Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper

The negative stiffness bistable damper (NSBD) was proposed to suppress structural dynamic responses in our previous study. The vibration mitigation performance of the NSBD is influenced by its design parameters, including negative stiffness, cubic stiffness, and damping coefficients. However, it is...

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Main Authors: Liming Fan, Chen Huang, Linsheng Huo
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/14/3/744
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author Liming Fan
Chen Huang
Linsheng Huo
author_facet Liming Fan
Chen Huang
Linsheng Huo
author_sort Liming Fan
collection DOAJ
description The negative stiffness bistable damper (NSBD) was proposed to suppress structural dynamic responses in our previous study. The vibration mitigation performance of the NSBD is influenced by its design parameters, including negative stiffness, cubic stiffness, and damping coefficients. However, it is extremely challenging to directly acquire the ideal design parameters of the NSBD owing to its inherent nonlinearity. To address this disadvantage, the optimal design approach for the NSBD, based on the equivalent linearization method (ELM) and genetic algorithm (GA), is presented in this paper. The nonlinear NSBD system can be transformed to a linear system utilizing the ELM based on the pseudo-excitation method (PEM). The linearization model that corresponds to the nonlinear NSBD is fairly accurate in its approximation and can be indicated from the numerical results. Then, the main structure’s peak response is minimized through the optimization of the design parameters of the NSBD using the H∞ norm and GA. Moreover, the proposed approach’s effectiveness is assessed using the optimal parameters to calculate the displacement responses of a tall building equipped with the NSBD during various seismic excitations. As revealed by the numerical results, the displacement of the tall building can be effectively restrained by the optimized NSBD.
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spelling doaj.art-a550b028a84b487195969794b18314b82024-03-27T13:29:24ZengMDPI AGBuildings2075-53092024-03-0114374410.3390/buildings14030744Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable DamperLiming Fan0Chen Huang1Linsheng Huo2State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, ChinaState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, ChinaState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, ChinaThe negative stiffness bistable damper (NSBD) was proposed to suppress structural dynamic responses in our previous study. The vibration mitigation performance of the NSBD is influenced by its design parameters, including negative stiffness, cubic stiffness, and damping coefficients. However, it is extremely challenging to directly acquire the ideal design parameters of the NSBD owing to its inherent nonlinearity. To address this disadvantage, the optimal design approach for the NSBD, based on the equivalent linearization method (ELM) and genetic algorithm (GA), is presented in this paper. The nonlinear NSBD system can be transformed to a linear system utilizing the ELM based on the pseudo-excitation method (PEM). The linearization model that corresponds to the nonlinear NSBD is fairly accurate in its approximation and can be indicated from the numerical results. Then, the main structure’s peak response is minimized through the optimization of the design parameters of the NSBD using the H∞ norm and GA. Moreover, the proposed approach’s effectiveness is assessed using the optimal parameters to calculate the displacement responses of a tall building equipped with the NSBD during various seismic excitations. As revealed by the numerical results, the displacement of the tall building can be effectively restrained by the optimized NSBD.https://www.mdpi.com/2075-5309/14/3/744equivalent linearizationgenetic algorithmMonte Carlo methodnegative stiffness bistable damper (NSBD)negative stiffnessoptimal design
spellingShingle Liming Fan
Chen Huang
Linsheng Huo
Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper
Buildings
equivalent linearization
genetic algorithm
Monte Carlo method
negative stiffness bistable damper (NSBD)
negative stiffness
optimal design
title Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper
title_full Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper
title_fullStr Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper
title_full_unstemmed Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper
title_short Equivalent Linearization and Parameter Optimization of the Negative Stiffness Bistable Damper
title_sort equivalent linearization and parameter optimization of the negative stiffness bistable damper
topic equivalent linearization
genetic algorithm
Monte Carlo method
negative stiffness bistable damper (NSBD)
negative stiffness
optimal design
url https://www.mdpi.com/2075-5309/14/3/744
work_keys_str_mv AT limingfan equivalentlinearizationandparameteroptimizationofthenegativestiffnessbistabledamper
AT chenhuang equivalentlinearizationandparameteroptimizationofthenegativestiffnessbistabledamper
AT linshenghuo equivalentlinearizationandparameteroptimizationofthenegativestiffnessbistabledamper