Determination of the prey impact region in a spider orb-web from in-plane vibration
Alexandre Kawano,
Antonino Morassi and
Ramón Zaera
Applied Mathematics and Computation, 2022, vol. 424, issue C
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.
Keywords: Identification of sources; Reconstruction algorithm; Vibrations; Finite element analysis; Membrane; Spider orb-web (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300322000339
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:424:y:2022:i:c:s0096300322000339
DOI: 10.1016/j.amc.2022.126947
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().