Harsch, JonasGanzosch, GregorBarchiesi, EmilioCiallella, AlessandroEugster, Simon R.2024-10-242024-10-2420221741-30281081-2865190812637Xhttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-151560http://elib.uni-stuttgart.de/handle/11682/15156http://dx.doi.org/10.18419/opus-15137Making use of experimental data for bias extension, shearing, and point-load tests in large deformation regime for rectangular and square bi-pantographic specimens, we perform a numerical identification to fit the a priori parameters of a planar discrete spring model. The main objective of the work is to develop an automatized optimization process based on the Nelder-Mead simplex algorithm for identifying the constitutive parameters of discrete modeling of bi-pantographic structures, as well as assessing its descriptiveness and predictive capacity. The analysis allows to conclude that there exists a single set of parameters for the adopted discrete modeling such that it is descriptive and predictive for several different tests and for a wide range of deformations.eninfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/510Experimental analysis, discrete modeling and parameter optimization of SLS-printed bi-pantographic structuresarticle2023-11-14