| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Sriramula, Srinivas
University of Aberdeen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024Stochastic finite element-based reliability of corroded pipelines with interacting corrosion clusterscitations
- 2024Probabilistic finite element-based reliability of corroded pipelines with interacting corrosion cluster defectscitations
- 2023Estimation of burst pressure of pipelines with interacting corrosion clusters based on machine learning modelscitations
- 2023An investigation on the effect of widespread internal corrosion defects on the collapse pressure of subsea pipelinescitations
- 2021Multi-scale Reliability-Based Design Optimisation Framework for Fibre-Reinforced Composite Laminatescitations
- 2019Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced compositescitations
- 2018Influence of micro-scale uncertainties on the reliability of fibre-matrix compositescitations
- 2013An experimental characterisation of spatial variability in GFRP composite panelscitations
- 2009Probabilistic Models for Spatially Varying Mechanical Properties of In-Service GFRP Cladding Panelscitations
Places of action
| Organizations | Location | People |
|---|
article
An experimental characterisation of spatial variability in GFRP composite panels
Abstract
Probabilistic tools are being used to understand the inherent uncertainty of FRP composites. Over the years different approaches have developed, focusing on behaviour and associated uncertainties at a micro-/meso-/macro-scale, each with specific advantages/limitations depending on the type, and scope, of the analysis being undertaken. Consideration of spatial variability, and associated random field modelling, of geometric and material/mechanical properties is believed to be an important factor in seeking to improve strength and reliability estimates but lack of experimental data has hindered the applicability and usefulness of results hitherto obtained. In this paper, modelling strategies for characterising and specifying the spatial variability in terms of random fields are presented for two distinctly different types of GFRP composite panels. Autocorrelations for, and cross-correlations among, strength and stiffness properties are evaluated in terms of coupon spatial distances for various forms of correlation functions. These properties are found to be well represented by an exponential autocorrelation function, and specific values for correlation lengths are evaluated, providing an insight into the influence of material and manufacturing factors on the properties of GFRP composite material systems.