Enhancement of seismic resilience of piping systems in nuclear power plants using steel coil damper

Cho, Sung Gook; Furuya, Osamu; Kurabayashi, Hiroshi

doi:10.1016/j.nucengdes.2019.05.006

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…where G is the shear modulus, d is the wire diameter, N e is the number of effective windings, and D is the diameter of the spring [3].…”

Section: Mechanical Behavior Of Coil Springmentioning

confidence: 99%

“…where 𝐺 is the shear modulus, 𝑑 is the wire diameter, 𝑁 is the number of effective windings, and 𝐷 is the diameter of the spring [3]. The SCD is deformed in a nonlinear way beyond the elastic range with 𝑘 of stiffness, as shown in Figure 2.…”

Section: Mechanical Behavior Of Coil Springmentioning

confidence: 99%

“…Such dampers can be classified into elasto-plastic dampers, viscous dampers, mass dampers, and friction dampers. Elasto-plastic dampers work by absorbing energy generated by the hysteretic deformation of a metal material, such as a steel bar, but the fatigue characteristics of repeated loading should be considered [3]. Viscous dampers are not highly affected by stiffness, so they can control from small to large vibrations.…”

Section: Introductionmentioning

confidence: 99%

“…Since the entire body of the SCD can be used for energy dissipation, the damping ratio is high, while the stress concentration is reduced, and the fatigue performance is also excellent. In addition, the SCD can be successfully applied to vibration control and isolated vibration devices [3].…”

Section: Introductionmentioning

confidence: 99%

“…The SCD can reduce the vibration of the structure by producing the hysteretic damping by the nonlinear behavior with the material properties. Recently, the SCD has begun research to apply as a snubber to reduce vibration in the piping system of nuclear power plants [3]. To effectively reduce the vibration of the structure, the hysteretic behavior of the SCD should be accurately investigated.…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent Process to Estimate the Nonlinear Behaviors of an Elasto-Plastic Steel Coil Damper Using Artificial Neural Networks

Chang

Cho²

2021

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This study developed a nonlinear behavior prediction model for elasto-plastic steel coil dampers (SCDs) using artificial neural networks (ANN). To train the ANN, first, the input and output data of the behavior of the elasto-plastic SCD was prepared. This study utilized the design parameters and load–displacement curves of the SCD to train the ANN. The elasto-plastic load–displacement curve of the SCD was obtained from simulation results using an ANSYS workbench. The design parameters (wire diameter, internal diameter, number of active windings, yield strength) of the SCD were defined as the input patterns, while the yield deformation, first stiffness, and second stiffness were output patterns. During learning of the neural network model, 60 datasets of the SCD were used as the learning pattern, and the remaining 21 were used to verify the model. Although this study used a small number of learning patterns, the ANN predicted accurate results for yield displacement, first stiffness, and second stiffness. In this study, the ANN was found to perform very well, predicting the nonlinear response of the SCD, compared with the values obtained from a finite element analysis program.

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“…where G is the shear modulus, d is the wire diameter, N e is the number of effective windings, and D is the diameter of the spring [3].…”

Section: Mechanical Behavior Of Coil Springmentioning

confidence: 99%

Section: Mechanical Behavior Of Coil Springmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Intelligent Process to Estimate the Nonlinear Behaviors of an Elasto-Plastic Steel Coil Damper Using Artificial Neural Networks

Chang

Cho²

2021

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Proactive Maintenance Strategy Based on Resilience Empowerment for Complex Buildings

Rota

Talamo

Paganin

2020

New Metropolitan Perspectives

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Resilience of the built environment, particularly in complex buildings, is strictly related to the effectiveness of systems and sub-systems that provide the expected features to manage risk scenarios in routine and nonroutine conditions. In this perspective, maintenance is therefore a key factor to assure building resilience by keeping systems and equipment in the required operational state. Risk management can be empowered if system resilience and disruptive events are monitored in real-time, and, to this aim, proactive maintenance can nowadays monitor systems resilience with innovative digital tools.More specifically, proactive maintenance, through Industry 4.0 (I4.0) tools, can enact control strategies for mitigating both endogenous riskssuch as equipment failure, aging and obsolesce not always deeply investigated in building sectorand exogenous risks.Anticipation of disruptive events of systems and control of endogenous risks is possible thanks the introduction of IoT and machine learning tools which may allow to modify the traditional corrective maintenance in the direction of a proactive maintenance approach.Aim of this paper is to highlight how proactive maintenance approach, if fully implemented, and supported by I4.0 tools, can empower resilience of systems in the building sector.

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Vibration control of fluid-conveying pipes: a state-of-the-art review

Ding,

2023

Appl. Math. Mech.-Engl. Ed.

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Fluid-conveying pipes are widely used to transfer bulk fluids from one point to another in many engineering applications. They are subject to various excitations from the conveying fluids, the supporting structures, and the working environment, and thus are prone to vibrations such as flow-induced vibrations and acoustic-induced vibrations. Vibrations can generate variable dynamic stress and large deformation on fluid-conveying pipes, leading to vibration-induced fatigue and damage on the pipes, or even leading to failure of the entire piping system and catastrophic accidents. Therefore, the vibration control of fluid-conveying pipes is essential to ensure the integrity and safety of pipeline systems, and has attracted considerable attention from both researchers and engineers. The present paper aims to provide an extensive review of the state-of-the-art research on the vibration control of fluid-conveying pipes. The vibration analysis of fluid-conveying pipes is briefly discussed to show some key issues involved in the vibration analysis. Then, the research progress on the vibration control of fluid-conveying pipes is reviewed from four aspects in terms of passive control, active vibration control, semi-active vibration control, and structural optimization design for vibration reduction. Furthermore, the main results of existing research on the vibration control of fluid-conveying pipes are summarized, and future promising research directions are recommended to address the current research gaps. This paper contributes to the understanding of vibration control of fluid-conveying pipes, and will help the research work on the vibration control of fluid-conveying pipes attract more attention.

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Enhancement of seismic resilience of piping systems in nuclear power plants using steel coil damper

Cited by 8 publications

References 7 publications

An Intelligent Process to Estimate the Nonlinear Behaviors of an Elasto-Plastic Steel Coil Damper Using Artificial Neural Networks

An Intelligent Process to Estimate the Nonlinear Behaviors of an Elasto-Plastic Steel Coil Damper Using Artificial Neural Networks

Proactive Maintenance Strategy Based on Resilience Empowerment for Complex Buildings

Vibration control of fluid-conveying pipes: a state-of-the-art review

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