Seismic vulnerability analysis of continuous beam bridge based on finite element Method
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10668-024-05119-x.pdf
Reference40 articles.
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2. Banerjee, S., & Ganesh-Prasad, G. (2013). Seismic risk assessment of reinforced concrete bridges in flood–prone regions. Structure and Infrastructure Engineering, 9(9), 952–968. https://doi.org/10.1080/15732479.2011.649292.
3. Cheng, Y., & Fu, L. (2022). Nonlinear seismic inversion by physics–informed Caianiello convolutional neural networks for overpressure prediction of source rocks in the offshore Xihu depression, East China. Journal of Petroleum Science and Engineering, 215, 110654. https://doi.org/10.1016/j.petrol.2022.110654.
4. Dang, P., Cui, J., Liu, Q., & Li, Y. (2023). Influence of source uncertainty on stochastic ground motion simulation: A case study of the 2022 mw 6.6 Luding, China, earthquake. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-023-02427-y.
5. Das, S., Halder, K., & Chakraborty, D. (2022). Seismic bearing capacity of shallow embedded strip footing on rock slopes. Geomechanics and Engineering, 30(2), 123–138. https://doi.org/10.12989/gae.2022.30.2.123.
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