Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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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 clusters1citations
  • 2024Probabilistic finite element-based reliability of corroded pipelines with interacting corrosion cluster defects6citations
  • 2023Estimation of burst pressure of pipelines with interacting corrosion clusters based on machine learning models8citations
  • 2023An investigation on the effect of widespread internal corrosion defects on the collapse pressure of subsea pipelines5citations
  • 2021Multi-scale Reliability-Based Design Optimisation Framework for Fibre-Reinforced Composite Laminates7citations
  • 2019Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites51citations
  • 2018Influence of micro-scale uncertainties on the reliability of fibre-matrix composites42citations
  • 2013An experimental characterisation of spatial variability in GFRP composite panels49citations
  • 2009Probabilistic Models for Spatially Varying Mechanical Properties of In-Service GFRP Cladding Panels15citations

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Mensah, Abraham
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Siddiq, M. Amir
1 / 49 shared
Akisanya, Alfred R.
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Olatunde, Michael
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Omairey, Sadik L.
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Dunning, Peter
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Naskar, Susmita
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Mukhopadhyay, Tanmoy
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Chryssanthopoulos, Marios K.
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Co-Authors (by relevance)

  • Mensah, Abraham
  • Siddiq, M. Amir
  • Akisanya, Alfred R.
  • Olatunde, Michael
  • Omairey, Sadik L.
  • Dunning, Peter
  • Naskar, Susmita
  • Mukhopadhyay, Tanmoy
  • Chryssanthopoulos, Marios K.
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article

Influence of micro-scale uncertainties on the reliability of fibre-matrix composites

  • Omairey, Sadik L.
  • Sriramula, Srinivas
  • Dunning, Peter
Abstract

This study investigates the effect of micro-scale geometric and material property uncertainties on the elastic properties and reliability of fibre reinforced composite materials. Composite materials are often designed using conservative design factors to account for a limited understanding of how multi-scale uncertainties effect reliability. Structural reliability analysis can produce more efficient designs, but requires an understanding of how all sources uncertainty effect probability of failure. Previous studies have not considered micro-scale geometrical uncertainties and their combinations in a multi-scale probabilistic-based reliability framework. Thus, this study will investigate the effect of numerous combinations of micro-scale material property and geometric uncertainties on the homogenised elastic properties. Furthermore, to account for the effect in a reliability-based framework, a novel surrogate modelling technique is developed to represent the uncertainties efficiently. The study concluded that the geometrical fibre stacking uncertainty is as influential as the widely investigated constituent material stiffness uncertainties. Consequently, representing the micro-scale geometric uncertainties within the developed multi-scale probabilistic-based framework improves the estimated stiffness. Thus probability of failure is reduced, compared with considering material property uncertainties only. Moreover, the framework clarified and highlighted the importance of representing fibre geometrical stacking uncertainty for a deeper understanding of their effect on composite stiffness properties.

Topics
  • impedance spectroscopy
  • composite