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Original Articles

New formulae for capacity energy-based assessment of liquefaction triggering

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Pages 214-222 | Received 14 Sep 2018, Accepted 21 Dec 2018, Published online: 01 Feb 2019

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Reza Khoshroo & Ali Derakhshani. (2020) New formulation of reduction factors for pile groups under lateral loading through Model Tree technique. Ships and Offshore Structures 15:10, pages 1120-1128.
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Articles from other publishers (8)

Ali Derakhshani, Behzad Moein & Ghassem Habibagahi. (2023) Identification of dispersive soils via computational intelligence. European Journal of Soil Science 74:2.
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Maryam sadat Seyedpour & Ali Derakhshani. (2023) Probabilistic stability analysis of anchored cantilever sheet pile walls using fuzzy set theory. Applied Ocean Research 131, pages 103454.
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Jin Chen, Hong Tang, Wenkai Chen & Naisen Yang. (2022) A Prediction Method of Ground Motion for Regions without Available Observation Data (LGB-FS) and Its Application to both Yangbi and Maduo Earthquakes in 2021. Journal of Earth Science 33:4, pages 869-884.
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Abolfazl Baghbani, Tanveer Choudhury, Susanga Costa & Johannes Reiner. (2022) Application of artificial intelligence in geotechnical engineering: A state-of-the-art review. Earth-Science Reviews 228, pages 103991.
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Yan Zhang, Yong-gang Zhang, Chao Zhai, Yuanlun Xie & Junbo Qiu. (2022) Establishment of the prediction model of soil liquefaction based on capacity energy concept and rigid regression. Bulletin of Engineering Geology and the Environment 81:3.
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Yan Zhang, Wen-Hui Chu & Mahmood Ahmad. (2022) The establishment of prediction model for soil liquefaction based on the seismic energy using the neural network. Environmental Earth Sciences 81:4.
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Shekoufe Ghasemi Rozveh & Ali Derakhshani. (2021) Uncertainty analysis of liquefaction-induced lateral spreading using fuzzy variables and genetic algorithm. Bulletin of Engineering Geology and the Environment 80:12, pages 9185-9200.
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Ali Derakhshani & Amir Hossein Foruzan. (2019) Predicting the principal strong ground motion parameters: A deep learning approach. Applied Soft Computing 80, pages 192-201.
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