Large Deformation Analyses of a Square Frame by Experimental and Numerical Means

YEONG-BIN YANG, Georg Zenz, Johannes Gerstmayr, Karin Nachbagauer, MING - HSIANG SHIH

Research output: Contribution to conferenceAbstract

Abstract

The aim of this paper is to highlight and identify the influencing parameters of the nonlinear behavior of highly deformable structures. Therefore, as an example, a large deformable square frame consisting of four slender members of equal length has been investigated experimentally. Based on highly resolving measurements using the digital image correlation method (DIC), the inverse problem of nonlinear system identification has been solved by an automatic parameter identification algorithm. For this purpose, a numerical model is set up with a beam finite element model using the absolute nodal coordinate formulation (ANCF), which enables the modeling of geometrical and possible material nonlinearities. The influencing parameters as well as the system properties have been determined by using a genetic optimization algorithm. The impact of the main influencing parameter is carved out by an included sensitivity study. The final model with automatically identified parameters shows high agreement with the experimental setup. With this approach the influences and nonlinearities, e.g. material parameters, rigid behavior, real boundary conditions, etc., come up to surface leading to a deeper understanding of the structural behavior of the system itself. Therefore, the present approach can be utilized for further investigations of nonstandard structures undergoing large deformations.
Original languageEnglish
Publication statusPublished - 2016
EventThe 12th World Congress on Computational Mechanics (WCCM) - Seoul, Korea, Republic of
Duration: 24 Jul 201629 Jul 2016
http://wccm2016.org/main/

Conference

ConferenceThe 12th World Congress on Computational Mechanics (WCCM)
CountryKorea, Republic of
CitySeoul
Period24.07.201629.07.2016
Internet address

Keywords

  • absolute nodal coordinate formulation
  • digital image correlation method
  • geometric nonlinearity
  • large deformation
  • square frame
  • system identification

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