Multi-objective optimization of polyester-rope and steel-rope suspended footbridges

Segal, Edward M.; Rhode-Barbarigos, Landolf; Adriaenssens, Sigrid; Coelho, Rajan D Filomeno

doi:10.1016/j.engstruct.2015.05.024

Cited by 12 publications

(5 citation statements)

References 19 publications

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“…The primary structure is an arched truss and represents a rod system. It has an upper chord (1)(2)(3)(4)(5)(16)(17)(18)(19)(20), a lower chord (6-7-8, 21-22-23), a lattice-vertical and diagonal elements (9)(10)(11)(12)(13)(14)(15)(24)(25)(26)(27)(28)(29), support nodes (1,14), strut nodes (7,16) and loading nodes (2)(3)(4)(5)(6)(16)(17)(18)(19)(20). The slender part is a tie member-cable (30).…”

Section: Geometric Physical and Mechanical Characteristics Of A New T...mentioning

confidence: 99%

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Heuristic Optimization of a New Type of Prestressed Arched Truss

et al. 2022

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This paper represents new approaches for calculating, designing, and optimizing prestressed arched trusses with a tie member. Structural systems with long spans, such as trusses, beams, frames, etc., are subjected to a considerable/substantial risk of losing load-carrying capacity because of the different types of loads used. Some traditional design methods define the values of prestressing force in the tie member and internal forces in the truss elements to avoid this load capacity loss. However, the accuracy and limits of the determination of the forces are not necessarily known. The authors offer a new type of prestressed arched truss and some new approaches in the design and calculation process to solve these disadvantages. The study’s main objectives were to design an innovative and new geometric form of prestressed arched truss, which allows the development of high-value prestressing force, to optimize a new truss for reducing self-weight, increasing load-carrying capacity compared to its analogs. The force, stiffness matrix, and simulated annealing methods were used during the study. A new advance to the optimization of prestressed arched truss suggested by the authors reduces the self-weight and improves the load capacity of the truss by 8–17%, depending on the span.

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Section: Geometric Physical and Mechanical Characteristics Of A New T...mentioning

confidence: 99%

“…Segal et al [20] conducted multi-objective optimization of suspended pedestrian bridge structures with steel and polyester rope as tie members. In the literature [13,[21][22][23][24][25][26][27], optimization of concrete post-tensioned box girder bridges, road vaults and buttressed earth-retaining walls are provided.…”

Section: Introductionmentioning

confidence: 99%

Heuristic Optimization of a New Type of Prestressed Arched Truss

et al. 2022

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“…Individuals with higher fitness are selected for the nesting frequency. Consequently, on average, each successive generation's population improves until it meets the stopping criteria specified in the problem definition and therefore the individual with higher fitness in the final generation is selected as the optimum solution [35,36]. When solving multi-objective problems, the objective functions of interest are in competition; as such, they cannot simultaneously attain their high fitness values.…”

Section: Multi-objective Genetic Algorithm (Moga)mentioning

confidence: 99%

Development and Evaluation of Combined Adaptive Neuro-Fuzzy Inference System and Multi-Objective Genetic Algorithm in Energy, Economic and Environmental Life Cycle Assessments of Oilseed Production

2020

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Energy consumption, economics, and environmental impacts of canola production were assessed using a combined technique involving an adaptive neuro-fuzzy inference system (ANFIS) and a multi-objective genetic algorithm (MOGA). Data were collected from canola farming enterprises in the Mazandaran province of Iran and were used to test the application of the combined modeling algorithms. Life cycle assessment (LCA) for one ha functional unit of canola production from cradle to farm gate was conducted in order to evaluate the impacts of energy, materials used, and their environmental emissions. MOGA was applied to maximize the output energy and benefit-cost ratio, and to minimize environmental emissions. The combined ANFIS–MOGA technique resulted in a 6.2% increase in energy output, a 144% rise in the benefit-cost ratio, and a 19.8% reduction in environmental emissions from the current canola production system in the studied region. A comparison of ANFIS–MOGA with the data envelopment analysis approach was also conducted and the results established that the former is a better system than the latter because of its ability to generate optimum conditions that allow for the assessment of a combination of parameters such as energy, economic, and environmental impacts of agricultural production systems.

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“…Furthermore, population-based search produces a broad search of the objective space and thus lowers the chance of being stuck in a local minimum. The current NSGA-II algorithm used in this paper has been applied in different other case studies [31][32][33].…”

Section: The Genetic Optimisation Algorithmmentioning

confidence: 99%

An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm

Koumar¹,

Tysmans²,

Coelho

et al. 2017

Applied Computational Intelligence and Soft Computing

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We developed a fully automated multiobjective optimisation framework using genetic algorithms to generate a range of optimal barrel vault scissor structures. Compared to other optimisation methods, genetic algorithms are more robust and efficient when dealing with multiobjective optimisation problems and provide a better view of the search space while reducing the chance to be stuck in a local minimum. The novelty of this work is the application and validation (using metrics) of genetic algorithms for the shape and size optimisation of scissor structures, which has not been done so far for two objectives. We tested the feasibility and capacity of the methodology by optimising a 6 m span barrel vault to weight and compactness and by obtaining optimal solutions in an efficient way using NSGA-II. This paper presents the framework and the results of the case study. The in-depth analysis of the influence of the optimisation variables on the results yields new insights which can help in making choices with regard to the design variables, the constraints, and the number of individuals and generations in order to obtain efficiently a trade-off of optimal solutions.

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Multi-objective optimization of polyester-rope and steel-rope suspended footbridges

Cited by 12 publications

References 19 publications

Heuristic Optimization of a New Type of Prestressed Arched Truss

Heuristic Optimization of a New Type of Prestressed Arched Truss

Development and Evaluation of Combined Adaptive Neuro-Fuzzy Inference System and Multi-Objective Genetic Algorithm in Energy, Economic and Environmental Life Cycle Assessments of Oilseed Production

An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm

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