Research on the Grey Verhulst Model Based on Particle Swarm Optimization and Markov Chain to Predict the Settlement of High Fill Subgrade in Xiangli Expressway

doi:10.1155/2019/1878296

CORC > 武汉岩土力学研究所 > 中科院武汉岩土力学所 > 岩土力学所知识全产出 > 期刊论文

	Research on the Grey Verhulst Model Based on Particle Swarm Optimization and Markov Chain to Predict the Settlement of High Fill Subgrade in Xiangli Expressway
	Liu, Haiming ; Guo, Wei ; Zhang, Chao ; Yang, Huaihao
刊名	MATHEMATICAL PROBLEMS IN ENGINEERING
	2019
期号	-页码:-
ISSN号	1024-123X
DOI	10.1155/2019/1878296
英文摘要	It is of vital significance to accurately forecast the settlement of high fill subgrade, which is the foundation for disaster prevention and treatment of subgrade. According to the monitoring data of high fill subgrade, a novel model, called PSOMGVM model, based on particle swarm optimization (PSO) and Markov chain is proposed. Firstly, the typical characteristics of settlement curve are analyzed from the aspect of geomechanics theory and based on the grey theory, the grey Verhulst model (GVM) with unequal time-interval is proposed. Then, according to the theory of Markov chain, the grey Verhulst model is built to revise the relative residuals of the GVM, in which the effects of volatility characteristics can be considered. Finally, the PSOMGVM model based on PSO algorithm and Markov chain is set up, which whitens the parameters of the grey interval. In order to demonstrate the fitness and the ability of the proposed model, five competing models are introduced to predict the settlement of the high fill subgrade of Xiangli Expressway in Yunnan Province. Through the analysis of APE, MAPE, and RMSE, it states that the accuracy and performance of the PSOMGVM model outperform the other five competing models for simulative and predictive periods.
WOS研究方向	Engineering ; Mathematics
语种	英语
WOS记录号	WOS:000466431100001
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/15082]
专题	岩土力学所知识全产出_期刊论文
作者单位	1.Kunming Univ Sci & Technol, Yunnan Key Lab Disaster Reduct Civil Engn, Fac Civil Engn & Mech, Kunming 650500, Yunnan, Peoples R China; 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Liu, Haiming,Guo, Wei,Zhang, Chao,et al. Research on the Grey Verhulst Model Based on Particle Swarm Optimization and Markov Chain to Predict the Settlement of High Fill Subgrade in Xiangli Expressway[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2019(-):-.
APA	Liu, Haiming,Guo, Wei,Zhang, Chao,&Yang, Huaihao.(2019).Research on the Grey Verhulst Model Based on Particle Swarm Optimization and Markov Chain to Predict the Settlement of High Fill Subgrade in Xiangli Expressway.MATHEMATICAL PROBLEMS IN ENGINEERING(-),-.
MLA	Liu, Haiming,et al."Research on the Grey Verhulst Model Based on Particle Swarm Optimization and Markov Chain to Predict the Settlement of High Fill Subgrade in Xiangli Expressway".MATHEMATICAL PROBLEMS IN ENGINEERING .-(2019):-.