Publicado

2021-02-22

Parameter tuning in the process of optimization of reinforced concrete structures

Ajuste de parámetros en el proceso de optimización de estructuras de hormigón armado

DOI:

https://doi.org/10.15446/dyna.v88n216.87169

Palabras clave:

structural optimization, reinforced concrete structures, parameter tuning, static soil-structure interaction, Biogeography-Based Optimization (en)
optimización estructural, estructuras de hormigón armado, ajuste de parámetros, interacción suelo-estructura estática, Optimización Basada en Biogeografía (es)

Autores/as

Parameter tuning deals with finding the best parameter configuration of an optimization method in a given problem. In structural optimization, it could be an extensive and high-computing cost process. One way to avoid this drawback is to use analytical functions (or benchmark functions), for simulating main features of objective functions in real problems. In this paper, Biogeography-Based Optimization is applied during structural optimization of reinforced concrete frame structures, and Ackley function for parameter tuning in real cases simulation. The tuned method outperformed other meta-heuristics in the actual optimization problem. Structural results show that by not including static soil-structure interaction, differences in direct cost of the superstructure of up to 4.42% are obtained for predominantly cohesive soils and 11.55% for predominantly frictional ones. In beams, L/h ratios around 15 and high reinforcement ratios are highly recommended. In columns and shallow foundations, best rectangularity reaches values of 1.15 and 2.00 respectively.

El ajuste de parámetros consiste en encontrar la mejor configuración de los parámetros de un método de optimización ante un determinado problema. En la optimización estructural, este puede ser un proceso muy extenso y costoso. Una forma de evitar este inconveniente es el uso de funciones analíticas (o de referencia) para la simulación de las características principales de los problemas reales. En este estudio se aplica Optimización Basada en Biogeografía en la optimización de estructuras aporticadas de hormigón armado y la función Ackley para el ajuste de parámetros en la simulación de casos reales. El método ajustado mejoró el rendimiento de otras meta-heurísticas. Los resultados estructurales demostraron que al no incluir la interacción suelo-estructura estática se obtienen diferencias significativas en costos directos de la superestructura. Con la resolución del caso de estudio, se brindan algunas recomendaciones de diseño para vigas, columnas y cimentaciones superficiales.

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Cómo citar

IEEE

[1]
I. A. Negrin Diaz, E. L. Chagoyén Méndez, y A. Negrin Montecelo, «Parameter tuning in the process of optimization of reinforced concrete structures», DYNA, vol. 88, n.º 216, pp. 87–95, feb. 2021.

ACM

[1]
Negrin Diaz, I.A., Chagoyén Méndez, E.L. y Negrin Montecelo, A. 2021. Parameter tuning in the process of optimization of reinforced concrete structures. DYNA. 88, 216 (feb. 2021), 87–95. DOI:https://doi.org/10.15446/dyna.v88n216.87169.

ACS

(1)
Negrin Diaz, I. A.; Chagoyén Méndez, E. L.; Negrin Montecelo, A. Parameter tuning in the process of optimization of reinforced concrete structures. DYNA 2021, 88, 87-95.

APA

Negrin Diaz, I. A., Chagoyén Méndez, E. L. & Negrin Montecelo, A. (2021). Parameter tuning in the process of optimization of reinforced concrete structures. DYNA, 88(216), 87–95. https://doi.org/10.15446/dyna.v88n216.87169

ABNT

NEGRIN DIAZ, I. A.; CHAGOYÉN MÉNDEZ, E. L.; NEGRIN MONTECELO, A. Parameter tuning in the process of optimization of reinforced concrete structures. DYNA, [S. l.], v. 88, n. 216, p. 87–95, 2021. DOI: 10.15446/dyna.v88n216.87169. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/87169. Acesso em: 16 mar. 2026.

Chicago

Negrin Diaz, Iván Antonio, Ernesto Luciano Chagoyén Méndez, y Alejandro Negrin Montecelo. 2021. «Parameter tuning in the process of optimization of reinforced concrete structures». DYNA 88 (216):87-95. https://doi.org/10.15446/dyna.v88n216.87169.

Harvard

Negrin Diaz, I. A., Chagoyén Méndez, E. L. y Negrin Montecelo, A. (2021) «Parameter tuning in the process of optimization of reinforced concrete structures», DYNA, 88(216), pp. 87–95. doi: 10.15446/dyna.v88n216.87169.

MLA

Negrin Diaz, I. A., E. L. Chagoyén Méndez, y A. Negrin Montecelo. «Parameter tuning in the process of optimization of reinforced concrete structures». DYNA, vol. 88, n.º 216, febrero de 2021, pp. 87-95, doi:10.15446/dyna.v88n216.87169.

Turabian

Negrin Diaz, Iván Antonio, Ernesto Luciano Chagoyén Méndez, y Alejandro Negrin Montecelo. «Parameter tuning in the process of optimization of reinforced concrete structures». DYNA 88, no. 216 (febrero 22, 2021): 87–95. Accedido marzo 16, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/87169.

Vancouver

1.
Negrin Diaz IA, Chagoyén Méndez EL, Negrin Montecelo A. Parameter tuning in the process of optimization of reinforced concrete structures. DYNA [Internet]. 22 de febrero de 2021 [citado 16 de marzo de 2026];88(216):87-95. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/87169

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CrossRef citations4

1. Iván Negrin, Moacir Kripka, Víctor Yepes. (2023). Metamodel-assisted meta-heuristic design optimization of reinforced concrete frame structures considering soil-structure interaction. Engineering Structures, 293, p.116657. https://doi.org/10.1016/j.engstruct.2023.116657.

2. Yingkai Long, Mingming Du, Xiaoxiao Luo, Siquan Li, Xiping Jiang, Nagamalai Vasimalai. (2022). Improved VMD-+ACO Algorithm Navigation and Positioning Technology for Robot Electric Power Inspection. International Transactions on Electrical Energy Systems, 2022, p.1. https://doi.org/10.1155/2022/5467622.

3. Abhineet Suman, Gunjan, Sandeep S. Udmale. (2026). Metaheuristic algorithms: A benchmark-driven functional taxonomy and performance analysis. Computer Science Review, 60, p.100884. https://doi.org/10.1016/j.cosrev.2025.100884.

4. Iván A. Negrin, Ernesto L. Chagoyén. (2022). Economic and environmental design optimisation of reinforced concrete frame buildings: A comparative study. Structures, 38, p.64. https://doi.org/10.1016/j.istruc.2022.01.090.

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