Rapid Assessment of Seismic Risk for Railway Bridge Based on Machine Learning

Cite this article: Huang, Y., He, J., Zhu, Z. Rapid Assessment of Seismic Risk for Railway Bridge Based on Machine Learning. International Journal of Structural Stability and Dynamics 23 (2023). https://doi.org/10.1142/S0219455424500561

Regional terrain-based VS30 prediction models for China

Cite this article: Zhang, Y., Ren, Y., Wen, R. et al. Regional terrain-based VS30 prediction models for China. Earth Planets Space 75, 72 (2023). https://doi.org/10.1186/s40623-023-01826-3

Construction Stage Seismic Resilience Evaluation of a Continuous Girder Bridge with the Cast-in-Place Cantilever Construction Method

Cite this article: Li, H., Huang, Y., Guo, E. Construction Stage Seismic Resilience Evaluation of a Continuous Girder Bridge with the Cast-in-Place Cantilever Construction Method. Tehnički vjesnik/Technical Gazette 30(4) : 1010-1019 (2023).

A Rapid Estimation Method for Post-Earthquake Building Losses

Cite this article: Zhao D, Wang Z, Wang J, et al. A Rapid Estimation Method for Post-earthquake Building Losses. International Journal of Disaster Risk Science, 14, 428–439 (2023). https://doi.org/10.1007/s13753-023-00491-0

Cumulative absolute velocity prediction for earthquake early warning with deep learning

Cite this article: Wang Y, Zhao Q, Qian K, Wang Z, et al. Cumulative absolute velocity prediction for earthquake early warning with deep learning, Computer‐Aided Civil and Infrastructure Engineering,(2023). https://doi.org/10.1111/mice.13065

A quantitative evaluation model for the seismic resilience of water supply systems based on fragility analysis

Cite this article: Wu, H., Guo, E., Yan, P. et al. A quantitative evaluation model for the seismic resilience of water supply systems based on fragility analysis. Sustainability, 15(16), 12137(2023). https://doi.org/10.3390/su151612137