Imperial College London
Alternate

Dr Soraia Pimenta

Faculty of Engineering, Department of Mechanical Engineering

Reader in Mechanics of Materials and Structures
 
 
 
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Contact

 

+44 (0)20 7594 3784soraia.pimenta Website

 
 
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Location

 

521City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pimenta:2017:10.1016/j.compscitech.2017.04.018,
author = {Pimenta, S},
doi = {10.1016/j.compscitech.2017.04.018},
journal = {Composites Science and Technology},
pages = {210--225},
title = {A computationally-efficient hierarchical scaling law to predict damage accumulation in composite fibre-bundles},
url = {http://dx.doi.org/10.1016/j.compscitech.2017.04.018},
volume = {146},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Unidirectional composites under longitudinal tension develop damage through the accumulation and clustering of fibre–breaks, which may lead to catastrophic failure of an entire structure. This paper uses a hierarchical scaling law to predict the kinetics of fibre–breakage and its effect on the stress–strain response of composites under longitudinal tension; due to its analytical formulation based on the statistical analysis of hierarchical fibre–bundles, the scaling law predicts the response of composite bundles up to virtually any size in less than one second. Model predictions for the accumulation and clustering of fibre–breaks are successfully validated against experiments from the literature. These results show that the present model is a much more computationally–efficient alternative to other state–of–the–art models based on Monte–Carlo simulations, without sacrificing the accuracy of predictions when compared against experiments.
AU  - Pimenta,S
DO  - 10.1016/j.compscitech.2017.04.018
EP  - 225
PY  - 2017///
SN  - 0266-3538
SP  - 210
TI  - A computationally-efficient hierarchical scaling law to predict damage accumulation in composite fibre-bundles
T2  - Composites Science and Technology
UR  - http://dx.doi.org/10.1016/j.compscitech.2017.04.018
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000403120000027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S0266353817304712?via%3Dihub
UR  - http://hdl.handle.net/10044/1/50896
VL  - 146
ER  -
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