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dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorHAMDI, Seif Eddine
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSBARTAÏ, Zoubir Mehdi
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorELACHACHI, Sidi Mohammed
dc.date.accessioned2021-12-14T11:31:42Z
dc.date.available2021-12-14T11:31:42Z
dc.date.issued2021-10-16
dc.identifier.issn0043-7719en_US
dc.identifier.urioai:crossref.org:10.1007/s00226-021-01335-0
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124138
dc.description.abstractEnThe capacity to detect changes in modal properties caused by structural response from those resulting from noises (environment, test conditions, etc.) is a major issue in vibration analysis. For timber-based structures monitoring, high uncertainty ratios in the measurements may prevent efficient modal parameter identification. Therefore, assessment of large timber structures needs to rely on realistic measurement technologies and adequate post-processing tools for improving engineering practices. In this paper, four of the most common identification methods were presented in a benchmark study with respect to the modal parameters identification efficiency of timber elements under different numerical and experimental configurations. These are the Least-Squares Complex Exponential (LSCE) method, the Ibrahim Time Domain (ITD) method, the Frequency-Domain Direct Parameter Identification (FDPI) method and the Least-Squares Complex Frequency-Domain method (PolyMax). All these methods have advantages and disadvantages in terms of computational efficiency, statistical bias, or variance reduction. Therefore, a careful selection of the modal analysis method is a vital step in dynamic data evaluation. Experimental vibration tests combined with a finite element model were conducted. First, a numerical versus experimental efficiency benchmark was performed. Second, the robustness of the selected algorithms for investigating the influences of input waveforms complexity and external noise to the performance of the algorithms was investigated. The robustness of the selected algorithms for estimating the influences of input waveforms complexity on natural frequencies shifts was analyzed. When comparing various algorithms, the simulation and experimental results give a specific direction for the choice of the adapted modal analysis algorithm in timber-based structures engineering applications. The simulation and experimental results show that, for the same experimental data, the PolyMax algorithm has better performance, while the LSCE is worst. Besides, the PolyMax method gives a nonlinear dimensionality reduction algorithm for processing high dimensional information.
dc.language.isoENen_US
dc.sourcecrossref
dc.title.enPerformance assessment of modal parameters identification methods for timber structures evaluation: numerical modeling and case study
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00226-021-01335-0en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalWood Science and Technologyen_US
bordeaux.page1593-1618en_US
bordeaux.volume55en_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.issue6en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03479427
hal.version1
hal.date.transferred2021-12-14T11:31:43Z
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Wood%20Science%20and%20Technology&rft.date=2021-10-16&rft.volume=55&rft.issue=6&rft.spage=1593-1618&rft.epage=1593-1618&rft.eissn=0043-7719&rft.issn=0043-7719&rft.au=HAMDI,%20Seif%20Eddine&SBARTA%C3%8F,%20Zoubir%20Mehdi&ELACHACHI,%20Sidi%20Mohammed&rft.genre=article


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