Prediction of Liquefaction-Induced Settlement Using Artificial Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1972-3_100
Reference12 articles.
1. Park, S.S., Tran, D.K.L., Nguyen, TN., Woo, SW., Sung, H.Y.: Effect of loading frequency on the liquefaction resistance of poorly graded sand. In: Nguyen, L.Q., Bui, L.K., Bui, XN., Tran, H.T. (eds.) Advances in Geospatial Technology in Mining and Earth Sciences. GTER 2022. Environmental Science and Engineering, pp. 95–104. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-20463-0_6
2. Le, TT., Park, SS., Woo, SW., Tran, L.: Cyclic response and post-cyclic settlement of sand experiencing repeated earthquakes. In: Ha-Minh, C., Tang, A.M., Bui, T.Q., Vu, X.H., Huynh, D.V.K. (eds.) CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure. LNCE, vol. 203, pp. 1015–1023. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-7160-9_103
3. Le, T.-T., Park, S.-S., Woo, S.-W.: Cyclic response and reconsolidation volumetric strain of sand under repeated cyclic shear loading events. J. Geotech. Geoenvironmental Eng. 148(12), 04022109 (2022)
4. Park, S.-S., Doan, N.-P., Nong, Z.: Numerical prediction of settlement due to the Pohang earthquake. Earthq. Spectra 37(2), 652–685 (2021)
5. Doan, N.-P., Park, S.-S., Lee, D.-E.: Assessment of Pohang earthquake-induced liquefaction at Youngil-man port using the UBCSAND2 model. Appl. Sci. 10(16), 5424 (2020)
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