Integrating computer vision techniques with finite element phase field damage analysis

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Authors

Zhang, Youqi
Niiranen, Jarkko

Date

2025-08

Department

Department of Civil Engineering

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Mcode

Degree programme

Language

en

Pages

12

Series

Computers & Structures, Volume 315

Abstract

Realistic and accurate finite element (FE) models are crucial for understanding and predicting the health, performance, and safety of deteriorated structures. Accordingly, this paper presents a novel approach that integrates computer vision techniques and a phase field method to enhance FE damage analyses. Computer vision techniques are employed to analyze the visual inspection or monitoring data and to extract the geometric features of a structure and its damage, while the phase field method provides a robust numerical solution for representing the damage and simulating its progression. The integration of these methods allows for automated and precise updates of damage information in the FE model, improving model accuracy and reducing manual intervention. Case studies on a paper board and a steel cross beam of a bridge demonstrate the applicability and effectiveness of the proposed approach, highlighting its feasibility for monitoring and assessment in real-world engineering applications.

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Publisher Copyright: © 2025 The Author(s)

Keywords

Computer vision, Damage update, Digital twin, Finite element analysis, Phase field method

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DOI

10.1016/j.compstruc.2025.107793

Citation

Zhang, Y & Niiranen, J 2025, 'Integrating computer vision techniques with finite element phase field damage analysis', Computers & Structures, vol. 315, 107793. https://doi.org/10.1016/j.compstruc.2025.107793

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https://urn.fi/URN:NBN:fi:aalto-202505143667

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[article-cris] Insinööritieteiden korkeakoulu / ENG