Design of Tuned Mass Dampers via Harmony Search for Different Optimization Objectives of Structures

2015 ◽  
pp. 249-266
Author(s):  
Sinan Melih Nigdeli ◽  
Gebrail Bekdaş
Keyword(s):  
Harmony Search ◽  
Tuned Mass Dampers

Discussion of paper: “Estimating optimum parameters of tuned mass dampers using harmony search” [Eng. Struct. 33 (9) (2011) 2716–2723]

2013 ◽  
Vol 54 ◽  
pp. 262-264 ◽  
Author(s):  
Leandro Fleck Fadel Miguel ◽  
Rafael Holdorf Lopez ◽  
Letícia Fleck Fadel Miguel
Keyword(s):  
Harmony Search ◽  
Tuned Mass Dampers ◽  
Optimum Parameters

scholarly journals Optimum Design of PID Controlled Active Tuned Mass Damper via Modified Harmony Search

2020 ◽  
Vol 10 (8) ◽  
pp. 2976 ◽  
Author(s):  
Aylin Ece Kayabekir ◽  
Gebrail Bekdaş ◽  
Sinan Melih Nigdeli ◽  
Zong Woo Geem
Keyword(s):  
Block Diagram ◽  
Harmony Search ◽  
Pid Controllers ◽  
Tuned Mass Dampers ◽  
Maximum Displacement ◽  
Capacity Limit ◽  
Design Variables ◽  
Mass Damper ◽  
Stiffness And Damping Coefficient ◽  
Stiffness And Damping

In this study, the music-inspired Harmony Search (HS) algorithm is modified for the optimization of active tuned mass dampers (ATMDs). The modification of HS includes the consideration of the best solution with a defined probability and updating of algorithm parameters such as harmony memory, considering rate and pitch adjusting rate. The design variables include all the mechanical properties of ATMD, such as the mass, stiffness and damping coefficient, and the active controller parameters of the proposed proportional–integral–derivative (PID) type controllers. In the optimization process, the analysis of an ATMD implemented structure is done using the generated Matlab Simulink block diagram. The PID controllers were optimized for velocity feedback control, and the objective of the optimization is the minimization of the top story displacement by using the limitation of the stroke capacity of ATMD. The optimum results are presented for different cases of the stroke capacity limit of ATMD. According to the results, the method is effective in reducing the maximum displacement of the structure by 53.71%, while a passive TMD can only reduce it by 31.22%.

scholarly journals OPTIMUM DESIGN OF TUNED MASS DAMPERS FOR REAL-SIZE STRUCTURES VIA ADAPTIVE HARMONY SEARCH ALGORITHM

2021 ◽  
Author(s):  
Aylin Ece Kayabekir ◽  
Sinan Melih Nigdeli ◽  
Gebrail Bekdaş ◽  
Melda Yücel
Keyword(s):  
Optimum Design ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Tuned Mass Dampers ◽  
Real Size

Estimating optimum parameters of tuned mass dampers using harmony search

2011 ◽  
Vol 33 (9) ◽  
pp. 2716-2723 ◽  
Author(s):  
Gebrail Bekdaş ◽  
Sinan Melih Nigdeli
Keyword(s):  
Harmony Search ◽  
Tuned Mass Dampers ◽  
Optimum Parameters

An Optimum Tuning Application of Mass Dampers Considering Soil-Structure Interaction

2018 ◽  
pp. 44-73
Author(s):  
Gebrail Bekdaş ◽  
Sinan Melih Nigdeli
Keyword(s):  
Optimum Design ◽  
Soil Structure ◽  
Damping Ratio ◽  
Harmony Search ◽  
Soil Structure Interaction ◽  
Tuned Mass Dampers ◽  
Maximum Displacement ◽  
Structure Interaction ◽  
High Rise ◽  
Design Variables

In order to obtain a significant reduction for seismic responses of structures using tuned mass dampers (TMDs), optimization is a mandatory process. A music-inspired metaheuristic algorithm called harmony search is employed in the proposed method for optimum design of TMDs implemented on structures considering soil-structure interaction (SSI). The present approach considers time domain analyses conducted for several earthquake excitations. The optimum design variables, such as mass, period, and damping ratio of TMD are searched for an optimization objective (the maximum displacement of structure) and a design constraint (the maximum scaled stroke capacity of TMD). The proposed method was investigated with a 40-storey high-rise structure for different soil characteristics and the optimum results were compared with a previously developed metaheuristic approach. Results show that the proposed method is feasible and more effective than the compared method.

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