Projeto Ótimo de Parâmetros de Múltiplos Amortecedores de Massa Sintonizada para Edifícios Altos Utilizando o Algoritmo de Otimização por Enxame de Partículas Multiobjetivo, Considerando os Efeitos da Interação Solo-Estrutura

Autores

  • Reza Sobhanian
  • Jamshid Sabouri Department of Civil Engineering, Tabriz branch, Islamic Azad University, Tabriz, Iran
  • Rouzbeh Dabiri

DOI:

https://doi.org/10.14571/brajets.v17.nse3.216-230

Palavras-chave:

Optimum design, Particle swarm optimization, Tuned mass dampers, Vibration control, Soil-structure interaction, Multiple tuned mass dampers

Resumo

Este estudo foca no controle de vibrações estruturais durante terremotos, utilizando amortecedores de massa sintonizada (TMD) para minimizar as respostas estruturais. A otimização dos parâmetros dos amortecedores é essencial para alcançar este objetivo. A pesquisa explora o uso de múltiplos amortecedores de massa sintonizada (MTMD) em substituição a um único TMD localizado no topo do edifício. O impacto da interação solo-estrutura (SSI) nas respostas sísmicas é considerado, o que requer uma investigação sobre a otimização das características dos amortecedores em diferentes andares. Foram desenvolvidas equações de movimento para estruturas com múltiplos amortecedores e SSI, resolvidas utilizando o método de espaço de estados. Matrizes generalizadas de massa e rigidez para estruturas com MTMD e SSI foram apresentadas. O estudo utilizou o algoritmo de otimização por enxame de partículas multiobjetivo (MOPSO) para determinar os parâmetros ótimos dos amortecedores. Esses parâmetros devem ser definidos de forma a minimizar as respostas sísmicas da estrutura. Por meio da análise de estruturas de referência de 40 andares e 20 andares, a pesquisa destaca a influência significativa da SSI na distribuição e rigidez dos amortecedores dentro das estruturas, enfatizando a importância de considerar os efeitos de interação na otimização dos amortecedores.

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Publicado

2024-10-24

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Novel approaches in education, society and culture development