Computational homogenization for predicting the effective response of planar textile-reinforced concrete shells
Artikel i vetenskaplig tidskrift, 2025

Textile-reinforced concrete (TRC) exhibits a complex mechanical response, necessitating accurate and advanced models for analysis. This work shows the possibilities to model TRC using a two-scale approach. On the sub-scale, the response is predicted using Representative Volume Elements (RVEs), where the textile yarns are resolved. This approach makes it possible to capture the effects of bond–slip, interfilament slip, as well as concrete cracking and crushing. The large-scale plate response, in terms of membrane forces and bending moments, is obtained by homogenizing the results from the RVE using Kirchhoff plate kinematics. The outcome shows the possibilities of obtaining effective large-scale responses for varying sub-scale configurations. In this way, we omit the need for re-calibrating the large-scale model for every new reinforcement configuration. The scale-bridging framework developed in this work can be employed in large-scale plate and shell models to predict the effective constitutive response of TRC.

Textile-reinforced concrete

Finite element analysis

Concrete cracking

Interfilament slip

Multi-scale modeling

Computational homogenization

Bond–slip

Författare

Gabriel Edefors

Chalmers, Arkitektur och samhällsbyggnadsteknik, Konstruktionsteknik

Fredrik Larsson

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Karin Lundgren

Chalmers, Arkitektur och samhällsbyggnadsteknik, Konstruktionsteknik

International Journal of Solids and Structures

0020-7683 (ISSN)

Vol. 320 113472

Flerskalig utformning av textilarmerade betongkonstruktioner

Vetenskapsrådet (VR) (2022-03708), 2023-01-01 -- 2026-12-31.

Ämneskategorier (SSIF 2025)

Solid- och strukturmekanik

Byggkonstruktion

Infrastruktur

C3SE (-2020, Chalmers Centre for Computational Science and Engineering)

Styrkeområden

Materialvetenskap

DOI

10.1016/j.ijsolstr.2025.113472

Mer information

Senast uppdaterat

2025-06-18