2017
DOI: 10.1016/j.soildyn.2016.10.019
|View full text |Cite
|
Sign up to set email alerts
|

Metaheuristic based optimization of tuned mass dampers under earthquake excitation by considering soil-structure interaction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
41
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 94 publications
(42 citation statements)
references
References 42 publications
1
41
0
Order By: Relevance
“…PSO algorithm is known as a good global optimizer [42], therefore this method is followed in this paper. Other optimization methods such as metaheuristic methods [43] are not studied in this paper. Afterwards, the efficiency of the designed TMDs is evaluated over a wide range of wind excitation frequencies and especially around the resonance conditions.…”
Section: Introductionmentioning
confidence: 99%
“…PSO algorithm is known as a good global optimizer [42], therefore this method is followed in this paper. Other optimization methods such as metaheuristic methods [43] are not studied in this paper. Afterwards, the efficiency of the designed TMDs is evaluated over a wide range of wind excitation frequencies and especially around the resonance conditions.…”
Section: Introductionmentioning
confidence: 99%
“…By using population‐based algorithm called particle swarm optimization, Leung and Zhang provided closed‐form TMD tuning formulations. The music inspired metaheuristic algorithm called harmony search (HS) employed in many TMD optimization stories to investigate optimum values in time domain, mass ratio factor, preventing brittle fracture, preventing pounding of adjacent structures, optimum values in frequency domain, optimum values considering soil‐structure interaction (SSI), and optimum TMD design for high‐rise intake towers . Keshtegar and Etedali proposed an adaptive dynamic HS algorithm for TMD optimization using a nonlinear mathematical model.…”
Section: Introductionmentioning
confidence: 99%
“…By considering soil‐structure interaction, optimum TMD tuning methods have been developed by employing ant colony optimization, artificial bee colony, and shuffled complex evaluation . The other nature‐inspired metaheuristic algorithms employed for TMD tuning are bat algorithm and flower pollination algorithm (FPA)…”
Section: Introductionmentioning
confidence: 99%
“…Also, the TMD parameters appear to be at least slightly dependent on the characteristics of the applied dynamic loading [7,23,41,42]. This issue motivated different investigations based, inter alia, on the modelling of real excitation cases, such as for random [43], wind [3,27] or seismic [2,8,11,12,[24][25][26]44] actions.…”
Section: Introductionmentioning
confidence: 99%