Identification of constitutive parameters of a polymeric foam via finite element models and digital image correlation

• Grant number: 25/21990-6
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: January 01, 2026
• End date: October 31, 2026
• Field of knowledge: Engineering - Mechanical Engineering - Mechanics of Solids
• Principal Investigator: Ricardo Afonso Angélico
• Grantee: Lívia Máris Senosien Redígolo
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Polymeric foams offer a combination of low density, high energy absorption, and tunable mechanical properties, making them suitable for lightweight sandwich structures in aerospace applications. Their closed-cell morphology provides excellent stiffness-to-weight ratios and vibration damping. The design of structures with such materials requires the identification of constitutive model parameters using mechanical tests. However, the instrumentation of mechanical tests on polymeric foams is complex, as such materials do not allow for the installation of strain gauges on their surface. One alternative to overcome this issue is to perform mechanical tests assisted by non-intrusive measurements, such as digital image correlation. In this context, the present research project aims to identify constitutive parameters of a rigid polymeric foam by integrating experimental data and numerical simulations. Quasi-static compression and indentation tests will be performed in a rigid PVC foam using a universal testing machine assisted by Digital Image Correlation (DIC). A digital twin will be created in the Abaqus finite element software using Python subroutines to enable the identification of parameters of interest by minimizing the displacement field difference using a Levenberg-Marquardt algorithm. Mechanical tests will also be performed to validate the parameters identified under more complex loading conditions. The outcomes comprise constitutive model parameters and computational models capable of simulating the behavior of structures with foams. It also contributes to the development of advanced experimental methodologies for the mechanical characterization of cellular materials. (AU)