Open Access

ARTICLE

Quantitative Identification of Delamination Damage in Composite Structure Based on Distributed Optical Fiber Sensors and Model Updating

by Hao Xu¹, Jing Wang², Rubin Zhu², Alfred Strauss³, Maosen Cao⁴, Zhanjun Wu^1,*

1 School of Materials Science and Engineering, Dalian University of Technology, Dalian, 116000, China
2 School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian, 116000, China
3 Department of Civil Engineering and Natural Hazards, University of Natural Resources and Life Sciences, Vienna, 1180, Austria
4 Department of Engineering Mechanics, Hohai University, Nanjing, China

* Corresponding Author: Zhanjun Wu. Email:

(This article belongs to the Special Issue: Sensing Data Based Structural Health Monitoring in Engineering)

Structural Durability & Health Monitoring 2024, 18(6), 785-803. https://doi.org/10.32604/sdhm.2024.051393

Received 05 March 2024; Accepted 27 May 2024; Issue published 20 September 2024

Abstract

Delamination is a prevalent type of damage in composite laminate structures. Its accumulation degrades structural performance and threatens the safety and integrity of aircraft. This study presents a method for the quantitative identification of delamination identification in composite materials, leveraging distributed optical fiber sensors and a model updating approach. Initially, a numerical analysis is performed to establish a parameterized finite element model of the composite plate. Then, this model subsequently generates a database of strain responses corresponding to damage of varying sizes and locations. The radial basis function neural network surrogate model is then constructed based on the numerical simulation results and strain responses captured from the distributed fiber optic sensors. Finally, a multi-island genetic algorithm is employed for global optimization to identify the size and location of the damage. The efficacy of the proposed method is validated through numerical examples and experiment studies, examining the correlations between damage location, damage size, and strain responses. The findings confirm that the model updating technique, in conjunction with distributed fiber optic sensors, can precisely identify delamination in composite structures.

---

Keywords

---