journal article·2022-10-01Open access

Laser-based finite element model reconstruction for structural mechanics

Shuzhen Yang, Devin K. Harris

AIP Advances· Volume 12· Issue 10

Abstract

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.
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Research context

OpenAlex topics: 3D Surveying and Cultural Heritage · Infrastructure Maintenance and Monitoring

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Affiliations

Beijing Key Laboratory of Urban Underground Space Engineering, School of Civil and Resource Engineering, University of Science and Technology Beijing 1 , 30 Xueyuan Road, Haidian District, Beijing 100083, China

Department of Civil and Environmental Engineering, University of Virginia 2 , 151 Engineer’s Way, Charlottesville, Virginia 22904, USA

Funding

Fundamental Research Funds for the Central Universities

References (19)

Show source-provided references
1. 2017 · 457
2. J. Comput. Civ. Eng. · 2013 · 28 · 0801400110.1061/(ASCE)CP.1943-5487.0000343 ↗
3. 2011
4. Sci. China, Ser. E: Technol. Sci. · 2008 · 51 · 13310.1007/s11431-008-6014-1 ↗
5. 2015 · 355
6. Autom. Constr. · 2017 · 83 · 28510.1016/j.autcon.2017.08.004 ↗
7. Constr. Build. Mater. · 2016 · 124 · 51910.1016/j.conbuildmat.2016.07.133 ↗
8. Comput.-Aided Civ. Infrastruct. Eng. · 2007 · 22 · 1910.1111/j.1467-8667.2006.00466.x ↗
9. J. Surv. Eng. · 2007 · 133 · 7210.1061/(asce)0733-9453(2007)133:2(72) ↗
10. J. Perform. Constr. Facil. · 2015 · 30 · 0401502210.1061/(ASCE)CF.1943-5509.0000764 ↗
11. J. Perform. Constr. Facil. · 2016 · 30 · 0401505310.1061/(asce)cf.1943-5509.0000807 ↗
12. Sensors · 2015 · 15 · 1836010.3390/s150818360 ↗
13. J. Aerosp. Eng. · 2018 · 31 · 0401806810.1061/(asce)as.1943-5525.0000885 ↗
14. 2018
15. 2018
16. 2001
17. J. Constr. Steel Res. · 2011 · 67 · 74110.1016/j.jcsr.2010.12.014 ↗
18. 1943
19. J. Surv. Eng. · 2013 · 139 · 7210.1061/(asce)su.1943-5428.0000097 ↗