IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v424y2022ics0096300322000339.html
   My bibliography  Save this article

Determination of the prey impact region in a spider orb-web from in-plane vibration

Author

Listed:
  • Kawano, Alexandre
  • Morassi, Antonino
  • Zaera, Ramón

Abstract

In this paper we study the inverse problem of locating a prey in a spider orb-web from measurements of the in-plane dynamic response of the web immediately after the impact. The orb-web, having axial symmetry and fixed boundary, is described by a continuous pre-stressed membrane undergoing infinitesimal deformation. The impact of the prey is modeled by an in-plane pressure field, whose two spatial components constitute the unknowns of the inverse problem. A reconstruction algorithm for the impact region is proposed, which is essentially based on the determination of certain generalized Fourier coefficients of the loading terms starting from discrete in-plane dynamical measurements that mimic what the spider performs in nature. The results show that the information gathered by the spider positioned at the center of the web is sufficient for a precise localization of the prey, for different prey and orb-web characteristics. The simulations also show that the sensitivity of the reconstruction to errors on the data is significant only when the observation time is close to the theoretical minimum time.

Suggested Citation

  • Kawano, Alexandre & Morassi, Antonino & Zaera, Ramón, 2022. "Determination of the prey impact region in a spider orb-web from in-plane vibration," Applied Mathematics and Computation, Elsevier, vol. 424(C).
  • Handle: RePEc:eee:apmaco:v:424:y:2022:i:c:s0096300322000339
    DOI: 10.1016/j.amc.2022.126947
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300322000339
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2022.126947?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:apmaco:v:424:y:2022:i:c:s0096300322000339. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.