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Research Article

Seismic Performance Assessment of a Cable-Damper Stopper Equipped for Coal-Fired Thermal Power Plants: Theoretical and Numerical Analyses

, &
Pages 2292-2309 | Received 16 May 2023, Accepted 22 Nov 2023, Published online: 30 Nov 2023
 

ABSTRACT

A new cable-damper stopper equipped for Coal-Fired Thermal Power Plants (CFTPPs) was proposed in our previous paper, where a series of shaking table tests were carried out to investigate its seismic performance, so this paper aims to reveal the working mechanism of the stopper from the theoretical and numerical simulation aspects. The stopper is composed of three main components, i.e. a steel cable, a steel block and a viscous damper. First, the nonlinear restraint stiffness of the steel cable to the boiler was derived; second, the critical damping of the stopper, which makes the vibration of the boiler decay exponentially with no oscillation, was derived; third, an iterative method was proposed to globally tune the CFTPP structure, which makes it possible to obtain the optimal parameters of the cable-damper stopper, including the diameter of the steel cable and damping coefficient of the damper. Finally, finite element models were built and time history analyses were conducted to verify the proposed optimization approach. Firstly, the finite element models were proved valid through the comparison between the results of the simulations and the experiments. Then, based on the results of the simulations, the theoretical procedure was validated. The results revealed that the proposed cable-damper stopper reduced the seismic responses of displacements of the top floor and the boiler significantly, about 30.18% and 60.01% respectively compared with their counterparts of CFTPPs without stoppers.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Data Availability Statement

The data that support the findings of this study are openly available in “figshare” at http://doi.org/10.6084/m9.figshare.22822085, reference number https://figshare.com/s/734f09e410410043e6f8.

Additional information

Funding

This research has been supported by the National Natural Science Foundation of China [Grant no. 52078292].

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