Diagrid Core-tube Structure Seismic Performance Based on Equivalent Stiffness Ratio of Inner and Outer Tubes

Liu, Chengqing; Xu, Dibing

doi:10.1007/s12205-023-0677-9

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…Kachoee et al [ 17 ] used the LEAP model to predict carbon dioxide emissions relating to Iran’s power sector over the next 30 years and concluded that economic growth is the main influencing factor. Emodi et al [ 18 ] used the LEAP model to study climate change in relation to Australia’s power sector and found that reducing expenditure on environmental protection and resource conservation would produce economic benefits ( Fig 2 ).Liu [ 19 – 22 ] designed four plane-scale models of steel oblique beam structures and conducted quasi-static tests under cyclic loading, which clarified the yield mechanism, failure mode, hysteresis energy consumption, stiffness degradation, equivalent viscous resistance coefficient and lateral deformation performance of oblique beam structures, and provided technical basis for performance-based seismic design of oblique beam structures [ 23 ]. Jun-song Jia [ 24 ] takes Henan Province of China as a study area,computed the EF and the ecological carrying capacity (EC) in 1949–2006.…”

Section: Literature Reviewmentioning

confidence: 99%

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Lian,

Yang,

Yang

et al. 2024

PLoS ONE

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Global warming, caused by greenhouse gas emissions, is a major challenge for all human societies. To ensure that ambitious carbon neutrality and sustainable economic development goals are met, regional human activities and their impacts on carbon emissions must be studied. Guizhou Province is a typical karst area in China that predominantly uses fossil fuels. In this study, a backpropagation (BP) neural network and extreme learning machine (ELM) model, which is advantageous due to its nonlinear processing, were used to predict carbon emissions from 2020 to 2040 in Guizhou Province. The carbon emissions were calculated using conversion and inventory compilation methods with energy consumption data and the results showed an "S" growth trend. Twelve influencing factors were selected, however, five with larger correlations were screened out using a grey correlation analysis method. A prediction model for carbon emissions from Guizhou Province was established. The prediction performance of a whale optimization algorithm (WOA)-ELM model was found to be higher than the BP neural network and ELM models. Baseline, high-speed, and low-carbon scenarios were analyzed and the size and time of peak carbon emissions in Liaoning Province from 2020 to 2040 were predicted using the WOA-ELM model.

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Section: Literature Reviewmentioning

confidence: 99%

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Lian,

Yang,

Yang

et al. 2024

PLoS ONE

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“…In buildings, traditional buckling restrained braced (BRB) components are employed to resist horizontal forces such as earthquakes or wind loads [1][2][3][4]. When the axial force exceeds the yield load of the BRB components, it undergoes a significant plastic deformation to dissipate the energy, thereby reducing structural damage [5].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of a New Self-Centering BRB and Its Application in Seismic Resistance of Frame Structure

Lin,

Zhou,

Shen

et al. 2024

Buildings

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In order to enhance the self-centering capacity of steel frame structures after earthquakes and reduce the tubes of traditional double-tube or triple-tube SC-BRB, an innovative single-tube self-centering buckling restrained brace (ST-SC-BRB) is proposed in this paper. Firstly, the structural configuration of the ST-SC-BRB component was described. Then, cyclic tests were conducted on one small-scaled BRB and one ST-SC-BRB with the same core steel plate. The test results indicate that the ST-SC-BRB specimen exhibits an excellent self-centering ability compared to the conventional BRB. However, their energy-dissipation capacities are still determined by the core steel plate. In addition, time–history analyses were conducted to evaluate the seismic performance of steel frame structures with BRBs and ST-SC-BRBs. The results suggest that the ST-SC-BRBs can effectively reduce the residual deformation of steel frame structures after earthquakes and contribute to the self-centering capacity of the steel frame structures. Finally, the influence of design parameters of ST-SC-BRB components on the seismic performance of steel frame structures was discussed. It is confirmed that the initial stiffness of the ST-SC-BRB component significantly influences the seismic response of the structure, while the self-centering ratio of the ST-SC-BRB component is a crucial factor in determining the residual deformations of the structure.

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“…Emodi et al [18] used the LEAP model to study climate change in relation to Australia's power sector and found that reducing expenditure on environmental protection and resource conservation would produce economic benefits (Fig 2). Liu [19][20][21][22] designed four plane-scale models of steel oblique beam structures and conducted quasi-static tests under cyclic loading, which clarified the yield mechanism, failure mode, hysteresis energy consumption, stiffness degradation, equivalent viscous resistance coefficient and lateral deformation performance of oblique beam structures, and provided technical basis for performance-based seismic design of oblique beam structures [23]. Jun-song Jia [24] takes Henan Province of China as a study area, computed the EF and the ecological carrying capacity (EC) in 1949-2006.…”

Section: Domestic and Foreign Carbon Emission Predictionsmentioning

confidence: 99%

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Diagrid Core-tube Structure Seismic Performance Based on Equivalent Stiffness Ratio of Inner and Outer Tubes

Cited by 5 publications

References 24 publications

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Experimental Study of a New Self-Centering BRB and Its Application in Seismic Resistance of Frame Structure

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