Parameter identification of Bouc-Wen model for MR fluid dampers using adaptive charged system search optimization
In this article, the charged system search (CSS) optimization method is improved to identify
the parameters of a non-linear hysteretic Bouc-Wen differential model. The CSS is suitable …
the parameters of a non-linear hysteretic Bouc-Wen differential model. The CSS is suitable …
Tribe–charged system search for parameter configuration of nonlinear systems with large search domains
In most cases, the standard optimization algorithms are capable of identifying the required
number of parameters for a specific design problem; however, this process is difficult and …
number of parameters for a specific design problem; however, this process is difficult and …
Semi‐active direct control method for seismic alleviation of structures using MR dampers
In the present study, a direct semi‐active control method is introduced to mitigate the seismic
responses of structures equipped with magnetorheological (MR) dampers. Bouc–Wen …
responses of structures equipped with magnetorheological (MR) dampers. Bouc–Wen …
Enriched imperialist competitive algorithm for system identification of magneto-rheological dampers
In the current research, the imperialist competitive algorithm is dramatically enhanced and a
new optimization method dubbed as Enriched Imperialist Competitive Algorithm (EICA) is …
new optimization method dubbed as Enriched Imperialist Competitive Algorithm (EICA) is …
Reliability-based simplification of Bouc-Wen model and parameter identification using a new hybrid algorithm
In this paper, a new hybrid algorithm based on charged system search (CSS) and colliding
bodies optimization (CBO) is proposed to identify the parameters of a highly nonlinear semi …
bodies optimization (CBO) is proposed to identify the parameters of a highly nonlinear semi …
Reliability assessment of semi-active control of structures with MR damper
Structural control systems have uncertainties in their structural parameters and control
devices which by using reliability analysis, uncertainty can be modeled. In this paper …
devices which by using reliability analysis, uncertainty can be modeled. In this paper …
Opposition based charged system search for parameter identification problem in a simplified Bouc-Wen model
In this paper, a new opposition based charged system search (CSS) is proposed to be used
as a parameter identification of highly nonlinear semi-active magneto-rheological damper …
as a parameter identification of highly nonlinear semi-active magneto-rheological damper …
Solving parameter identification of nonlinear problems by artificial bee colony algorithm
A new optimization method based on artificial bee colony (ABC) algorithm is presented for
solving parameter identification problems. The ABC algorithm as a swarm intelligent …
solving parameter identification problems. The ABC algorithm as a swarm intelligent …
A new hybrid optimization algorithm for recognition of hysteretic non-linear systems
In this article, a new two-stage hybrid optimization method based on the Particle Swarm
Optimization and the Big Bang-Big Crunch algorithm (BB-BC) is introduced for identification …
Optimization and the Big Bang-Big Crunch algorithm (BB-BC) is introduced for identification …
Site-Specific Fragility Assessment of an RC Building Equipped with MR Dampers
Earthquakes, as common natural disasters that cause loss of life and property, prompt the
need for minimizing damage and casualties. This is achieved through fragility assessment, a …
need for minimizing damage and casualties. This is achieved through fragility assessment, a …