

confidence: 99%

Size/Layout Optimization of Truss Structures Using Shuffled Shepherd Optimization Method

Kaveh

Zaerreza

2020

Period. Polytech. Civil Eng.

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The main purpose of this paper is to investigate the ability of the recently developed multi-community meta-heuristic optimization algorithm, shuffled shepherd optimization algorithm (SSOA), in layout optimization of truss structures. The SSOA is inspired by mimicking the behavior of shepherd in nature. In this algorithm, agents are first divided into communities which are called herd and then optimization process, inspired by the shepherd's behavior in nature, is operated on each community. The new position of agents is obtained using elitism technique. Then communities are merged for sharing the information. The results of SSOA in layout optimization show that SSOA is competitive with other considered meta-heuristic algorithms.

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Simultaneous size and geometry optimization of steel trusses under dynamic excitations

Cited by 24 publications

References 37 publications

Ground Motion Record Selection using Multi-objective Optimization Algorithms: A Comparative Study

Ground Motion Record Selection using Multi-objective Optimization Algorithms: A Comparative Study

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Size/Layout Optimization of Truss Structures Using Shuffled Shepherd Optimization Method

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