AN INTELLIGENT PROCEDURE FOR UPDATING DEFORMATION PREDICTION OF BRACED EXCAVATION IN CLAY USING GATED RECURRENT UNIT NEURAL NETWORKS

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dc.contributor.authorYang, Jie
dc.contributor.authorLiu, Yingjing
dc.contributor.authorYagiz, Saffet
dc.contributor.authorLaouafa, Farid
dc.date.accessioned2022-02-16T11:10:48Z
dc.date.available2022-02-16T11:10:48Z
dc.date.issued2021-10-05
dc.description.abstractThis paper aims to establish an intelligent procedure that combines the observational method with the existing deep learning technique for updating deformation of braced excavation in clay. The gated recurrent unit (GRU) neural network is adopted to formulate the forecast model and learn the potential rules in the field observations using the Nesterov-accelerated Adam (Nadam) algorithm. In the proposed procedure, the GRU-based forecast model is first trained based on the field data of previous and current stages. Then, the field data of the current stage are used as input to predict the deformation response of the next stage via the previously trained GRU-based forecast model. This updating process will loop up till the end of the excavation. This procedure has the advantage of directly predicting the deformation response of unexcavated stages based on the monitoring data. The proposed intelligent procedure is verified on two well-documented cases in terms of accuracy and reliability. The results indicate that both wall deflection and ground settlement are accurately predicted as the excavation proceeds. Furthermore, the advantages of the proposed intelligent procedure compared with the Bayesian/optimization updating are illustrated.en_US
dc.identifier.citationYang, J., Liu, Y., Yagiz, S., & Laouafa, F. (2021). An intelligent procedure for updating deformation prediction of braced excavation in clay using gated recurrent unit neural networks. Journal of Rock Mechanics and Geotechnical Engineering, 13(6), 1485–1499. https://doi.org/10.1016/j.jrmge.2021.07.011en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6050
dc.language.isoenen_US
dc.publisherJournal of Rock Mechanics and Geotechnical Engineeringen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectBraced excavationen_US
dc.subjectDeep learningen_US
dc.subjectClayen_US
dc.subjectWall deflectionen_US
dc.subjectGround settlementen_US
dc.subjectDeformation updatingen_US
dc.titleAN INTELLIGENT PROCEDURE FOR UPDATING DEFORMATION PREDICTION OF BRACED EXCAVATION IN CLAY USING GATED RECURRENT UNIT NEURAL NETWORKSen_US
dc.typeArticleen_US
workflow.import.sourcescience

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