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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-4083295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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