Optimization of transmission towers considering the bolt slippage effect

Souza, Rafael Rodrigues de; Miguel, Leandro Fleck Fadel; Kaminski-Jr, João; López, Rosalía Rodríguez; Torii, André Jacomel

doi:10.1016/j.engstruct.2020.110436

Cited by 13 publications

(2 citation statements)

References 17 publications

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“…de Souza et al. (2020) study a flexible approach for the optimization of self-supporting transmission line towers, with this approach, in the present study the connections' slippage is included in the mechanical model.…”

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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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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“…The function to be improved is called objective or cost function, and the preferences are called constraints. Optimization is applied to several engineering, fluid, and structural-design problems 25 , 26 for designing stiff and cost-efficient products. Different models and algorithms are used for this purpose 27 – 29 .…”

Section: Introductionmentioning

confidence: 99%

Multiobjective design optimization of parabolic trough collectors

Kasem

2022

Sci Rep

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Despite the large amount of research conducted on PTC performance analysis, few and rare numbers of research have considered the design optimization of PTCs. In the present work, a novel multiobjective-optimization model is developed for design optimization of PTCs. The objective functions are the thermal and exergetic efficiencies because they are the most important performance indicators (PIs) of PTCs. The design variables are the inlet temperature, and the outlet and inlet diameters of the PTC receiver tube. The PTC material volume (refers to the volume of the PTC receiver and collector) is kept constant throughout the optimization process to enhance the PTC performance without incurring additional cost (material). A parametric analysis is conducted before the optimization. The inlet-mass flow-rate effect is found to be negligible in contrast to the inlet temperature. Therefore, the latter is considered as a design parameter in the optimization process. Nine thermal fluids are used in the present optimization, which include pressurized water, Therminol, molten salt, liquid sodium, Syltherm, air, carbon dioxide, helium and hydrogen. The present optimization model is found to be efficient in maximizing both the thermal and exergetic efficiencies. Water achieves maximum optimal thermal efficiency, whereas helium achieves maximum optimal exergetic efficiency. Liquid sodium exhibits the best PI (60.725).

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