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Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring

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 prob...

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Detalles Bibliográficos
Autores principales: Lin, Peng, Liu, Xiaoli, Chen, Hong-Xin, Kim, Jinxie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083295/
https://www.ncbi.nlm.nih.gov/pubmed/25025089
http://dx.doi.org/10.1155/2014/483243
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author Lin, Peng
Liu, Xiaoli
Chen, Hong-Xin
Kim, Jinxie
author_facet Lin, Peng
Liu, Xiaoli
Chen, Hong-Xin
Kim, Jinxie
author_sort Lin, Peng
collection PubMed
description 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.
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spelling pubmed-40832952014-07-14 Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring Lin, Peng Liu, Xiaoli Chen, Hong-Xin Kim, Jinxie ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2014 2014-06-17 /pmc/articles/PMC4083295/ /pubmed/25025089 http://dx.doi.org/10.1155/2014/483243 Text en Copyright © 2014 Peng Lin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lin, Peng
Liu, Xiaoli
Chen, Hong-Xin
Kim, Jinxie
Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
title Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
title_full Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
title_fullStr Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
title_full_unstemmed Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
title_short Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
title_sort ant colony optimization analysis on overall stability of high arch dam basis of field monitoring
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083295/
https://www.ncbi.nlm.nih.gov/pubmed/25025089
http://dx.doi.org/10.1155/2014/483243
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