Journal
AIP ADVANCES
Volume 12, Issue 10, Pages -Publisher
AIP Publishing
DOI: 10.1063/5.0118048
Keywords
-
Funding
- Fundamental Research Funds for the Central Universities
- [FRF-TP-20-040A1]
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Knowing the health condition of a structure during its service life is essential. This study explores the use of high-resolution 3D laser scanning as a non-destructive evaluation tool to create precise computational models. A direct scan-to-model strategy is proposed, along with a localized pathway to update only the damaged parts of the finite element model, reducing computational costs. The pathways are validated through laboratory-scale tensile testing and provide a foundation for establishing the link between visually observable geometric and numerical models used by engineers to understand system performance.
It is imperative to know the health condition of a structure during its service life. The development of laser scanning technology has created new opportunities to leverage high-resolution 3D laser scanning (3DLS) as a non-destructive evaluation tool for detailed geometrical information extracted for the creation of precise computational models. However, the workflow associated with this integration is indirect and presents challenges. The existing scan-to-model strategies use completely scanning data to generate a new finite element model (FEM), leading to excessive computational costs, especially if nonlinear analysis is required. In view of this, this study creates a pathway for a direct scan-to-model strategy suitable for translating condition data derived from a 3D laser scanning system into a FEM capable of describing the mechanical response of the component. Then, based on the scan-to-model strategy, a localized pathway to automatically identify the damaged parts and locally update the FEM is proposed. Instead of generating a new FEM of the damaged component, only the damaged parts are updated, which can reduce the computation cost. After that, the pathways were validated through laboratory-scale tensile testing using 3D Digital Image Correlation (3D-DIC), which enabled full-field deformation characterization and correlation with numerical model prediction. Results of this study provide the foundation of a computational framework for establishing the fundamental link between visually observable geometric and numerical models that engineers use to understand the performance of engineered systems. (C) 2022 Author(s).
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