{"title":"Numerical analysis of tailing dam with calibration based on genetic algorithm and geotechnical monitoring data","authors":"Szczepan Grosel","doi":"10.2478/sgem-2020-0008","DOIUrl":null,"url":null,"abstract":"Abstract The article presents a method of calibration of material parameters of a numerical model based on a genetic algorithm, which allows to match the calculation results with measurements from the geotechnical monitoring network. This method can be used for the maintenance of objects managed by the observation method, which requires continuous monitoring and design alterations. The correctness of the calibration method has been verified on the basis of artificially generated data in order to eliminate inaccuracies related to approximations resulting from the numerical model generation. Using the example of the tailing dam model the quality of prediction of the selected measurement points was verified. Moreover, changes of factor of safety values, which is an important indicator for designing this type of construction, were analyzed. It was decided to exploit the case of dam of reservoir, which is under continuous construction, that is dam height is increasing constantly, because in this situation the use of the observation method is relevant.","PeriodicalId":44626,"journal":{"name":"Studia Geotechnica et Mechanica","volume":"43 1","pages":"34 - 47"},"PeriodicalIF":0.7000,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studia Geotechnica et Mechanica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/sgem-2020-0008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract The article presents a method of calibration of material parameters of a numerical model based on a genetic algorithm, which allows to match the calculation results with measurements from the geotechnical monitoring network. This method can be used for the maintenance of objects managed by the observation method, which requires continuous monitoring and design alterations. The correctness of the calibration method has been verified on the basis of artificially generated data in order to eliminate inaccuracies related to approximations resulting from the numerical model generation. Using the example of the tailing dam model the quality of prediction of the selected measurement points was verified. Moreover, changes of factor of safety values, which is an important indicator for designing this type of construction, were analyzed. It was decided to exploit the case of dam of reservoir, which is under continuous construction, that is dam height is increasing constantly, because in this situation the use of the observation method is relevant.
期刊介绍：
An international journal ‘Studia Geotechnica et Mechanica’ covers new developments in the broad areas of geomechanics as well as structural mechanics. The journal welcomes contributions dealing with original theoretical, numerical as well as experimental work. The following topics are of special interest: Constitutive relations for geomaterials (soils, rocks, concrete, etc.) Modeling of mechanical behaviour of heterogeneous materials at different scales Analysis of coupled thermo-hydro-chemo-mechanical problems Modeling of instabilities and localized deformation Experimental investigations of material properties at different scales Numerical algorithms: formulation and performance Application of numerical techniques to analysis of problems involving foundations, underground structures, slopes and embankment Risk and reliability analysis Analysis of concrete and masonry structures Modeling of case histories
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