Research on Deformation Prediction of Foundation Pit Based on PSO-GM-BP Model

被引:16
作者
Cui, Dongge [1 ]
Zhu, Chuanqu [1 ]
Li, Qingfeng [2 ]
Huang, Qiyun [1 ]
Luo, Qi [1 ]
机构
[1] Hunan Univ Sci & Technol, Sch Resource & Environm & Safety Engn, Xiangtan 411201, Hunan, Peoples R China
[2] Hunan Univ Sci & Technol, Inst Mineral Engn, Xiangtan 411201, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1155/2021/8822929
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Deformation prediction is significant to the safety of foundation pits. Against with low accuracy and limited applicability of a single model in forecasting, a PSO-GM-BP model was established, which used the PSO optimization algorithm to optimize and improve the GM (1, 1) model and the BP network model, respectively. Combining a small amount of measured data during the excavation of a bottomless foundation pit in a Changsha subway station, the calculations based on the PSO-GM model, the PSO-BP network model, and the PSO-GM-BP model compared. The results show that both the GM (1, 1) and BP neural network models can predict accurate results. The prediction optimized by the particle swarm algorithm is more accurate and has more substantial applicability. Due to its reliable accuracy and wide application range, the PSO-GM-BP model can effectively guide the construction of foundation pits, and it also has certain reference significance for other engineering applications.
引用
收藏
页数:17
相关论文
共 18 条
[1]  
[Anonymous], 2017, TUNN CONSTR
[2]  
Cao J., 2014, APPL MECH MAT, V556, P1
[3]   An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network [J].
Deng, Wu ;
Liu, Hailong ;
Xu, Junjie ;
Zhao, Huimin ;
Song, Yingjie .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (10) :7319-7327
[4]   Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem [J].
Deng, Wu ;
Xu, Junjie ;
Song, Yingjie ;
Zhao, Huimin .
APPLIED SOFT COMPUTING, 2021, 100
[5]   Research of combination forecasting mode based on improved analytic hierarchy process [J].
Feng, Tengfei ;
Liu, Xiaosheng ;
Zhong, Yu ;
Liu, Shibiao .
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2018,
[6]  
[何世秀 He Shixiu], 2003, [岩土力学, Rock and Soil Mechanics], V24, P17
[7]   Predicting dynamic deformation of retaining structure by LSSVR-based time series method [J].
Ji, Zhiwei ;
Wang, Bing ;
Deng, SuPing ;
You, Zhuhong .
NEUROCOMPUTING, 2014, 137 :165-172
[8]  
[李秀珍 LI Xiuzhen], 2008, [自然灾害学报, Journal of Natural Disasters], V17, P53
[9]   Study of a Gray Genetic BP Neural Network Model in Fault Monitoring and a Diagnosis System for Dam Safety [J].
Liu, Hai-Feng ;
Ren, Chao ;
Zheng, Zhong-Tian ;
Liang, Yue-Ji ;
Lu, Xian-Jian .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (01)
[10]   FINITE ELEMENT NUMERICAL SIMULATION OF THREE-DIMENSIONAL SEEPAGE CONTROL FOR DEEP FOUNDATION PIT DEWATERING [J].
Luo Zu-jiang ;
Zhang Ying-ying ;
Wu Yong-xia .
JOURNAL OF HYDRODYNAMICS, 2008, 20 (05) :596-602