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Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite

Recent prediction on the heavy statistical correlation between the mechanical properties of fiber reinforced composite (FRP) raises new concerns on the accurate reliability evaluation of composite structures, but such statistical correlation still lacks experimental verification. In this work, an ex...

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Detalles Bibliográficos
Autores principales: Zhang, Shufeng, Xing, Tongzhen, Zhu, Haibin, Chen, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040935/
https://www.ncbi.nlm.nih.gov/pubmed/32028624
http://dx.doi.org/10.3390/ma13030674
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author Zhang, Shufeng
Xing, Tongzhen
Zhu, Haibin
Chen, Xun
author_facet Zhang, Shufeng
Xing, Tongzhen
Zhu, Haibin
Chen, Xun
author_sort Zhang, Shufeng
collection PubMed
description Recent prediction on the heavy statistical correlation between the mechanical properties of fiber reinforced composite (FRP) raises new concerns on the accurate reliability evaluation of composite structures, but such statistical correlation still lacks experimental verification. In this work, an experimental methodology is proposed to determine the statistical correlation between mechanical properties of unidirectional FRP composite. A rectangular shaped carbon fiber reinforced plastic (CFRP) specimen with a circular hole is loaded by tension, and 3D digital image correlation (DIC) is employed to characterize the heterogeneous strain field around the hole. Virtual field method (VFM) is used to derive E(11), E(22), ν(12), and G(12) of specimens. Specimen configuration considering fiber angle and hole diameter is optimized to achieve accurate determination of correlation coefficients. Experimental results on the linear correlation coefficients between E(11), E(22), ν(12), and G(12) agree well with previous theoretical predictions.
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spelling pubmed-70409352020-03-09 Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite Zhang, Shufeng Xing, Tongzhen Zhu, Haibin Chen, Xun Materials (Basel) Article Recent prediction on the heavy statistical correlation between the mechanical properties of fiber reinforced composite (FRP) raises new concerns on the accurate reliability evaluation of composite structures, but such statistical correlation still lacks experimental verification. In this work, an experimental methodology is proposed to determine the statistical correlation between mechanical properties of unidirectional FRP composite. A rectangular shaped carbon fiber reinforced plastic (CFRP) specimen with a circular hole is loaded by tension, and 3D digital image correlation (DIC) is employed to characterize the heterogeneous strain field around the hole. Virtual field method (VFM) is used to derive E(11), E(22), ν(12), and G(12) of specimens. Specimen configuration considering fiber angle and hole diameter is optimized to achieve accurate determination of correlation coefficients. Experimental results on the linear correlation coefficients between E(11), E(22), ν(12), and G(12) agree well with previous theoretical predictions. MDPI 2020-02-03 /pmc/articles/PMC7040935/ /pubmed/32028624 http://dx.doi.org/10.3390/ma13030674 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Shufeng
Xing, Tongzhen
Zhu, Haibin
Chen, Xun
Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite
title Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite
title_full Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite
title_fullStr Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite
title_full_unstemmed Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite
title_short Experimental Identification of Statistical Correlation between Mechanical Properties of FRP Composite
title_sort experimental identification of statistical correlation between mechanical properties of frp composite
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040935/
https://www.ncbi.nlm.nih.gov/pubmed/32028624
http://dx.doi.org/10.3390/ma13030674
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