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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Dynamic mechanical analysis of composites via the linear hereditary theory

Authors: Kliment Hadjov, Kliment Hadjov; Virginia Alexandrova, Virginia Alexandrova; Stanislav Slavov, Stanislav Slavov; Ivelina Ivanova, Ivelina Ivanova; Dimitar Dontchev, Dimitar Dontchev;

Dynamic mechanical analysis of composites via the linear hereditary theory

Abstract

In this paper the authors use the hereditary theory of Boltzmann to describe the elastoviscous behavior of composites and introduce them to the dynamic mechanical analysis (DMA). In order to well describe the experimental data concerning the creep and stress relaxation in large time interval we used a sum of singular kernels in the integral hereditary s. In the linear case we have obtain the storage and loss modules as well as the loss factor as a function of the hereditary functions and kernels. One has obtained the loss factor by cycling of composites as a function of the strain amplitude and frequency. Experimental results for epoxy fiber composite with glass fibers (GFC) and natural fiber composite, namely Hemp 2.5 x 2.5 composite (HFC) [1] illustrate the applicability of the proposed approach. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average