Work

Lost in homogenisation: Navigating the challenges of predicting ideal behaviour in inhomogeneous porous structures

Year: 2025

Type: article

Abstract: We introduce a novel meta -modelling approach coupled with a four-part piecewise constitutive model to predict the compressive behaviour of homogeneous foams using data from inhomogeneous specimens. This method estimates individual density layer responses within the foam, enabling the prediction of compression behaviour for ideal density configurations. Validated through cellulose pulp fiber foam experiments utilizing Digital Image Correlation (DIC) analysis and finite element simulations of synthetic expanded polystyrene (EPS) foam, our meta -model effectively derived material properties from imperfect foams of varying densities, while accounting for errors induced by density variations. It accurately captured foam material response from initial compression through densification. Our approach offers significant advantages for optimizing foam structures without costly commercial software or ideal specimens, bridging the gap between real-world materials and idealized models. While initially designed for cellulose pulp fibre foams, this model shows broad potential for evaluating various foams with density variations, including both sustainable and non-sustainable materials.

Source: International Journal of Solids and Structures

DOI: 10.1016/j.ijsolstr.2025.113522

Authors: Markus Wagner, Sebastian Wurm, Georg Baumann, Tiina Nypelö, Florian Feist

Institutions: Graz University of Technology, Chalmers University of Technology, Aalto University

Language: English

Topic: Cellular and Composite Structures

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,790

Funders: Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme