Accurate structural identification for layered composite structures, through a wave and finite element scheme
Abstract
We present for the first time an approach for identifying the geometric and material characteristics of layered composite structures through an inverse wave and finite element approach. More specifically, this Non-Destructive Evaluation (NDE) approach is able to recover the thickness, density, as well as all independent mechanical characteristics such as the tensile and shear moduli for each layer of the composite structure under investigation. This is achieved through multi-frequency single shot measurements. It is emphasized that the success of the approach is independent of the employed excitation frequency regime, meaning that both structural dynamics and ultrasound frequency spectra can be employed. It is demonstrated that more efficient convergence of the identification process is attained closer to the bending-to-shear transition range of the layered structure. Since a full FE description is employed for the periodic composite, the presented approach is able to account for structures of arbitrary complexity. The procedure is applied to a sandwich panel with composite facesheets and results are compared with two wave-based characterization techniques: the Inhomogeneous Wave Correlation method and the Transition Frequency Characterization method. Numerical simulations and experimental results are presented to verify the robustness of the proposed method.
Related
- Scaling of Interface Variability in Aerospace Composite Structures: A Multi-scale Stochastic Approach from Local Identification to Panel Response
- Fracture Propagation Patterns and Multifractal Characteristics of Rock–Coal–Rock Composite Structures with Different Interface Inclinations
- Identification-Based Zero-Sum Tracking Control for Linear Composite Systems with Unmeasured Disturbances
- Engineering safe structures: recent advances in structural reliability modelling
- Deep Bayesian Filtering for Nonlinear Structural System Identification: A Tutorial on Structural and Physical Inductive Biases
BibTeX
@misc{chronopoulos2026accurate,
title = {{Accurate structural identification for layered composite structures, through a wave and finite element scheme}},
author = {D. Chronopoulos and C. Droz and R. Apalowo and M. Ichchou and W. J. Yan},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.40689},
eprint = {2610.40689},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.40689},
}
RIS
TY - UNPB
TI - Accurate structural identification for layered composite structures, through a wave and finite element scheme
AU - D. Chronopoulos
AU - C. Droz
AU - R. Apalowo
AU - M. Ichchou
AU - W. J. Yan
PY - 2026
DA - 2026/10/27
PB - arXiv
DO - 10.48550/arxiv.2610.40689
UR - https://arxiv.org/abs/2610.40689
AB - We present for the first time an approach for identifying the geometric and material characteristics of layered composite structures through an inverse wave and finite element approach. More specifically, this Non-Destructive Evaluation (NDE) approach is able to recover the thickness, density, as well as all independent mechanical characteristics such as the tensile and shear moduli for each layer of the composite structure under investigation. This is achieved through multi-frequency single shot measurements. It is emphasized that the success of the approach is independent of the employed excitation frequency regime, meaning that both structural dynamics and ultrasound frequency spectra can be employed. It is demonstrated that more efficient convergence of the identification process is attained closer to the bending-to-shear transition range of the layered structure. Since a full FE description is employed for the periodic composite, the presented approach is able to account for structures of arbitrary complexity. The procedure is applied to a sandwich panel with composite facesheets and results are compared with two wave-based characterization techniques: the Inhomogeneous Wave Correlation method and the Transition Frequency Characterization method. Numerical simulations and experimental results are presented to verify the robustness of the proposed method.
ER -