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The vertical dynamic stiffness of long-span cable-stayed bridges under vehicle loading is a crucial concern due to their susceptibility to sustained vibrations with notable wave effects. This study investigates the dynamics stiffness perception and enhancement mechanisms of cable-stayed bridges based on fast wave analysis method, proposing wave-associated structural concepts (WSC) for designing stiffer cable-stayed bridges under traffic loading. Initially, the wave function characterizing cable-stayed bridge vibrations is introduced into the representation of the dynamic stiffness of cables and beams, and six WSC for enhancing structural dynamic stiffness are proposed. Subsequently, the fast establishment of the core module for wave function computation is achieved through modular construction of the wave propagation matrix. By employing wave decomposition to clarify the decoupling relationships among the wave components, a distributed algorithm is applied for efficient parallel solving of the wave function. Finally, the reliability and superiority of the proposed method are validated. Using wave analysis method, the stiffness enhancement mechanisms based on WSC and the criteria for implementing WSC in cable-stayed bridges are presented. The case study indicates that the structural dynamic stiffness is related to the wave characteristics which are influenced by both excitations and structural parameters. Enabling the rapid transmission of waves to the structural foundation promote uniform energy distribution and amplitude reduction of wave, thereby enhancing the dynamic stiffness. The beam section stiffness contributes to a dual-effect stiffness enhancement in cable-stayed bridges, effectively increasing the wave velocity. An alternative definition of structural dynamic stiffness is provided based on wave propagation.
The vertical dynamic stiffness of long-span cable-stayed bridges under vehicle loading is a crucial concern due to their susceptibility to sustained vibrations with notable wave effects. This study investigates the dynamics stiffness perception and enhancement mechanisms of cable-stayed bridges based on fast wave analysis method, proposing wave-associated structural concepts (WSC) for designing stiffer cable-stayed bridges under traffic loading. Initially, the wave function characterizing cable-stayed bridge vibrations is introduced into the representation of the dynamic stiffness of cables and beams, and six WSC for enhancing structural dynamic stiffness are proposed. Subsequently, the fast establishment of the core module for wave function computation is achieved through modular construction of the wave propagation matrix. By employing wave decomposition to clarify the decoupling relationships among the wave components, a distributed algorithm is applied for efficient parallel solving of the wave function. Finally, the reliability and superiority of the proposed method are validated. Using wave analysis method, the stiffness enhancement mechanisms based on WSC and the criteria for implementing WSC in cable-stayed bridges are presented. The case study indicates that the structural dynamic stiffness is related to the wave characteristics which are influenced by both excitations and structural parameters. Enabling the rapid transmission of waves to the structural foundation promote uniform energy distribution and amplitude reduction of wave, thereby enhancing the dynamic stiffness. The beam section stiffness contributes to a dual-effect stiffness enhancement in cable-stayed bridges, effectively increasing the wave velocity. An alternative definition of structural dynamic stiffness is provided based on wave propagation.
In order to identify the time-varying frequency and amplitude of structural vibration based on the bridge structural health monitoring data and obtain the cable force of cable-stayed bridges in real time, a spectrum analysis method based on amplitude and phase estimation (APES) was proposed in this study. The amplitude spectrum of the acceleration data is first calculated by the APES method, the real-time spectrogram of the cable is obtained by the sliding window method. Then the modal frequency and amplitude are automatically extracted from the real-time spectrum by using a frequency extrusion post-processing technique, which can be regarded as the average value of the instantaneous frequency and amplitude respectively. Next, the fundamental frequency of the cable is extracted by using an automatic identification method, and the performance of the proposed method is verified. Finally, real-time scoring of cable forces and structural condition assessment is achieved with consideration of the moderation index model as well as the material strength. The results show that the APES method can use shorter calculation samples than the traditional Fast Fourier Transform (FFT) to obtain higher resolution and more accurate amplitude, which provides a theoretical basis for the real-time identification of fundamental frequency based on short-term monitoring data. The frequency extrusion post-processing-algorithm can reduce the spectrum recognition delay and improve timeliness of the cable force evaluation. The time-varying cable force with an interval of 10 s can be used to reflect the health status of the cable in time. The research results can provide technical support for the real-time extraction of cable force of long-span cable-stayed bridges, and can also provide an effective basis for component condition evaluation and bridge maintenance decision-making.
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