Treed gaussian process for manufacturing imperfection identification of pultruded GFRP thin-walled profile
| Autor: | Giosuè Boscato, Luca Zanotti Fragonara, Marco Civera |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Modal analysis Glass fiber Manufacturing imperfection identification Treed Gaussian Process (TGP) 02 engineering and technology Pultruded GFRP profile Flange Bayesian-based recursive partitioning symbols.namesake 0203 mechanical engineering Gaussian process Civil and Structural Engineering business.industry Structural engineering Fibre-reinforced plastic 021001 nanoscience & nanotechnology Finite element method 020303 mechanical engineering & transports Buckling Pultrusion Ceramics and Composites symbols Finite element model 0210 nano-technology business |
| Popis: | The process of manufacturing pultruded FRP (Fiber Reinforced Polymers) profiles involves unavoidable imperfections that affect their structural performances. This is is even more relevant for the stability of axially loaded slender elements, due to the importance of imperfections and notches to initiate the buckling phenomenon. Thus, they become a predominant factor for the design of lightweight FRP beam-like structures. A Bayesian approach is proposed to estimate the presence and location of manufacturing imperfections in pultruded GFRPs (Glass Fiber Reinforced Polymers) profiles. Specifically, the Treed Gaussian Process (TGP) procedure is applied. This approach combines regression Gaussian Processes (GP) and Bayesian-based Recursive Partitioning. The experimental and numerical modal shapes of wide flange pultruded profile were investigated. The experimental data were compared with the numerical results of several Finite Element Models (FEM) characterised by different crack sizes. |
| Databáze: | OpenAIRE |
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