Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis
Identification procedures based on instrumented indentation and inverse analysis are traditionally coupled with Finite Element Modelling (FEM) to perform simulation of the test. However, this approach is not suitable for in-situ applications since it is rather time consuming due to material and geom...
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| Format: | Article |
| Language: | English |
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2010-01-01
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| Series: | FME Transactions |
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| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2010/1451-20921003129B.pdf |
| _version_ | 1818608313480249344 |
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| author | Buljak Vladimir |
| author_facet | Buljak Vladimir |
| author_sort | Buljak Vladimir |
| collection | DOAJ |
| description | Identification procedures based on instrumented indentation and inverse analysis are traditionally coupled with Finite Element Modelling (FEM) to perform simulation of the test. However, this approach is not suitable for in-situ applications since it is rather time consuming due to material and geometrical nonlinearities required to be taken into account. This paper presents a novel technique for system response prediction based on Proper Orthogonal Decomposition and Radial Basis Functions. The developed technique gives the results of the same accuracy as those computed by FEM in computing times shorter by several orders of magnitude. Presented examples consider two different engineering applications. The first deals with the assessment of material parameters entering into the constitutive models of possibly damaged materials used for industrial plants. The second considers the identification of residual stresses which arise in components after surface treatments. |
| first_indexed | 2024-12-16T14:40:40Z |
| format | Article |
| id | doaj.art-88d0b2ec8a404668a808ca0622a02768 |
| institution | Directory Open Access Journal |
| issn | 1451-2092 2406-128X |
| language | English |
| last_indexed | 2024-12-16T14:40:40Z |
| publishDate | 2010-01-01 |
| publisher | University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
| record_format | Article |
| series | FME Transactions |
| spelling | doaj.art-88d0b2ec8a404668a808ca0622a027682022-12-21T22:27:57ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2010-01-013831291361451-20921003129BProper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysisBuljak Vladimir0https://orcid.org/0000-0002-0899-7779Politecnico, Milano, ItalijaIdentification procedures based on instrumented indentation and inverse analysis are traditionally coupled with Finite Element Modelling (FEM) to perform simulation of the test. However, this approach is not suitable for in-situ applications since it is rather time consuming due to material and geometrical nonlinearities required to be taken into account. This paper presents a novel technique for system response prediction based on Proper Orthogonal Decomposition and Radial Basis Functions. The developed technique gives the results of the same accuracy as those computed by FEM in computing times shorter by several orders of magnitude. Presented examples consider two different engineering applications. The first deals with the assessment of material parameters entering into the constitutive models of possibly damaged materials used for industrial plants. The second considers the identification of residual stresses which arise in components after surface treatments.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2010/1451-20921003129B.pdfinstrumented indentationinverse analysesproper orthogonal decompositionmaterial characterization |
| spellingShingle | Buljak Vladimir Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis FME Transactions instrumented indentation inverse analyses proper orthogonal decomposition material characterization |
| title | Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis |
| title_full | Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis |
| title_fullStr | Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis |
| title_full_unstemmed | Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis |
| title_short | Proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis |
| title_sort | proper orthogonal decomposition and radial basis functions algorithm for diagnostic procedure based on inverse analysis |
| topic | instrumented indentation inverse analyses proper orthogonal decomposition material characterization |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2010/1451-20921003129B.pdf |
| work_keys_str_mv | AT buljakvladimir properorthogonaldecompositionandradialbasisfunctionsalgorithmfordiagnosticprocedurebasedoninverseanalysis |