Seismic Performance of Steel-Braced Frames with an All-Steel Buckling Restrained Brace

Jamkhaneh, Mehdi Ebadi; Ebrahimi, Amir Homaioon; Amiri, Mohammad

doi:10.1061/(asce)sc.1943-5576.0000381

Cited by 21 publications

(7 citation statements)

References 11 publications

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“…Previously civil structures were designed by conventional codes along with Passive Vibration Control (PVC) system, that is unable to adjust structural characteristics (i.e., mass, stiffness, or damping) dynamically under the environmental loads (i.e., earthquakes and strong winds). [1][2][3][4][5][6][7] However, with the developing trend of high-rise buildings and long-span bridges, the need for smart structures ascends that can adapt towards their changing environment and keep up their serviceability progressively. Through the escalation of Active Vibration Control (AVC) and Semi-active Vibration Control (SVC) systems since 1980, 8,9 the concept of smart structures is acknowledged 10 as an intelligent machine that can change and adapt to its environment dynamically working on a few components: sensors, actuators, signal processors, and power sources.…”

Section: Introductionmentioning

confidence: 99%

Research developments in adaptive intelligent vibration control of smart civil structures

Saeed

Sun

Elias

2021

Journal of Low Frequency Noise, Vibration and Active Control

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Control algorithms are the most critical aspects in the successful control of civil structures subjected to earthquake and wind forces. In recent years, adaptive intelligent control algorithms are emerging as an acceptable substitute method to conventional model-based control algorithms. These algorithms mainly work on the principles of artificial intelligence (AI) and soft computing (SC) methods that make them highly efficient in controlling highly nonlinear, time-varying, and time-delayed complex civil structures. The current research probes to control algorithms, that this article set forth an inclusive state-of-the-art review of adaptive intelligent control (AIC) algorithms for vibration control of smart civil structures. First, a general introduction to adaptive intelligent control is presented along with its advantages over conventional control algorithms. Second, their classification concerning artificial intelligence and soft computing methods is provided that mainly consists of artificial neural network-based controller, brain emotional learning-based intelligent controller, replicator dynamics-based controller, multi-agent system-based controller, support vector machine-based controller, fuzzy logic control, adaptive neuro-fuzzy inference system-based controller, adaptive filters-base controller, and meta-heuristic algorithms-based hybrid controllers. Third, a brief review of these algorithms with their developments on the theory and applications is provided. Fourth, we demonstrate a summarized overview of the cited literature with a brief trend analysis is presented. Finally, this study presents an overview of these innovative AIC methods that can demonstrate future directions. The contribution of this article is the anticipation of detailed and in-depth discussion into the perspective of AI and SC-based AIC method advances that enabled practical applications in attenuating vibration response of smart civil structures. Moreover, the review demonstrates the computing advantages of AIC over conventional controllers that are important in creating the next generation of smart civil structures.

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Section: Introductionmentioning

confidence: 99%

Research developments in adaptive intelligent vibration control of smart civil structures

Saeed

Sun

Elias

2021

Journal of Low Frequency Noise, Vibration and Active Control

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“…Numerous metallic dampers have been developed to improve the hysteretic behavior of CBFs such as ADAS [11][12][13], TADAS [14][15][16][17][18], buckling_restrained brace (BRB) [19][20][21][22][23][24][25][26], ring damper [27][28][29], shear damper [30][31][32][33][34][35][36][37][38][39][40][41][42], J_damper [43], crawler damper [44], and cushion damper [45]. These dampers act as a ductile seismic fuse during an earthquake.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Steel Damper with a Flexural and Shear–Flexural Mechanism to Enhance the CBF System Behavior: An Experimental and Numerical Study

Ghamari

Almasi²,

Kim

et al. 2021

Applied Sciences

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An innovative passive energy damper is introduced and studied experimentally and numerically. This damper is designed as the main plate for energy absorption which is surrounded by an octagon cover. In addition to simplicity in construction, it can be easily replaced after a severe earthquake. Experimental test results, as well as finite element results, indicated that, by connecting the cross-flexural plate to the main plate, the mechanism of the plate was changed from flexural to shear. However, the cross_flexural plate always acts as a flexural mechanism. Changing the shear mechanism to a flexural mechanism, on the other hand, increased the stiffness and strength, while it reduced the ultimate displacement. Comparing the hysteresis curve of specimens revealed that models without cross_flexural plates had less strength and energy_dissipating capability than other models. Adding the flexural plate to the damper without connecting to the main plate improved the behavior of the damper, mainly by improving the ultimate displacement. Connecting the cross plate to the web plate enhanced the ultimate strength and stiffness by 84% and 3.9, respectively, but it reduced the ductility by 2.25. Furthermore, relationships were proposed to predict the behavior of the dampers with high accuracy.

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“…They performed different analyses and concluded that their proposed BRB maintained the structural‐life safety performance level. [ 3 ] Wang et al studied the lateral deformations and damage concentration effect in BRBs due to earthquakes. Their investigation showed that the frames equipped with BRBs as a lateral resisting system have a more serious damage concentration‐effect than the traditional moment‐resisting frame or conventional braced frame.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of 3D special steel buckling‐restrained braced structures

Kaveh

Moghanni

Javadi

2021

Structural Design Tall Build

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Summary In the current study, the optimal design of 3D frames equipped with buckling restrained braces is presented. The objective function in the optimization problem is considered as weight minimization subjected to serviceability and strength requirements. Three different metaheuristic algorithms including Particle Swarm Optimization (PSO) algorithm, Teaching Learning Based Optimization (TLBO) algorithm, and Discrete Firefly Algorithm (DFA) are utalized to solve the optimization problem. Response spectrum analysis is considered to examine the performance of the structures during the optimization process under applied loads. Two real‐size steel structures with buckling restrained braces are selected to perform optimal design. The results demonstrate that the TLBO algorithm has better performance in discrete structural optimization.

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Seismic Performance of Steel-Braced Frames with an All-Steel Buckling Restrained Brace

Cited by 21 publications

References 11 publications

Research developments in adaptive intelligent vibration control of smart civil structures

Research developments in adaptive intelligent vibration control of smart civil structures

An Innovative Steel Damper with a Flexural and Shear–Flexural Mechanism to Enhance the CBF System Behavior: An Experimental and Numerical Study

Optimal design of 3D special steel buckling‐restrained braced structures

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