Seismic energy-based design of BRB frames using multi-objective vibrating particles system optimization

Rezazadeh, F.; Talatahari, Siamak

doi:10.1016/j.istruc.2020.01.006

Cited by 24 publications

(3 citation statements)

References 25 publications

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“…Energy Dissipation: CBFs have inherent energy dissipation capabilities due to the yielding behavior of the braces. During seismic events, the braces undergo plastic deformation, absorbing and dissipating energy 26 . This energy dissipation helps to reduce the peak forces and protect the structure from severe damage.…”

Section: Introductionmentioning

confidence: 99%

Prediction of steel plate-based damper for improving the behavior of concentrically braced frames based on RSM and ML approaches for sustainable structures

Onyelowe,

Yaulema Castañeda,

Adam

et al. 2024

Sci Rep

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The stiffness (K) and slenderness factor (λ) of a steel plate-based damper has been studied on the basis of elastic-inelastic-plastic buckling (EIP) modes and flexural/shear/flexural-shear failure mechanisms (FSF-S), which has been designed for the improvement of the behavior of concentrically braced frames. Steel plate-based dampers offer significant benefits in terms of mode shapes and failure mechanisms, contributing to improved dynamic performance, enhanced structural resilience, and increased safety of civil engineering structures. Their effectiveness in mitigating dynamic loads makes them a valuable tool for engineers designing structures to withstand extreme environmental conditions and seismic events. This study was undertaken by using the learning abilities of the response surface methodology (RSM), artificial neural network (ANN) and the evolutionary polynomial regression (EPR). Steel plate dampers are special structural designs used to withstand the effect of special loading conditions especially seismic effects. Its design based on the prediction of its stiffness (K) and slenderness factor (λ) cannot be overlooked in the present-day artificial intelligence technology. In this research work, thirty-three entries based on the steel plate damper geometrical properties were recorded and deployed for the intelligent forecast of the fundamental properties (λ and K). Design ratios of the steel plate damper properties were considered and models behavior was recorded. From the outcome of the model, it can be observed that even though the EPR and ANN in that order outclassed the other techniques, the RSM produced model minimization and maximization features of the desirability levels, color factor scales and 3D surface observation, which shows the real model behaviors. Overall, the EPR with R2 of 0.999 and 1.000 for the λ and K, respectively showed to be the decisive model but the RSM has features that can be beneficial to the structural design of the studied steel plate damper for a more robust and sustainable construction. With these performances recorded in this exercise, the techniques have shown their potential to be applied in the prediction of steel damper stiffness with optimized characteristic features to withstand structural stresses.

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Section: Introductionmentioning

confidence: 99%

Prediction of steel plate-based damper for improving the behavior of concentrically braced frames based on RSM and ML approaches for sustainable structures

Onyelowe,

Yaulema Castañeda,

Adam

et al. 2024

Sci Rep

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“…In order to protect buildings on soft soil foundation that are not suitable for seismic isolation technology from earthquake damages, it is necessary to install dampers or supports in the structure that can dissipate energy and have the same redundancy as the building [19][20][21]. Buckling restrained brace (BRB) is widely used in the feld of building damping because of its economy and excellent energy dissipation capacity [22].…”

Section: Introductionmentioning

confidence: 99%

Simulation Study of New Buckling Restraint Bracing Based on Bayesian Optimization Algorithm to Identify the Parameters of Modified Bouc–Wen Model

Zhao

Ding

et al. 2023

Advances in Civil Engineering

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The introduction of new materials can significantly improve the performance of existing dampers, but the constitutive model of new materials is difficult to be obtained in a short time, which makes its numerical simulation difficult. Bouc–Wen–Baber–Noori (BWBN) model can well describe the stress-strain relationship of materials, and it is helpful to introduce new materials into numerical simulation. In this paper, a new high manganese steel material is used to fabricate buckling restrained brace, and based on the improved Transition Markov Chain Monte Carlo (iTMCMC) sampling method and Bayesian reasoning, a new parameter identification of BWBN model is completed; model parameters are introduced into OpenSees to complete the response analysis of the new steel damper in the structure. It provides a new method and approach for introducing new materials into structural seismic resistance and proves its reliability.

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“…Many people have suggested the upgrade of the existing building stock in cities before this event rather than repairing post-earthquake damaged structures. However, decisions regarding the existence of seismic rehabilitation and its cost require comprehensive considerations [3]. It involves both engineering and socio-economic analyses as well as prioritization.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Retrofitting Strategies of Low-to-Mid-Rise Reinforced Concrete Structure Based on Its Seismic Fragility

Rahma¹,

Sangadji²,

Virawan³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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In earthquake-prone regions such as Indonesia, this situation has drawn public attention and led to difficulties in implementing certain policies and decision-making. One of the challenging issues in seismic risk reduction is evaluating the efficacy of seismic retrofitting the existing low-to-mid reinforced concrete building. Therefore, this research evaluates the retrofitting of low-tomid-rise reinforced concrete structures to evaluate the efficacy of the retrofitting strategy rationally using Fiber Reinforced Plastic (FRP), Buckling Restrained Braced Frame (BRBF), and shear wall strategies. Rusunawa at Cilacap, a mid-rise RC apartment for lowincome people, was selected as a benchmark building to compare existing and retrofitted seismic fragility. Furthermore, a 3D computer model was developed to predict the seismic response of the structure using a nonlinear static (pushover) analysis. The pushover method produces a capacity curve, showing that the unreinforced structure has a maximum base shear value of 15.2x10 3 kN. While the reinforcement of low to medium rise reinforced concrete structures using the Fiber Reinforced Plastic strategy has a maximum base shear value of 15.3x10 3 kN, then reinforcement using the Buckling Restrained Braced Frame strategy with a maximum base shear value of 16.2x10 3 kN. The shear wall reinforcement has a value maximum base shear of 19.7x103 kN. The capacity curves as the analysis outputs were then converted into the fragility and used to rationalize the probabilistic value of the damage states between existing and retrofitted buildings.

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Seismic energy-based design of BRB frames using multi-objective vibrating particles system optimization

Cited by 24 publications

References 25 publications

Prediction of steel plate-based damper for improving the behavior of concentrically braced frames based on RSM and ML approaches for sustainable structures

Prediction of steel plate-based damper for improving the behavior of concentrically braced frames based on RSM and ML approaches for sustainable structures

Simulation Study of New Buckling Restraint Bracing Based on Bayesian Optimization Algorithm to Identify the Parameters of Modified Bouc–Wen Model

Evaluating Retrofitting Strategies of Low-to-Mid-Rise Reinforced Concrete Structure Based on Its Seismic Fragility

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