Tuned mass dampers for the drift reduction of structures with soil effects using ant colony optimization

Soheili, Saeed; Zoka, Hooman; Abachizadeh, Mahdi

doi:10.1177/1369433220969023

Cited by 23 publications

(9 citation statements)

References 33 publications

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“…Para efectos de este trabajo, se considera que el tmd corresponde a un bloque de concreto que se conecta mediante aisladores elastoméricos a la estructura principal. Así que Volc es el volumen del bloque de concreto (10) (12) (m 3 ), Volne es el volumen del neopreno (m 3 ), Cc es el costo del concreto por m3, Ca es el costo del acero por kg, y Cne es el costo del neopreno por volumen. No se incluyen otros costos como formaletas para la fundición del concreto.…”

Section: Función Objetivounclassified

“…Para ello, consideraron diferentes funciones objetivo basadas en desplazamientos y aceleraciones de piso. Soheili et al [10] desarrollaron una metodología para la determinación óptima de los parámetros de un tmd que utiliza un algoritmo de colonia de hormigas, una función objetivo basada en la máxima deriva para la reducción y consideraciones de la interacción suelo-estructura.…”

Section: Introductionunclassified

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Optimización del diseño de estructuras conformadas por pórticos de acero resistentes a momentos y amortiguadores de masa sintonizada (TMD)

Ospina

Sánchez

Muñoz

et al. 2021

Cien.Ing.Neogranadina

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Las metodologías convencionales de diseño de estructuras sismo-resistentes se basan en el diseño de resistencia, rigidez y ductilidad de la estructura en el rango inelástico. Recientes avances en el área, buscan generar nuevas metodologías basadas en la disipación de energía del sismo mediante dispositivos externos. Lo anterior con el fin de disminuir los daños que se puedan presentar en los elementos estructurales después de la ocurrencia de un sismo. En este artículo, se propone una metodología para la optimización del diseño de pórticos de acero resistentes a momentos, equipados con amortiguadores de masa sintonizada. El objetivo es disminuir las deformaciones, los daños estructurales, los no estructurales y el costo de la estructura. En el proceso de optimización se utilizó una heurística basada en la teoría de la evolución de una población y denominada algoritmo de evolución diferencial. Se modificó adicionando dos características para mejorar su funcionamiento. En primera instancia, se le generó una autoadaptación de los parámetros de mutación y cruzamiento. Por otra parte, se le dio características multimodales para ayudar al algoritmo a encontrar el óptimo global. Finalmente, utilizando la metodología de optimización en los diversos casos de estudio, se pudo observar que la calidad de la solución y la convergencia del algoritmo eran buenas. Además, se vio una mejoría en la calidad de optimización debido a las características adicionadas de funciones multimodales y parámetros autoadaptativos. Haciendo que el algoritmo tuviera mayor espacio de exploración y explotación.

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Section: Función Objetivounclassified

Section: Introductionunclassified

Optimización del diseño de estructuras conformadas por pórticos de acero resistentes a momentos y amortiguadores de masa sintonizada (TMD)

Ospina

Sánchez

Muñoz

et al. 2021

Cien.Ing.Neogranadina

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“…In recent years, ANNs have obtained extensive attention in SHM because of their extreme pattern recognition capacity (Gordan et al, 2021a). Besides, these days several metaheuristic-based biological algorithms exist, e.g., GA (Daves et al, 2021), ant colony optimization (Soheili et al, 2021), grey wolf optimization (Noshadi et al, 2015), particle swarm optimization (Xue et al, 2013), artificial immune algorithm (Poteralski et al, 2013), artificial bee colony algorithm (Li et al, 2021), and firefly algorithm (Zhou et al, 2014). The GA is one of the most popular representatives of evolutionary algorithms for solving global optimization problems (Miller and Ziemiański, 2020).…”

Section: Introductionmentioning

confidence: 99%

From Cognitive Bias Toward Advanced Computational Intelligence for Smart Infrastructure Monitoring

et al. 2022

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Visual inspections have been typically used in condition assessment of infrastructure. However, they are based on human judgment and their interpretation of data can differ from acquired results. In psychology, this difference is called cognitive bias which directly affects Structural Health Monitoring (SHM)-based decision making. Besides, the confusion between condition state and safety of a bridge is another example of cognitive bias in bridge monitoring. Therefore, integrated computer-based approaches as powerful tools can be significantly applied in SHM systems. This paper explores the relationship between the use of advanced computational intelligence and the development of SHM solutions through conducting an infrastructure monitoring methodology. Artificial Intelligence (AI)-based algorithms, i.e., Artificial Neural Network (ANN), hybrid ANN-based Imperial Competitive Algorithm, and hybrid ANN-based Genetic Algorithm, are developed for damage assessment using a lab-scale composite bridge deck structure. Based on the comparison of the results, the employed evolutionary algorithms could improve the prediction error of the pre-developed network by enhancing the learning procedure of the ANN.

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“…Li and He [16] studied on the optimization of the construction project using an improved ant colony algorithm. Soheili et al [17] used ant colony optimization algorithm to obtain the best settings for tuned mass dampers values on a 40-story building.…”

Section: Introductionmentioning

confidence: 99%

Karınca koloni algoritmasında kullanılan parametrelerin kafes sistem optimizasyonu üzerinden irdelenmesi

YILMAZ¹,

Aydın

2022

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Metaheuristic optimization techniques have been used to solve engineering problems with an increasing speed for the last 30 years. Most of these algorithms have been developed by imitating a process in nature. In this study, the ant colony algorithm inspired by the natural life of ants is discussed. The ant colony algorithm requires some parameters to perform an optimization, as in other meta-heuristic algorithms. The aim of this study is to examine the effect the values of the parameters used in the ant colony algorithm on the results. For this purpose, as an exemplary problem, a study was carried out on the optimization of truss systems, one of the constrained problems frequently discussed in the literature. Appropriate values of optimum design parameters such as number of ants, pheromone update coefficient and penalty coefficient were investigated using the coded computer program. As a result of the study, the effect of the relevant parameters on the result was determined and the points to be considered in the selection of these parameters were specified.

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Tuned mass dampers for the drift reduction of structures with soil effects using ant colony optimization

Cited by 23 publications

References 33 publications

Optimización del diseño de estructuras conformadas por pórticos de acero resistentes a momentos y amortiguadores de masa sintonizada (TMD)

Optimización del diseño de estructuras conformadas por pórticos de acero resistentes a momentos y amortiguadores de masa sintonizada (TMD)

From Cognitive Bias Toward Advanced Computational Intelligence for Smart Infrastructure Monitoring

Karınca koloni algoritmasında kullanılan parametrelerin kafes sistem optimizasyonu üzerinden irdelenmesi

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