Identification of System Properties in a Square Frame Undergoing Large Deformations: Numerical and Experimental Investigations

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