Document Detail


Ant colony optimization analysis on overall stability of high arch dam basis of field monitoring.
MedLine Citation:
PMID:  25025089     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
A dam ant colony optimization (D-ACO) analysis of the overall stability of high arch dams on complicated foundations is presented in this paper. A modified ant colony optimization (ACO) model is proposed for obtaining dam concrete and rock mechanical parameters. A typical dam parameter feedback problem is proposed for nonlinear back-analysis numerical model based on field monitoring deformation and ACO. The basic principle of the proposed model is the establishment of the objective function of optimizing real concrete and rock mechanical parameter. The feedback analysis is then implemented with a modified ant colony algorithm. The algorithm performance is satisfactory, and the accuracy is verified. The m groups of feedback parameters, used to run a nonlinear FEM code, and the displacement and stress distribution are discussed. A feedback analysis of the deformation of the Lijiaxia arch dam and based on the modified ant colony optimization method is also conducted. By considering various material parameters obtained using different analysis methods, comparative analyses were conducted on dam displacements, stress distribution characteristics, and overall dam stability. The comparison results show that the proposal model can effectively solve for feedback multiple parameters of dam concrete and rock material and basically satisfy assessment requirements for geotechnical structural engineering discipline.
Authors:
Peng Lin; Xiaoli Liu; Hong-Xin Chen; Jinxie Kim
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Publication Detail:
Type:  Journal Article     Date:  2014-06-17
Journal Detail:
Title:  TheScientificWorldJournal     Volume:  2014     ISSN:  1537-744X     ISO Abbreviation:  ScientificWorldJournal     Publication Date:  2014  
Date Detail:
Created Date:  2014-07-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101131163     Medline TA:  ScientificWorldJournal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  483243     Citation Subset:  IM    
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