Hybrid seismic isolation of vertical pressure vessels in CO2 capture plant

Dai, Jun; Xu, Zhong; Guo, Yingqing; Yang, Chunmei

doi:10.1016/j.istruc.2022.02.073

Cited by 3 publications

(2 citation statements)

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“…4. This algorithm is applied to the seismic acceleration signal 𝑎(𝑡) shown in equation (3). The corrected velocity and displacement time curves are shown in Fig.…”

Section: ) Removal Of Constant and Linear Terms Algorithmmentioning

confidence: 99%

“…Moreover, it seriously threatens the safety of human life and property, and it is usually accompanied by secondary disasters such as fire, tsunami, mudslides, and nuclear leakage to aggravate further the adverse effects of the disaster [1,2]. At present, the accurate prediction technology for earthquakes is not perfect, so it is vital to improving the seismic performance of building structures to reduce the losses of earthquake disasters and protect people's lives and properties [3,4]. However, due to the complexity of earthquake mechanism and structural seismic performance, it is difficult to truly understand the seismic performance under a natural earthquake environment only from theoretical analysis, so it must be studied in combination with experimental methods.…”

Section: Introductionmentioning

confidence: 99%

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Research on Seismic Acceleration Waveform Reproduction Based on Time-Frequency Hybrid Integration Algorithm

et al. 2022

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For the quadratic integration of seismic acceleration signal with noise and unknown initial velocity and displacement, the obtained displacement signal has serious trend error, which leads to the problem that the electrodynamic seismic simulation shaker under displacement control mode cannot accurately reproduce the seismic wave. This paper proposes the time-frequency hybrid integration algorithm based on time domain and frequency domain integration characteristics. The algorithm mainly includes two steps. The first step is to use the improved low-frequency attenuation algorithm to integrate the seismic acceleration for the first time in the frequency domain to obtain the corresponding velocity signal. The second step is to integrate the velocity signal directly in the time domain and combine it with the removal of the constant and linear terms algorithm to obtain the corresponding displacement signal. The accuracy and effectiveness of the algorithm are verified by numerical analysis and shaking table test. The results show that compared with the traditional hybrid integral algorithm, the performance improvement rates of displacement peak error and absolute error of the proposed time-frequency hybrid integral algorithm are 31.75% and 26.01%, respectively, and the accuracy of acceleration waveform reproduction is improved by 27.29%. Furthermore, when using this algorithm for the shaking table test of the seismic acceleration signal, the maximum peak error rate is only 4.92%. Therefore, this algorithm can effectively suppress the baseline drift and error accumulation caused by low-frequency noise and unknown initial state to realize the accurate reproduction of the acceleration waveform of the seismic simulation shaking table.INDEX TERMS Time-frequency hybrid integration algorithm; seismic acceleration signal; removal of the constant and linear terms algorithm; improved low-frequency attenuation algorithm; electrodynamic seismic simulation shaker

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“…4. This algorithm is applied to the seismic acceleration signal 𝑎(𝑡) shown in equation (3). The corrected velocity and displacement time curves are shown in Fig.…”

Section: ) Removal Of Constant and Linear Terms Algorithmmentioning

confidence: 99%