Journal of Machine and Computing


An Detailed review on Applications of Smart Materials in Structural Engineering



Journal of Machine and Computing

Received On : 05 December 2020

Revised On : 25 January 2021

Accepted On : 25 March 2021

Published On : 05 April 2021

Volume 01, Issue 02

Pages : 057-067


Abstract


Smart structural materials are a fundamental aspect that requires critical analysis in in structural engineering. This research contribution considers two vital crystal structures: Martensite and Austenite with their characteristic variations under different temperatures. From this research, it is seen the smart materials presents two vital features, which are distinguished from typical steels. The first one is the memory shape and the second one is super-elasticity. All of these properties can suit various applications in structural engineering e.g. dual actuators, self-rehabilitation and pre-stress bars. This research is purposed at analyzing the applications of smart materials in the field of structural engineering through the focus of relevant literature reviews, typical collection of data and major mechanic elements of smart materials. In axial tension evaluation, the curve for force and extension and the strain and stress curves of super-elasticity and Shape Memory Alloy (SMA) materials have been considered. The beam experiment with the superelasticity materials considered as the bars for reinforcement has been considered as well. This contribution provides the initial step of evaluation of the wide-range application of smart materials in the field of structural engineering.


Keywords


Smart Materials (SMs), Martensite, Austenite, Super-Elasticity (SE), Shape Memory Alloy (SMA).


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Cite this article


Udula Mangalika, “An Detailed review on Applications of Smart Materials in Structural Engineering”, Journal of Machine and Computing, vol.1, no.2, pp. 057-067, April 2021. doi: 10.53759/7669/jmc202101007.


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© 2021 Udula Mangalika. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.