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    Sensitivity-Based Model Update for Estimating Generalized Proportional Damping Parameters in a Finite-Element Model

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002::page 04024011-1
    Author:
    Lamartini Fontana Barazzutti
    ,
    Herbert Martins Gomes
    ,
    Luis Roberto Centeno Drehmer
    DOI: 10.1061/AJRUA6.RUENG-1178
    Publisher: ASCE
    Abstract: Geometrical simplifications, the choice of boundary conditions, modeling of connections and the determination of material property values are the steps that constitute the process of idealizing a finite element model. Therefore, there are many unknown and uncertain variables that affect how the numerical model results differ from the measured experimental data. Updating mass and stiffness by experimental modal data has been extensively studied. But identifying damping characteristics represents a next level of difficulty due to their not well-established sources. Generalized proportional damping may solve this issue by using information on damping ratio measurements, because an arbitrary variation of damping ratios can be modeled accurately by using this approach. The sensitivity method is one among several methodologies to quickly perform a model identification. Here, a prototype metallic framed structure has its mode frequencies and damping ratios measured and used to update a finite element model. Results of a test campaign of the experimental results along with the finite element model update steps are presented and show little computational effort to obtain good agreement for numerical and experimental results. A cloud of sample plots for measured parameters and the identified ones and covariance confirm the good agreement especially for the damping parameters.
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      Sensitivity-Based Model Update for Estimating Generalized Proportional Damping Parameters in a Finite-Element Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4297289
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorLamartini Fontana Barazzutti
    contributor authorHerbert Martins Gomes
    contributor authorLuis Roberto Centeno Drehmer
    date accessioned2024-04-27T22:42:00Z
    date available2024-04-27T22:42:00Z
    date issued2024/06/01
    identifier other10.1061-AJRUA6.RUENG-1178.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297289
    description abstractGeometrical simplifications, the choice of boundary conditions, modeling of connections and the determination of material property values are the steps that constitute the process of idealizing a finite element model. Therefore, there are many unknown and uncertain variables that affect how the numerical model results differ from the measured experimental data. Updating mass and stiffness by experimental modal data has been extensively studied. But identifying damping characteristics represents a next level of difficulty due to their not well-established sources. Generalized proportional damping may solve this issue by using information on damping ratio measurements, because an arbitrary variation of damping ratios can be modeled accurately by using this approach. The sensitivity method is one among several methodologies to quickly perform a model identification. Here, a prototype metallic framed structure has its mode frequencies and damping ratios measured and used to update a finite element model. Results of a test campaign of the experimental results along with the finite element model update steps are presented and show little computational effort to obtain good agreement for numerical and experimental results. A cloud of sample plots for measured parameters and the identified ones and covariance confirm the good agreement especially for the damping parameters.
    publisherASCE
    titleSensitivity-Based Model Update for Estimating Generalized Proportional Damping Parameters in a Finite-Element Model
    typeJournal Article
    journal volume10
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1178
    journal fristpage04024011-1
    journal lastpage04024011-14
    page14
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002
    contenttypeFulltext
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