Prediction of ground settlement based on immune genetic algorithm

doi:10.4028/www.scientific.net/AMM.155-156.1056

IR > 土木工程学院

	Prediction of ground settlement based on immune genetic algorithm
	Bi, Guiquan1,2
	2012
会议名称	2nd International Conference on Mechanical Engineering and Green Manufacturing, MEGM 2012
会议录名称	Applied Mechanics and Materials
卷号	155-156
页码	1056-1060
会议日期	March 16, 2012 - March 18, 2012
会议地点	Chongqing, China
出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
摘要	It is very important to predict ground settlement and provide effective dada for construction on soft soil foundation. There are several prediction methods. However, back analysis method is identified as the most effective method in all these methods. The most primarily used method in back analysis methods is optimization algorithm. In this paper, to realize accurate prediction and calculation of soft soil foundation settlement, an improved immune genetic algorithm is presented by introducing immune mechanism to genetic algorithm. A example was given and illustrated that this algorithm can greatly improve calculation speed and accuracy in predicting soft soil foundation settlement. © (2012) Trans Tech Publications.
关键词	Forecasting Genetic algorithms Manufacture Mechanical engineering Soils Accurate prediction Back analysis method Calculation speed Ground settlement Immune genetic algorithms Immune mechanism Optimization algorithms Prediction methods Settlement prediction Soft soil foundation
DOI	10.4028/www.scientific.net/AMM.155-156.1056
收录类别	EI
语种	英语
EI入藏号	20121114857309
EI主题词	Settlement of structures
ISSN	16609336
来源库	Compendex
分类代码	483.1 Soils and Soil Mechanics - 537.1 Heat Treatment Processes - 608 Mechanical Engineering, General - 723 Computer Software, Data Handling and Applications - 921 Mathematics
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116531
专题	土木工程学院能源与动力工程学院新能源学院
作者单位	1.State Key Laboratory of Frozen Soil Engineering, CAREERI, CAS, Lanzhou, 730000, China; 2.School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, 730000, China
第一作者单位	新能源学院
推荐引用方式 GB/T 7714	Bi, Guiquan. Prediction of ground settlement based on immune genetic algorithm[C]:Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany,2012:1056-1060.