Academic Journal of Architecture and Geotechnical Engineering, 2025, 7(2); doi: 10.25236/AJAGE.2025.070215.
Wenyu Sun1, Yanzhi Zhu1,2, Yongzhi Jiu1
1School of Intelligent Construction and Architectural Engineering, Zhongyuan University of Technology, Zhengzhou, Henan, 450007, China
2Architectural Design and Research Institute, Zhongyuan University of Technology, Zhengzhou, Henan, 450007, China
Aiming at the problems of small sample, nonlinearity and uncertainty in pile foundation settlement prediction, a comprehensive analysis method combining grey GM (1,1) prediction model, grey correlation analysis and reliability theory is proposed based on grey system theory. Firstly, the grey correlation degree is used to screen the main controlling factors affecting the settlement. Secondly, the GM (1,1) model is used to predict the settlement trend. Finally, the reliability theory is introduced to evaluate the probability of settlement exceeding the standard. Through the verification of engineering cases, this method can effectively improve the prediction accuracy and provide theoretical support for the safety assessment of pile foundation engineering.
Grey Prediction, Grey GM (1,1) Model, Grey Correlation Degree, Pile Foundation Settlement
Wenyu Sun, Yanzhi Zhu, Yongzhi Jiu. Reliability Prediction of Pile Foundation Settlement Based on Grey GM (1,1) Model and Correlation Degree. Academic Journal of Architecture and Geotechnical Engineering (2025), Vol. 7, Issue 2: 111-116. https://doi.org/10.25236/AJAGE.2025.070215.
[1] Tian Wang. Reliability analysis of foundation settlement in large thickness fill site based on stochastic finite element method [ D ].Lanzhou Jiaotong University,2023.
[2] Qiu Hongsheng, Wang Xinrui. Application of Grey-Bayesian Model in Prediction of Underground Underpinning Settlement [ J ]. Engineering and Construction,2024,38(04):745-748+783.
[3] Deng Julong. Basic method of grey system[ Z]. Huazhong University of Science and Technology Press, 2002.
[4] Liu Sifeng. Grey system theory and its application [ M ]. 9th edition. Beijing: Science Publishing House, 2021.
[5] Wu Feiyu. Application of grey system in building subsidence prediction [ J ].Surveying and spatial geographic information,2020,43(11):204-206.
[6] Lv Guo, Wang Bo, Li Jiang. Research on deformation monitoring of foundation pit of commercial complex project based on grey theory prediction model [ J ]. Gansu Science Journal, 2024,36 ( 06 ) : 25-29 + 71.
[7] Liu, S., Yang, Y., Forrest, J. Grey Data Analysis: Methods, Models and Applications[ J ]. Springer, 2017.
[8] Zhang, L., et al. Reliability analysis of pile foundation settlement based on grey system theory. [ J ].Geotechnical Risk, 2019, 13(2): 145-156.
[9] Liu Lihao, Miao Linchang. Prediction of soil slope stability based on joint grey relational analysis [ J ]. Highway transportation technology, 2022, 39(10):32-39.
[10] Wang, Y., et al. A hybrid model combining grey relational analysis and GM(1,1) for predicting slope deformation[ J ]. Engineering Geology, 2020, 276: 105761.