TY - JOUR
T1 - Predicting the deformation of compacted loess used for land creation based on the field monitoring with fiber-optic technology
AU - Liu, Jie
AU - Shi, Bin
AU - Cui, Yu-Jun
AU - Sun, Meng-Ya
AU - Gu, Kai
AU - Yao, Jun-Cheng
AU - Tang, Chao-Sheng
PY - 2024/7
Y1 - 2024/7
N2 - Deformation Prediction of compacted loess is important for the constructions on the land created with such soil. In this study, in-situ fiber-optic monitoring was employed through a 77 m-deep borehole to obtain the variations of deformation and water content in both compacted and natural loess. The monitoring results were analysed together with the sampled soil properties. Initial field studies indicated that natural loess experienced much smaller deformation than compacted loess because of its cementation and different structure. Further analysis showed that the variations of stress and water content increment are the most significant factors in compacted loess, exhibiting a logarithmic relationship with loess deformation. Dry density is also important but needs to be considered in conjunction with stress in the vertical direction, while initial volumetric water content and clay-size fraction exhibit insignificant effects on the time-dependent deformation of compacted loess. Based on the analysis of these factors, a time-dependent model was developed, allowing the compacted loess deformation to be estimated. The proposed model was further verified by a numerical analysis using the artificial neural network (ANN) method, showing the relevance of the factors identified from the field data analysis and adopted in the proposed model. © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
AB - Deformation Prediction of compacted loess is important for the constructions on the land created with such soil. In this study, in-situ fiber-optic monitoring was employed through a 77 m-deep borehole to obtain the variations of deformation and water content in both compacted and natural loess. The monitoring results were analysed together with the sampled soil properties. Initial field studies indicated that natural loess experienced much smaller deformation than compacted loess because of its cementation and different structure. Further analysis showed that the variations of stress and water content increment are the most significant factors in compacted loess, exhibiting a logarithmic relationship with loess deformation. Dry density is also important but needs to be considered in conjunction with stress in the vertical direction, while initial volumetric water content and clay-size fraction exhibit insignificant effects on the time-dependent deformation of compacted loess. Based on the analysis of these factors, a time-dependent model was developed, allowing the compacted loess deformation to be estimated. The proposed model was further verified by a numerical analysis using the artificial neural network (ANN) method, showing the relevance of the factors identified from the field data analysis and adopted in the proposed model. © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
KW - Compacted loess
KW - Collapse
KW - Land creation
KW - Influencing factors
KW - Deformation prediction
KW - ANN analysis
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U2 - 10.1016/j.enggeo.2024.107542
DO - 10.1016/j.enggeo.2024.107542
M3 - RGC 21 - Publication in refereed journal
SN - 0013-7952
VL - 336
JO - Engineering Geology
JF - Engineering Geology
M1 - 107542
ER -