Imperial College London
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ProfessorMariaCharalambides

Faculty of Engineering, Department of Mechanical Engineering

Professor of the Mechanics of Materials
 
 
 
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Contact

 

+44 (0)20 7594 7246m.charalambides Website

 
 
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Location

 

516City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhang:2022:10.1016/j.compositesb.2022.109632,
author = {Zhang, R and Mohammed, IK and Taylor, AC and Charalambides, MN},
doi = {10.1016/j.compositesb.2022.109632},
journal = {Composites Part B: Engineering},
pages = {109632--109632},
title = {A microstructure image-based numerical model for predicting the fracture toughness of alumina trihydrate (ATH) lled poly(methyl methacrylate) (PMMA) composites},
url = {http://dx.doi.org/10.1016/j.compositesb.2022.109632},
volume = {232},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A novel finite element model is proposed here for predicting the fracture toughness using real microstructuralimages and accounting for several parameters that can affect the crack propagation such as filler content, particleshape, particle agglomeration and particle debonding. The damage energy prior to the catastrophic failure of thewhole microstructure is taken as the energy required for crack initiation, and the fracture toughness is calculatedusing the concept of a critical crack size. The predictions agree well with the measured values of the criticalenergy release rate at 20 C as a function of both volume fraction and mean particle size. In addition, a para-metric study showed that an increase in interfacial cohesive energy leads to higher fracture energies at 60 C. Theproposed methodology shows great potential and can be widely applied to other particulate composites, enablingindustry to cost-effectively develop tougher, hence safer and more durable, particulate composites
AU  - Zhang,R
AU  - Mohammed,IK
AU  - Taylor,AC
AU  - Charalambides,MN
DO  - 10.1016/j.compositesb.2022.109632
EP  - 109632
PY  - 2022///
SN  - 1359-8368
SP  - 109632
TI  - A microstructure image-based numerical model for predicting the fracture toughness of alumina trihydrate (ATH) lled poly(methyl methacrylate) (PMMA) composites
T2  - Composites Part B: Engineering
UR  - http://dx.doi.org/10.1016/j.compositesb.2022.109632
UR  - https://www.sciencedirect.com/science/article/pii/S135983682200021X?via=ihub#!
UR  - http://hdl.handle.net/10044/1/93948
VL  - 232
ER  -
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