DocumentCode :
3016471
Title :
Application of Optimum Perturbation Algorithm for Parameter Inversion Identification of Soil Moisture Model under Ecological Slope Protection
Author :
Xue, Qiang ; Sheng, Qian ; Ma, Shi-jin
Author_Institution :
State Key Lab. of Geomechanics & Geotechnical Eng., Chinese Acad. of Sci., Wuhan, China
Volume :
1
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
204
Lastpage :
207
Abstract :
Based on porous media fluid dynamics theory and parameter inversion identification technology, mathematical model of soil moisture movement for ecological slope protection was established, and corresponding numerical inversion model was proposed. Using optimum perturbation algorithm, parameter inverse problem of soil water properties was conducted on numerical solution and inversion identification under ecological slope protection. Calculation results show that numerical inversion has good consistency with experimental test. Optimum perturbation algorithm ensures validity of parameter inverse problem in unsaturated soil moisture, exhibiting certain stability towards data disturbance. It also solves sensitive question of initial parameters on calculation results, less dependent on prior information of solution. It provides theoretical basis and technical support for scheme determination of ecological slope protection as well as optimization of moisture characteristic parameter.
Keywords :
ecology; fluid dynamics; geotechnical engineering; inverse problems; perturbation theory; porous materials; soil; ecological slope protection; mathematical model; numerical inversion model; optimum perturbation algorithm; parameter inverse problem; parameter inversion identification; porous media fluid dynamics theory; soil moisture model; soil water properties; Biological system modeling; Fluid dynamics; Inverse problems; Mathematical model; Numerical models; Protection; Soil moisture; Stability; Testing; Water; Optimum perturbation algorithm; ecological slope; parameter inversion identification; soil moisture model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.105
Filename :
5376093
Link To Document :
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