Abstract
The vertical displacement, which is the product of natural sources and human activities, is the key factor affecting the sluice safety. This study provides a systematic approach used for analyzing the law and early warning of sluice cluster vertical displacements in coastal soft soil locations. Two important methods, including probability analysis and principal component analysis (PCA), are used to obtain the necessary information in this study. Among them, PCA is mainly used to identify the risk indices during vertical deformations of sluice cluster. As case studies, 27 sluices in a cluster in Northern Jiangsu Province’s coastal area in China are chosen and 14 variables related to sluice uplift, settlement and differential settlement deformations are used. The PCA and additional evidence from the sluice deformation law are used to identify three variables as risk indices, including maximum differential settlement (MMDS), maximum cumulative vertical settlement (MCVS) and maximum cumulative vertical uplift (MCVU). This study divides the risk levels into five grades (i.e., Level 1 to Level 5) based on the selected risk indices and determines their risk thresholds based on the in-situ deformation data from 2010 to 2020. In general, the results demonstrate that the newly proposed approach exhibits an acceptable performance. However, the influence of epistemic and aleatory uncertainties on this study is worthy of further discussion in the future.
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Acknowledgments
This work was supported by the Water Resources Science and Technology Project of Jiangsu Province (Grant No. 2019022), and the Science and Technology Project of Jiangsu Province (Grant No. BM2018028).
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Yang, X., Yuan, C., Hou, M. et al. Law and Early Warning of Vertical Sluice Cluster Displacements in Soft Coastal Soil. KSCE J Civ Eng 27, 698–711 (2023). https://doi.org/10.1007/s12205-022-0113-6
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DOI: https://doi.org/10.1007/s12205-022-0113-6