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Peer-reviewed veterinary case report

Multiscale modeling method for viscoelastic construction materials

By Wang X et al.ยท2026ยทSchool of Astronautics, ChinaยทView original on Europe PMC โ†’

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Original publication title: Time-space multiscale model for viscoelastic construction materials using the initial stress method.

Plain-English summary

This study looks at special materials like rubberized concrete and polymer-modified asphalt that are used in building projects because they can absorb shock and return to their original shape. However, these materials can behave differently over time, making it hard to predict how they will hold up in the long run. The researchers developed a new method that helps analyze these materials more accurately and efficiently by breaking down their behavior into simpler parts. They tested this method on examples like rods and beams and found it worked very well compared to traditional calculations. Overall, this new approach could help engineers better understand how these materials will perform over time and improve the safety and sustainability of structures.

Abstract

Viscoelastic materials such as polymer-modified asphalt, rubberized concrete, and structural adhesives are widely used in civil engineering for damping and deformation-recovery properties. However, their time-dependent and heterogeneous features hinder long-term performance prediction and structural integrity assessment, necessitating an efficient, accurate multiscale analysis. This study proposes a multiscale finite element method (MsFEM) for viscoelastic materials, integrating the generalized Maxwell model (GMM) and the initial stress method. It converts time-domain convolution constitutive relations into incremental elastic problems, retains a constant stiffness matrix to boost efficiency, and uses mesoscale heterogeneity-representing basis functions for coarse-fine mesh coupling. Validated via axial rod and cantilever beam examples, the method shows high accuracy against analytical solutions, serving as a robust tool for predicting material long-term performance with applications in structural health monitoring, life cycle assessment, and sustainable design.

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Original publication on Europe PMC: https://europepmc.org/article/MED/41890977