Real-time deformation digital twin of composite plates via distributed fiber optic sensing
File(s)
Published version
Author(s)
Li, Yingwu
Pan, Yuhang
Sharif-Khodaei, Zahra
Type
Journal Article
Abstract
Dynamic shape reconstruction is critical for developing high-fidelity digital twin of structures, enabling early detection of large deformations and hence optimizing structural design and operation. To address challenges such as time-synchronized data acquisition, environmental and operational variations (EOVs), and dynamic validation and calibration, this study proposes a novel deformation digital twin framework for precise dynamic shape reconstruction of composite structures. The framework integrates 1D distributed fiber optic sensing for high-resolution strain acquisition, the inverse finite element method for shape reconstruction, and synchronized motion capture for dynamic validation. Experiments conducted on composite structures subjected to sinusoidal vibration loads at varying frequencies (5 Hz, 8 Hz, 10 Hz, and 15 Hz) and positions demonstrated a maximum displacement error below 0.3 mm, verifying the framework’s precision and robustness. Key contributions include the optimized digital representation of the fiber optic sensor network, high-fidelity reconstruction of dynamic deformations, and validation using a real-time motion capture system. These advancements offer a novel approach to structural digital twins, facilitating predictive maintenance, optimizing design and operation, and enhancing safety. This paves the way for sustainable and advanced industrial applications, particularly in aerospace and other engineering fields that demand precise shape sensing under EOVs.
Date Issued
2026-01-01
Date Acceptance
2025-10-15
Citation
Advanced Engineering Informatics, 2026, 69 (Part C)
ISSN
1474-0346
Publisher
Elsevier
Journal / Book Title
Advanced Engineering Informatics
Volume
69
Issue
Part C
Copyright Statement
© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
License URL
Publication Status
Published
Article Number
103992
Date Publish Online
2025-10-21