IDEAS home Printed from https://ideas.repec.org/a/hin/complx/9034865.html
   My bibliography  Save this article

Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment

Author

Listed:
  • Yalan Xu
  • Yu Qian
  • Kongming Guo

Abstract

Considering that the statistic numerical characteristics are often required in the probability-based damage identification and safety assessment of functionally graded material (FGM) structures, an stochastic model updating-based inverse computational method to identify the second-order statistics (means and variances) of material properties as well as distribution of constituents for damaged FGM structures with material uncertainties is presented by using measurable modal parameters of structures. The region truncation-based optimization method is employed to simplify the computational process in stochastic model updating. In order to implement the forward propagation of uncertainties required in the stochastic model updating and avoid large error resulting in the nonconvergence of the iteration process, an algorithm is proposed to compute the covariance between the modal parameters and the identified parameters for damaged FGM structures. The proposed method is illustrated by a numerically simulated damaged FGM beam with continuous spatial variation of material properties and verified by comparing with the Monte-Carlo simulation (MCS) method. The influences of the levels and sources of measured data uncertainties as well as the boundary conditions on the identification results are investigated. The numerical simulation results show the efficiency and effectiveness of the presented method for the identification of material parameter variability by using the measurable modal parameters of damaged FGM structures.

Suggested Citation

  • Yalan Xu & Yu Qian & Kongming Guo, 2018. "Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment," Complexity, Hindawi, vol. 2018, pages 1-21, March.
    • Handle: RePEc:hin:complx:9034865
    DOI: 10.1155/2018/9034865
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/9034865.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2018/9034865.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/9034865?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mishra, Asim Kumar & Chakraborty, Sushanta, 2015. "Development of a finite element model updating technique for estimation of constituent level elastic parameters of FRP plates," Applied Mathematics and Computation, Elsevier, vol. 258(C), pages 84-94.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lim, Jae Hyuk & Henry, Milan & Hwang, Do-Soon & Sohn, Dongwoo, 2016. "Numerical prediction of fiber mechanical properties considering random microstructures using inverse analysis with quasi-analytical gradients," Applied Mathematics and Computation, Elsevier, vol. 273(C), pages 201-216.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:9034865. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.