4.7 Article

The prey's catching problem in an elastically supported spider orb-web

期刊

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2020.107310

关键词

Inverse problems; Identification of sources; Spider orb-web; Elastically supported membrane; Infinitesimal vibration

资金

  1. Fapesp - Sao Paulo Research Foundation [2019/14827 - 0]
  2. Ministerio de Economia y Competitividad de Espana [PGC2018-098218-B-I00]

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Spiders use their orb-web as a sensor to capture prey and detect the impact position, transmitting vibratory information to their legs. Recent studies have made progress in formulating the catching problem as an inverse problem and using a membrane model for the orb-web. Relaxing the rigid support condition at the boundary of the web helps approach the reality of non-rigid substrates, leading to a reconstruction algorithm for load support identification.
Spiders use their orb-web not only to capture prey, but also as a sensor to detect the position of the area where it has impacted. The web, serving as a waveguide, transmits to its eight legs the vibratory information so that the spider can orient itself towards the prey, performing a task similar to solving an inverse problem. Although the response of spiders to vibrations has been studied for over 100 years, the understanding of the dynamic response of the web and its ability to serve as a sensor remains largely incomplete. Some recent work has made significant progress in this area, in particular in the formulation of the catching problem as an inverse problem (Kawano and Morassi [1,2]), using a continuous membrane model for the orb-web (Morassi et al. [3]). Here, we continue this line of research by relaxing the condition of null displacement at the boundary of the web (rigid support) that was considered in previous studies, thus approaching the reality of a not necessarily rigid substrate (e.g., leaves) to which spiders anchor their web. The creation of a reconstruction algorithm for identifying the load support provides an answer to the inverse problem. Additionally, the adoption of the support stiffness as a fundamental parameter of the study allows the analysis of its influence on the quality of the identification. (c) 2020 Elsevier Ltd. All rights reserved.

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