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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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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Ullah, Zahur

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in Cooperation with on an Cooperation-Score of 37%

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Publications (23/23 displayed)

  • 2024Effects of ply hybridisation on delamination in hybrid laminates at CorTen steel/M79LT-UD600 composite interfacescitations
  • 2024Experimental and numerical investigation of fracture characteristics in hybrid steel/composite and monolithic angle-ply laminatescitations
  • 2024Finite fracture mechanics fracture criterion for free edge delaminationcitations
  • 2023A three-dimensional Finite Fracture Mechanics model for predicting free edge delaminationcitations
  • 2023A computational framework for crack propagation along contact interfaces and surfaces under load2citations
  • 2023Three-dimensional semi-analytical investigation of interlaminar stresses in composite laminatescitations
  • 2023Maritime applications of fibre reinforced polymer compositescitations
  • 2023A semi-analytical method for measuring the strain energy release rates of elliptical crackscitations
  • 2023Studies on the impact and compression-after-impact response of ‘Double-Double’ carbon-fibre reinforced composite laminatescitations
  • 2023Failure analysis of unidirectional composites under longitudinal compression considering defectscitations
  • 2023Exploring the elastic properties of woven fabric composites: a machine learning approach for improved analysis and design1citations
  • 2021On the importance of finite element mesh alignment along the fibre direction for modelling damage in fibre-reinforced polymer composite laminates13citations
  • 2020Hierarchical finite element-based multi-scale modelling of composite laminates7citations
  • 2020Investigation of the free-edge stresses in composite laminates using three-dimensional hierarchic finite elementscitations
  • 2020A three-dimensional hierarchic finite element-based computational framework for the analysis of composite laminates6citations
  • 2019A unified framework for the multi-scale computational homogenisation of 3D-textile composites38citations
  • 2018Mortar Contact Formulation Using Smooth Active Set Strategy Applied to 3D Crack Propagationcitations
  • 2018Multiscale Computational Homogenisation of 3D Textile-based Fiber Reinforced Polymer Compositescitations
  • 2017Multi-scale Computational Homogenisation to Predict the Long-Term Durability of Composite Structures.29citations
  • 2016Multi-Scale Computational Homogenisation of the Fibre-Reinforced Polymer Composites Including Matrix Damage and Fibre-Matrix Decohesioncitations
  • 2015Hierarchical Finite Element Based Multiscale Computational Homogenisation of Coupled Hygro-Mechanical Analysis for Fibre-Reinforced Polymerscitations
  • 2015Multiscale computational homogenisation to predict the long-term durability of composite structurescitations
  • 2014Computational homogenisation of fibre reinforced compositescitations

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Burhan, Mohammad
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Mccreight, T.
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Sands, Caitlin
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Kazancı, Zafer
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Catalanotti, Giuseppe
5 / 29 shared
Scalici, Tommaso
2 / 8 shared
Falzon, Brian George
7 / 10 shared
Scalici, Tommasso
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Kaczmarczyk, Łukasz
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Athanasiadis, Ignatios
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Lewandowski, Karol
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Pearce, Chris J.
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Shvarts, Andrei G.
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Wan, Lei
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Millen, Scott
3 / 9 shared
Aravand, M. Ali
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Falzon, Brian
1 / 15 shared
Allegri, Giuliano
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Hayat, Khazar
1 / 1 shared
Ahmad, Zeshan
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Siddique, Shafaqat
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Pearce, Chris
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Zhou, Xiaoyi
1 / 1 shared
Kaczmarczyk, Lukasz
8 / 8 shared
Kaczmarczyk, Ł.
1 / 2 shared
Pearce, C. J.
2 / 4 shared
Harkin-Jones, Eileen
2 / 46 shared
Zhou, X.-Y.
1 / 1 shared
Archer, Edward
2 / 15 shared
Mcilhagger, Alistair
2 / 18 shared
Pearce, Christopher
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Evernden, M. C.
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Grammatikos, S. A.
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Kaczmarczyk, L.
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Co-Authors (by relevance)

  • Burhan, Mohammad
  • Mccreight, T.
  • Sands, Caitlin
  • Kazancı, Zafer
  • Catalanotti, Giuseppe
  • Scalici, Tommaso
  • Falzon, Brian George
  • Scalici, Tommasso
  • Kaczmarczyk, Łukasz
  • Athanasiadis, Ignatios
  • Lewandowski, Karol
  • Pearce, Chris J.
  • Shvarts, Andrei G.
  • Wan, Lei
  • Millen, Scott
  • Aravand, M. Ali
  • Falzon, Brian
  • Allegri, Giuliano
  • Hayat, Khazar
  • Ahmad, Zeshan
  • Siddique, Shafaqat
  • Pearce, Chris
  • Zhou, Xiaoyi
  • Kaczmarczyk, Lukasz
  • Kaczmarczyk, Ł.
  • Pearce, C. J.
  • Harkin-Jones, Eileen
  • Zhou, X.-Y.
  • Archer, Edward
  • Mcilhagger, Alistair
  • Pearce, Christopher
  • Evernden, M. C.
  • Grammatikos, S. A.
  • Kaczmarczyk, L.
OrganizationsLocationPeople

document

Computational homogenisation of fibre reinforced composites

  • Ullah, Zahur
  • Kaczmarczyk, L.
  • Pearce, C. J.
Abstract

This paper presents the application of computational homogenisation to the modelling of fibre reinforced composites. This work is motivated by the need to predict the durability performance of these materials for use in construction. In this work we identify two modelling scales, recognising that the macroscopic behaviour is rooted in the behaviour of the microstructure. The microscale is at the level of fibre bundles embedded in a matrix, with heterogeneous properties, and the macroscale (structural) level with statistically homogeneous properties. <br/><br/>Initially, a strategy for automating the construction of the RVE using a python/Aprepro script is presented. This permits the geometric properties of the fibre bundles to be parameterised and different types of composites to be generated rapidly within CUBIT. This also allows us to generate high quality meshes that can effectively handle the interface between adjacent fibre bundles and between the matrix and the fibre bundles. <br/><br/>The RVE is then subject to a series of macroscopic deformation states via appropriate boundary conditions, in order investigate mechanical degradation mechanisms. We identify probability distribution functions for the microscopic properties and these are used to drive a programme of RVE analyses. These are compared with experimental observations. A hierarchical hp-refinement strategy is implemented, based on the work of Ainsworth and Coyle [1], in order to improve the approximation of displacements. A convergence study is presented to demonstrate the effectiveness of this approach. <br/><br/>The modelling of the RVE is then implemented into a two-scale Finite Element framework, whereby the macroscopic problem is modelled as a homogeneous continuum possessing effective properties. All developments are designed to exploit high performance computing facilities. <br/><br/>

Topics
  • impedance spectroscopy
  • microstructure
  • composite
  • durability